Seminarios de Innovación e Investigación en Informática

The tutorial will motivate the audience on the need for portable, efficient programming models that put less pressure on program developers while still getting good performance for clusters and clusters with GPUs. More specifically, the tutorial will: - Introduce the hybrid MPI/OmpSs parallel programming model for future exascale systems - Demonstrate how to use MPI/OmpSs to incrementally parallelize/optimize: o MPI applications on clusters of SMPs, and o Leverage CUDA kernels with OmpSs on clusters of GPUs Prerequisites: Good knowledge of C/C++. Basic knowledge of CUDA/OpenCL and Paraver/Extrae (Please, previous registration on website)

The objective of this course is to learn how Paraver and Dimemas tools can be used to analyze the performance of parallel applications and to familiarize with the tools usage as well as instrumenting applications with Extrae. (Please, previous registration on website)

In this student competition, which is organised as a part of the High Performance Graphics 2020 Conference, students are invited to implement an innovative solution in which they can use GPU hardware features, such as the tensor cores or RTX ray-tracing hardware extensions for a different purpose than the one for which they have been introduced. For example, the attendees of PUMPS 2019 may remember the presentation of a technique for the acceleration of reductions and scans using the tensor core units. The students of the best two projects will be invited to attend the High Performance Graphics Conference at Washington D.C. during July 16-18, with a travel grant. In this case, the local organiser will accompany the winning team(s).

Possible extension of the submission deadline due to COVID-19.

The objective of this course is to present to potential users the new configuration of MareNostrum and a introduction on how to use the new system (batch system, compilers, hardware, MPI, etc.). In addition, It will provide an introduction about RES and PRACE infrastructures and how to get access to the supercomputing resources available. Learning Outcomes: The students who finish this course will know the internal architecture of the new MareNostrum, how it works, the ways to get access to this infrastructure and also some information about optimization techniques for its architecture. (Please, previous registration on website)

The objective of this course is to learn how to use systems with more than one memory subsystem. We will see the different options on using Intel's KNL memory subsystems and systems equipped with Intel's Optane technology

09:00 - 18:00

This is a multi-month student competition. In this competition, big EDA (electronic design automation) companies define a several problems related to the field of EDA which students are called to solve. The competition takes place in teams under the supervision of an academic advisor and each team can try to solve one or more problems. The solutions are ranked based on some predefined criteria and can be improved over 3 phases, out of which the last one is used for ranking. The 3 top teams are invited to the conference to present their solutions, with a travel grant. In that case, the local organiser will accompany the qualified team(s). Moreover, the top 3 student teams receive monetary awards/prizes. Additional bonuses are provided for releasing the developed solution as open source. The first two of this year's problems require background typically obtained in EDA related courses e.g. Processor Design, Nanoelectronic Circuit Design, Algorithms for VLSI, VLSI, while the 3rd one requires knowledge of CUDA eg. obtained from the Parallel Programming Tools and Models course or PUMPS summer school.

The award ceremony of the top 3 teams will take place in November 2020 at San Diego, US.

The objective of this course is to give a panorama on the use of HPC-based computational mechanics in Engineering and Environment through the projects BSC are carrying on. This panorama includes the basics of what is behind the main tools: computational mechanics and parallelization. The students who finish this course will be able to take active part in such projects both in academia or industry.

A workshop to understand the tool (Flexsim) and be able to start using it for modelling, this workshop also includes a practical formation to experiment with some initial models. The workshop will be on Spanish language. To register to the seminar is mandatory to access this link https://www.eventbrite.es/e/entradas-flexsim-workshop-y-training-en-la-upc-88677921049

16:30-19:30

The course brings together key information technologies used in manipulating, storing, and analysing data including: - the basic tools for statistical analysis, - techniques for parallel processing, - tools for access to unstructured data, - storage solutions. (Please, previous registration on website)

Objectives: The objective of this course is to give an overview of BSC storage solutions, Hecuba and dataClay. These two platforms allow to easily store and manipulate distributed data from object-oriented applications, enabling programmers to handle object persistence using the same classes they use in their programs, thus avoiding time consuming transformations between persistent and non-persistent data models. Also, Hecuba and dataClay enable programmers to transparently manage distributed data, without worrying about its location. This is achieved by adding a minimal set of annotations in the classes. Learning Outcomes In the course, the Hecuba and dataClay syntax, programming methodology and an overview of their internals will be given. Also, an overview of COMPSs at user level will be provided in order to take advantage of the distribution of data with both platforms. The attendees will get a first lesson about programming with the common storage interface that will enable them to start programming with both frameworks. A hands-on with simple introductory exercises will be also performed for each platform, with and without COMPSs to distribute the computation. The students who finish this course will be able to develop simple Hecuba and dataClay applications and to run them both in a local resource and in a distributed platform (initially in a private cloud)

Objectives: The objectives of this course are COMPSs is a programming model which is able to exploit the inherent concurrency of sequential applications and execute them in a transparent manner to the application developer in distributed computing platform. This is achieved by annotating part of the codes as tasks, and building at execution a task-dependence graph based on the actual data used consumed/produced by the tasks. The COMPSs runtime is able to schedule the tasks in the computing nodes and take into account facts like data locality and the different nature of the computing nodes in case of heterogeneous platforms. Additionally, recently COMPSs has been enhanced with the possibility of coordinating Web Services as part of the applications. COMPSs supports Java, C/C++ and Python as programming languages. Learning Outcomes: In the course, the COMPSs syntax, programming methodology and an overview of the runtime internals will be given. The attendees will get a first lesson about programming with COMPSs that will enable them to start programming with this framework. A hands-on with simple introductory exercises will be also performed. The students who finish this course will be able to develop simple COMPSs applications and to run them both in a local resource and in a distributed platform (initially in a private cloud Prerequisites: Programming skills in Java

Afopa és una agrupació d'Aules dedicades a la formació permanent de la gent gran que concentra els seus esforços en sensibilitzar als ciutadans de la necessitat de seguir una formació per al desenvolupament personal, cultural i social de les persones. L'objectiu prioritari de l'agrupació és millorar la qualitat de vida de la gent gran seguint el camí de la cultura. I això és possible gràcies a les col·laboracions amb un conjunt d'Aules que fan possible l'accés de la gent gran al conjunt de l'oferta formativa existent. Els estudiants de màster poden contribuir definitivament a la formació de la gent gran mitjançant una xerrada tècnica, a més de poder rebre un interessant feedback. Qui vulgui presentar un treball de recerca, un treball dirigit o la seva feina en el seu TFM, poden proposar una xerrada a la persona de contacte a l'UPC. Envieu un títol orientatiu, la temàtica o paraules claus, i una breu descripció.

Tot el quadrimestre

This course is the first course in the University of Toronto's Self-Driving Cars Specialization. Self-driving cars are one of the state-of-the-art research topic for machine learning, which is a crucial part of Data Science. In this course I obtained crucial knowledge about deep learning techniques that can be applied to self-driving cars, and provided me basic knowledge for a next step in my career.

Flexible

Novartis organized their 2nd edition of datathon with the collaboration of Eurecat. The aim was solving a data science challenge related to financial data, the team that do a prediction more effectively win the competition.

Organized by FIB, BSC-CNS, hackersUPC, Sant Joan de Deu, CREB and rarehacks. During three days, students, professors, researchers and people related to health and IT will work together to achieve solutions to some rare diseases problems. The possible solutions will imply technologies in AI, Big Data, Virtual Reality, Computer Graphics, HPC, 3D printer, etc. There will be talks and workshops in technologies. Breakfast, lunch and dinner are free. There will be lot of solidarity and fun. And... you may use Marenostrum!

Friday (18-23:30h), Saturday (9-23h), Sunday (9-17h)

This course focuses on modelling two of the highest impact natural hazards, volcanic eruptions and tsunamis. The objective is to give a succinct theoretical overview and then introduce students on the use of different HPC flagship codes included in the Center of Excellence for Exascale in Solid Earth (ChEESE). Learning Outcomes: Participants will learn and gain experience in installing SE codes and related utilities and libraries, running numerical simulations, monitoring the execution of supercomputing jobs, analyzing and visualizing model results. At least University degree in progress on Earth Sciences, Computer Sciences or related area. o Basic knowledge of LINUX o Knowledge of C, FORTRAN, MPI or openMP is recommended o Knowledge of Earth Sciences data formats is recommended (grib, netcdf, hdf,¿) o Basic knowledge of python

Novartis organized their 2nd edition of datathon with the collaboration of Eurecat. The aim was solving to data science challenge related to financial data, the team do a prediction more effectively win the competition.

The objective of this PATC course is to cover the basics of a high performance computing (HPC) environment oriented towards earth science applications, specifically chemical weather modelling and climate modelling. More precisely, the course will cover: - Introduction to earth science fundamentals and modelling; - Basic usage of an HPC environment: shell, compilers, libraries, file systems, queuing system; - Build and configure targeted earth science applications with the NMMB/BSC-CTM chemical transport model and with the EC-EARTH climate model; - Execute and monitor numerical experiments using a workflow manager; - Analyse and visualise model outputs with a wide set of tools. Prerequisites: - At least University degree in progress on Earth Sciences, Computer Sciences or related area - Basic knowledge of UNIX - Knowledge of C, FORTRAN, MPI or openMP is recommended - Knowledge of Earth Sciences data formats is recommended (grib, netcdf, hdf,¿) - knowledge of R and python

In its fourth edition, IN(3D)USTRY becomes INDUSTRY From Needs to Solutions to include more industrial sectors. Our main goal is to cover the entire value chain and provide intelligent manufacturing solutions.

The objectives of this course are to understand the fundamental concepts supporting message-passing and shared memory programming models. The course covers the two widely used programming models: MPI for the distributed-memory environments and OpenMP for the shared-memory architectures. The course also presents the main tools developed at BSC to get information and analyze the execution of parallel applications, Paraver and Extrae. It also presents the Parallware Assistant tool, which is able to automatically parallelize a large number of program structures, and provide hints to the programmer with respect to how to change the code to improve parallelization. It deals with debugging alternatives, including the use of GDB and Totalview. The use of OpenMP in conjunction with MPI to better exploit the shared-memory capabilities of current compute nodes in clustered architectures is also considered. Paraver will be used along the course as the tool to understand the behavior and performance of parallelized codes. The course is taught using formal lectures and practical/programming sessions to reinforce the key concepts and set up the compilation/execution environment.

HackUPC is the first student hackathon in Spain. This will be our sixth edition with 700 awesome hackers and lots of side activities to learn new technologies, meet interesting people and have fun. Come make history with us!

Friday 3pm to Sunday 5pm

Conferencia de Python en la que se imparten varias charlas y talleres sobre Machine Learning y Big Data con Python. La agenda de la conferencia, en la que pueden encontrarse todas las charlas/talleres anteriormente mecionados puede encontrarse en la web de la PyCon (adjuntada en la petición).

GECON 2019 builds upon the very successful tradition of the conference previous editions since 2003, (http://www.gecon-conference.org). GECON solicits contributions that are interdisciplinary, combining business and economic aspects with engineering and computer science related themes. Contributions to this conference can include extensions to existing technologies, successful deployments of technologies, economic analyses, analyses of technology adoptions, and theoretical models. We welcome papers that combine micro- and macro-economic principles with resource management strategies in computer science and engineering. Case studies, which demonstrate practical use of economic strategies, benefits and limitations, are particularly encouraged. The purpose of this event is to gather original work and build a strong multidisciplinary community in this increasingly important area of a future information and knowledge economy.

http://gecon2019.gecon.info/index.php/program

GECON 2019 builds upon the very successful tradition of the conference previous editions since 2003, (http://www.gecon-conference.org). GECON solicits contributions that are interdisciplinary, combining business and economic aspects with engineering and computer science related themes. Contributions to this conference can include extensions to existing technologies, successful deployments of technologies, economic analyses, analyses of technology adoptions, and theoretical models. We welcome papers that combine micro- and macro-economic principles with resource management strategies in computer science and engineering. Case studies, which demonstrate practical use of economic strategies, benefits and limitations, are particularly encouraged. The purpose of this event is to gather original work and build a strong multidisciplinary community in this increasingly important area of a future information and knowledge economy.

http://gecon2019.gecon.info/index.php/program

GECON 2019 builds upon the very successful tradition of the conference previous editions since 2003, (http://www.gecon-conference.org). GECON solicits contributions that are interdisciplinary, combining business and economic aspects with engineering and computer science related themes. Contributions to this conference can include extensions to existing technologies, successful deployments of technologies, economic analyses, analyses of technology adoptions, and theoretical models. We welcome papers that combine micro- and macro-economic principles with resource management strategies in computer science and engineering. Case studies, which demonstrate practical use of economic strategies, benefits and limitations, are particularly encouraged. The purpose of this event is to gather original work and build a strong multidisciplinary community in this increasingly important area of a future information and knowledge economy.

http://gecon2019.gecon.info/index.php/program

Research and solution design

Solution Implementation

Workshops and formation of the students

In June 2016, an early group of builders, archivists, policymakers, and journalists gathered for the first Decentralized Web Summit within the columns of the Internet Archive headquarters in San Francisco, home to one of the world's largest digital libraries. Its founder, Brewster Kahle, issued a challenge to these early developers: let's use decentralized technologies to "Lock the Web Open," this time for good. 2016's gathering was a call to the Dreamers to build a better Web. 2018's Decentralized Web Summit ¿ Global Visions / Working Code is a demonstration of how far we have come. With scores of prototypes and apps now built with decentralized protocols, it's time to collaborate, communicate and engage the communities who need these tools the most.

DWebCamp is a community-built event where people from all around the world meet to imagine and co-create that better Web. We decided to build an experimental network for an experimental event at a new venue that is itself undergoing its own experiment, but we also knew our 500 expected participants is exactly the right crowd to experiment with together, so we drafted the following design goals: - Reliable local network with 802.11ac speeds - Access points in key areas for client devices (e.g. phones and laptops) to connect - Allow Camp participants to extend or run locally-hosted services on the network - Carry traffic to Internet gateway for client devices to access the Internet with limited bandwidth and reliability - Document setup and learnings for future events or other groups Network Stewards at DWeb Camp are people who are committed to helping other campers learn about and tinker with the local network and Internet connectivity arrangement, and to help people address general device connectivity issues should that arise around them during their stay at Camp.

Why is it worth to learn Deep Learning? Because it is very effective in tasks like: understanding images, understanding natural languages, translations, driving cars and more. Why is it worth to know pytorch? Pytorch is a machine/deep learning library for python mainly developed by Facebooks's AI Research Group. Since pytorch's models are just like other python programs, it quite easy to write and debug them. Hence pytorch is great for research and experiments. Moreover, with new version 1.0, pytorch introduce "script mode" that aims to become also a tool for writing production code. In this workshop we give an introduction to deep learning using pytorch. You will have an opportunity to build, train and evaluate few models. We start with a simple single layer neural networks, go though convolutional ones and finish with recurrent neural network. We will train algorithms to predict sales, recognise objects on images and classify texts.

9:00 AM to 12:00 PM

Realization of a course in machine learning in MESIO summer school. The course was related to the different aspects of machine learning.

This course aims to provide an extremely practical vision of the application to real problems of modeling techniques, from the most basic to the most state-of-the art ones, in highly quantitative business environments (banking and finance). The goals of this course is to learn the challenges involved in creating a model in the real world from obtaining the data to the best model to be used and the validation mechanisms depending on the type of problem. Good practices and description of the usual problems in a large modeling project.

The course taught by Dr. Christian Weiss comprises an introduction to the modeling of discrete time-series, by looking at the different models for discrete count-like, ordinal and categorical time-series. Throughout the lectures, models and methods are illustrated with diverse real-data time series using the statistical software R.

25-27 9:00~13:00, 28 8:00~11:00

The PUMPS Summer School is delivered by the GPU Center of Excellence (GCOE) awarded by NVIDIA to the Barcelona Supercomputing Center (BSC) in association with Universitat Politècnica de Catalunya (UPC). This eighth edition of the Programming and Tuning Massively Parallel Systems summer school (PUMPS) is aimed at enriching the skills of researchers, graduate students and teachers with cutting-edge technique and hands-on experience in developing applications for many-core processors with massively parallel computing resources like GPU accelerators.

Knowing how to classify a categorical response variable based on information provided by predictor variables is a necessary skill for any data scientist. This course will teach statistical and machine learning methods for classification and illustrate their application by analyzing a variety of real datasets using R. The participants will be given a similar dataset to analyze to gain hands-on experience.Course goalsThis course will provide a hands-on training in statistical and machine learning methods for classification, their implementation using R, and their application.Course contents The course will be taught using the book, An Introduction to Statistical Learning with Applications in R, by James, Witten, Hastie, and Tibshirani, Springer, 2013. A free PDF copy of the book can be downloaded from http://www-bcf.usc.edu/~gareth/ISL/. The following is a tentative schedule and list of topics to be covered:

This course identifies topics that are both fundamental to computer architecture and relevant to the design of microprocessors of the future. The emphasis is always on insights that will be useful to the graduate student, whether he/she goes on for a PhD or joins a microprocessor design team. The course would also be useful to the non- computer-architecture student who realizes that a deeper awareness of what is being thought of in computer architecture could have major impact on his/her non- architecture future work.

The objective of this course is to learn how Paraver and Dimemas tools can be used to analyze the performance of parallel applications and to familiarize with the tools usage as well as instrumenting applications with Extrae. (Please, previous registration on website)

Hackers@UPC and FIB have organize this brilliant hackathon to join Milestone Systems at UPC. Milestone develops video management solutions (VMS) that make our lives, jobs, and organizations safer and better. At the hackathon, you will develop your idea and pitch it to a jury of experienced industry leaders. You can look forward to two exciting days of keynotes, ideation, hacking, demos, and great networking. We have invited some of the brightest minds around to inspire and guide you.

The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources. In general, we refer to a processor as massively parallel if it has the ability to complete more than 64 arithmetic operations per clock cycle. Many commercial offerings from NVIDIA, AMD, and Intel already offer such levels of concurrency. Effectively programming these processors will require in-depth knowledge about parallel programming principles, as well as the parallelism models, communication models, and resource limitations of these processors.

09:00h to 18:00h

Content/abstract: * Data representation and service specification in clinical decision support systems * Decision models for clinical decision support systems * Representation and enactment of clinical workflows (guidelines, algorithms) * Verification of clinical workflows and mitigation of adverse interactions between multiple workflows * Construction of decision models from clinical data * Data fusion techniques for multi-modal clinical data

8th and 9th April (15:00 to 18:00)

This is an expansion of the topic "OpenACC and other approaches to GPU computing" covered on last years editions of the Introduction to CUDA Programming. This course is delivered by the GPU Center of Excellence (GCOE) awarded by NVIDIA to the Barcelona Supercomputing Center (BSC) in association with Universitat Politecnica de Catalunya (UPC). It will provide very good introduction to the PUMPS Summer School run jointly with NVIDIA - also at Campus Nord, Barcelona.. As an NVIDIA GPU Center of Excellence, BSC and UPC are deeply involved in research and outreach activities around GPU Computing. OpenACC is a high-level, directive-based programming model for GPU computing. It is a very convenient language to leverage the GPU power with minimal code modifications, being the preferred option for non-computer scientists. This course will cover the necessary topics to get started with GPU programming in OpenACC, as well as some advanced topics.. (Please, previous registration on website)

Workshop to understand the tool (Flexsim) and be able to start using it for modelling. See the registration link on the event website, and select "Workshop". The workshop will be on Spanish language.

16:00-20:00

Workshop to understand the tool (Flexsim) and be able to start using it for modelling, also this seminar includes a practical formation to work with some initial models. See the event website for registration and select "Workshop + Formación" The workshop and he formation will be on Spanish language.

16:00-20:00

To explain the different components that MareNostrum 4 is composed, which were the design decisions taken and why. To explain how the system administration is taken in this Petaflop system. Learning Outcomes: The students will learn how MareNostrum 4 is organized and how it works. This can have some insights and ideas about how to manage clusters of thousands of nodes in a HPC or no-HPC environment.

Big Data Architecture and Design training teaches the basic concepts and details to take into account when designing a Big Data Architecture. The trainees will learn the impact of technical and functional constraints on the storage and processing choices. Going further the course will show, through industrial use cases, the raise of new architecture patterns. The course includes a practical part with hands-on session on distributed framework. The trainees will learn how to prepare the data and how to process data in batch and in real time.

Thursday, Friday, Monday, Tuesday (15:00 to 18:00)

The course will make the attendants familiar with simulation technologies used in Life Sciences and their specific adaptation to HPC environment Detailed outline: 1) Introduction to bio molecular simulation 2) Coarse-grained and atomistic simulation strategies 3) Automated setup for simulation 4) HPC specifics: Large scale parallelization, use of GPU's 5) Storage and strategies for large scale trajectory analysis Prerequisites: Basic knowledge of structural bioinformatics Basic knowledge of parallelization strategies

Aquest taller té com a públic objectiu investigadors, professors i estudiants que estiguin interessats a conèixer i formar-se en les següents tecnologies: Cloud, Intel·ligència Artificial, Machine Learning, Deep Learning...

de 9:30h a 18:00h

La tecnologia és tot aquell conjunt de coneixement tècnic que ens permet adaptar-nos al medi ambient. La nostra història està plena de millores tecnològiques que ens han portat a poder viure millor. Des del grup promotor Sobtec, volem centrar-nos en un seguit de tecnologies, que comencen a agafar rellevància a partir dels anys 60, i que emmarquem dins del terme de tecnologies informàtiques.

10:00 - 19.30

Implementation of MQTT algorithm in Java to send a file to Raspberry Pi. Simulation of the connections, handling exceptions and as well as no-connection situations

The objective of this course is to learn how to use systems with more than one memory subsystem. We will see the different options on using Intel's KNL memory subsystems and systems equipped with Intel's Optane technology

09:00 - 18:00

A nightly hackathon proposed by Hackers at UPC group. Further information can be found on their website or in their Twitter account. Web: https://hackersatupc.org Twitter: https://mobile.twitter.com/HackersUPC

Starts at 20:00 lasts all night

The objective of this course is to give a panorama on the use of HPC-based computational mechanics in Engineering and Environment through the projects BSC are carrying on. This panorama includes the basics of what is behind the main tools: computational mechanics and parallelization. The students who finish this course will be able to take active part in such projects both in academia or industry.

The course brings together key information technologies used in manipulating, storing, and analysing data including: - the basic tools for statistical analysis, - techniques for parallel processing, - tools for access to unstructured data, - storage solutions. (Please, previous registration on website)

9:30 - 17:30

Objectives: The objectives of this course are COMPSs is a programming model which is able to exploit the inherent concurrency of sequential applications and execute them in a transparent manner to the application developer in distributed computing platform. This is achieved by annotating part of the codes as tasks, and building at execution a task-dependence graph based on the actual data used consumed/produced by the tasks. The COMPSs runtime is able to schedule the tasks in the computing nodes and take into account facts like data locality and the different nature of the computing nodes in case of heterogeneous platforms. Additionally, recently COMPSs has been enhanced with the possibility of coordinating Web Services as part of the applications. COMPSs supports Java, C/C++ and Python as programming languages. Learning Outcomes: In the course, the COMPSs syntax, programming methodology and an overview of the runtime internals will be given. The attendees will get a first lesson about programming with COMPSs that will enable them to start programming with this framework. A hands-on with simple introductory exercises will be also performed. The students who finish this course will be able to develop simple COMPSs applications and to run them both in a local resource and in a distributed platform (initially in a private cloud Prerequisites: Programming skills in Java

The cours was focused on learning the new techniques to parse data logs, csv or xmls files, create data bases and store the infromation there for later create requests and retrieve the information needed. Also some useful libraries were explained.

9:00-18:00

El funcionament dels Code Clubs és molt senzill: durant una hora a la setmana, els voluntaris s'acosten fins a l'escola del seu barri (o a la més propera a la feina, etcètera...) i porten a terme tallers de programació als nens de l'escola seguint els materials didàctics que hem preparat.

The Modern JavaScript Bootcamp starts from scratch and builds up your knowledge of the JavaScript language. Yes, you'll learn all the features of the language, but you'll also learn how to use those features together to create a complete application. This comprehensive course covers the modern ES6 and ES7 JavaScript features used in the real world. You'll gain an understanding of the latest cutting-edge language features. Getting experience writing code on your own is a big part of learning JavaScript. That's why there are over 80 challenges designed to get you writing code, adding app features, and solving a wide range of problems. These challenges will give you the skills and confidence needed to create your own web application. There are no starter projects here. You'll see what it takes to launch a JavaScript application, from the first line of code to the final deployed application.

The Complete React Web Developer Course starts with the fundamentals and covers everything that's needed to build and launch React web apps. This course was designed around one goal: turning you into a professional React developer capable of developing, testing, and deploying real-world production applications. Companies like Facebook, Walmart, Uber, Airbnb, and Netflix are all using React in production right now. They've also made heavy investments in the React ecosystem, creating new libraries and tools that speed up and simplify React development. From the biggest to the smallest, everyone's using React and new job opportunities are easy to find.

The objective of this PATC course is to cover the basics of a high performance computing (HPC) environment oriented towards earth science applications, specifically chemical weather modelling and climate modelling. More precisely, the course will cover: - Introduction to earth science fundamentals and modelling; - Basic usage of an HPC environment: shell, compilers, libraries, file systems, queuing system; - Build and configure targeted earth science applications with the NMMB/BSC-CTM chemical transport model and with the EC-EARTH climate model; - Execute and monitor numerical experiments using a workflow manager; - Analyse and visualise model outputs with a wide set of tools. Prerequisites: - At least University degree in progress on Earth Sciences, Computer Sciences or related area - Basic knowledge of UNIX - Knowledge of C, FORTRAN, MPI or openMP is recommended - Knowledge of Earth Sciences data formats is recommended (grib, netcdf, hdf,¿) - knowledge of R and python

Radical Networks is a conference that celebrates the free and open Internet, with hands-on workshops, speakers, and a gallery exhibiting artworks centered around radio and networking technology. It fosters critical discussion on contemporary issues that include surveillance, the spread of misinformation, ownership of personal data, and the increasing opacity of "The Cloud". Radical Networks is also an arts festival that considers networking technology as an artistic medium, featuring works that run the gamut from ethical hacks to creative experiments to live performances. This event brings together artists, activists, community organizers, journalists, technologists, educators, and the public, to exchange ideas and look under the hood of what makes the Internet work. Radical Networks is in its fourth year and is the first festival and conference of its kind in the United States. This year we are expanding the event to Berlin, Germany from October 19-21, 2018.

If you are a WOMAN and you study a master's degree or do a doctorate in degrees in the field of computing, come to the Barcelona Grad Cohort Workshop. On October 18th and 19th, 2018, the first Grad Cohort Workshop outside the USA will take place in Barcelona, organized by the Facultat d'Informàtica de Barcelona (FIB) of the Universitat Politècnica de Catalunya and the Comissió de Gènere Dones-COEINF del Col·legi Oficial d'Enginyeria en Informàtica de Catalunya. This first edition is linked to the act of investiture of Mrs. Margaret Hamilton as doctor honoris causa by the UPC. He was the one who defined the term "software engineering" when working on NASA's Apollo missions. The Grad Cohort Workshop began in the USA in 2004. They are meetings of women students of master's or doctorate in the field of information technology. The aim of these meetings is to contribute to the visibility of women in our technological field, to offer the participants the different professional perspectives, to create a networking space and to encourage women not to leave the sector.

Look the agenda

The objectives of this course are to understand the fundamental concepts supporting message-passing and shared memory programming models. The course covers the two widely used programming models: MPI for the distributed-memory environments and OpenMP for the shared-memory architectures. The course also presents the main tools developed at BSC to get information and analyze the execution of parallel applications, Paraver and Extrae. It also presents the Parallware Assistant tool, which is able to automatically parallelize a large number of program structures, and provide hints to the programmer with respect to how to change the code to improve parallelization. It deals with debugging alternatives, including the use of GDB and Totalview. The use of OpenMP in conjunction with MPI to better exploit the shared-memory capabilities of current compute nodes in clustered architectures is also considered. Paraver will be used along the course as the tool to understand the behavior and performance of parallelized codes. The course is taught using formal lectures and practical/programming sessions to reinforce the key concepts and set up the compilation/execution environment.

Weekly research seminar that presents the latest results in Computer Graphics and Visualization and projects developed by the ViRVIG Group.

12:30-13:30

Presented a paper for the graphics seminar along with a state of the art report.

L'objectiu és triple: ajudar-los a ubicar-se tant físicament (els espais, el seu ús) com acadèmicament (organització del grau, normatives, eines, dificultats), propiciar la creació de noves relacions socials treballant en grups petits amb continguts no acadèmics i, per últim, donar-los eines per desenvolupar hàbits d'estudi saludables i profitosos. Més informació: https://www.fib.upc.edu/ca/estudis/graus/pla-daccio-tutorial/mentories-entre-iguals

Es tracta d'un seminari impartit per diferents professors estrangers que cobreix els següents conceptes: Feature Selection, Deep Learning with multiple frameworks and Microsoft Azure Data Science and Deep Learning Virtual Machines editions and Machine Learning services of interest.

9.00-13.00 i de 14.00-17.00

The PUMPS Summer School is delivered by the GPU Center of Excellence (GCOE) awarded by NVIDIA to the Barcelona Supercomputing Center (BSC) in association with Universitat Politècnica de Catalunya (UPC). This eighth edition of the Programming and Tuning Massively Parallel Systems summer school (PUMPS) is aimed at enriching the skills of researchers, graduate students and teachers with cutting-edge technique and hands-on experience in developing applications for many-core processors with massively parallel computing resources like GPU accelerators.

https://pumps.bsc.es/2018/about-pumps-ai/program

The course is an introduction to data analysis in neuroscience. The aim is to understand standard concepts and methods used to study and interpret brain connectivity (e.g., Granger causality, graph theory, machine learning) with a focus on their statistical aspects. During the course, students will use real data (whole-brain functional and structural MRI) and improve their programming skills (Python with numpy, scipy and scikit-learn) to implement such methods and discuss their findings.

July 2nd to 6th, from 15:00 to 18:00h.

Lectures are held using Powerpoint while Labs are a mixture of SAS practicals, discussions and illustrations. Day 1 Lecture 1 - Introduction Lecture 2 - Two-stage designs for normally distributed data Lab 1 - Two-stage designs for clinical trials Day 2 Lecture 3 - Sequential designs Lab 2 - Group sequential designs for clinical trials Lecture 4 - Sample size reviews Lab 3 - Design issues (Discussion session) Day 3 Lecture 5 - Multi-arm adaptive designs Lab 4 - Estimation after an adaptive design Lecture 6 - Bias and Selection Day 4 Lecture 7 - Fully flexible adaptive designs Discussion and end

July 2nd to 4th, from 9:00 to 13:00h, July 5th, from 9:00 to 12:00h

Many statistical problems have a mathematical structure very well defined: they can be seen as generative models that in some cases have some unknown parameters. The traditional statistical methods (hypothesis test, linear models, generalized linear models, etc) and their generalizations (GAM, non-linear, etc) may be used efficiently in particular situations. Nevertheless, it is quite common that they do not capture the totality of the model (for example, the a priori information). Bayesian statistics allows, at least from the theoretical point of view, to solve the model in its enterity. Moreover, since the computers are a popular thing and the programing languages have been extended, as Stan, they also can be reached entirely from a practical point of view. The course will allow to see how to consider and solve froma Bayesian prestective a set of real and practical problems, from the more simple ones (hypothesis test) to other more advanced ( hiden markov problems, Kalman filter, etc) very important in its applications. The objective of this course is that the student learn how to set out the probabilistic structure (generative) of an statistical problem, to use Stan to estimate the parameters and to use this information to take decisions based on the information provided for the data.

MORNING: 9.00 am to 12.00 pm

We are going to explain how Data Scientist trained to work with R can work with Hadoop without need to learn Scala. We will discuss two possible work¿ows. First approach is using SQL on Hive or Impala. This implies that the most important part of analysis has to be done locally. Second method is to try to do some part of analysis on clusters using sparkR/sparklyR. Both methods have their advantages and limitations. We are going to discover them by working on a project that involves creating predictive model.

AFTERNOON: 3.00 to 6.00 pm.

In this hands-on, we will learn how Machine Learning and Optimization work together to create autonomic networks. An autonomic network is able to adaptively self re-configure its resources to meet current and future conditions. An experimental testbed will be deployed from the scratch, using some useful open source systems. The hands-on is structured so every day a new component will be introduced from both, the theory and the practice. The plan is as follows: - Session 1: Networking environment (Mininet). Introduction to network planning (open source planning tool: Net2plan) - Session 2: Collecting and analyzing network traffic data. Application of ML for traffic forecast and classification. A Monitoring and Data Analytics (MDA) tool will be developed. - Session 3: Software defined networking (SDN). Deployment of ONOS SDN controller. Development of APIs. - Session 4: Autonomic Networking. Monitoring data analysis and network optimization (Mininet+MDA+ONOS+Net2plan) - Session 5: Projects presentations and lessons learned. The scenario will require a virtual machine to be created in the students' laptops on top of Oracle VirtualBox.

Mon-Thru 4 hours of lectures + lab and 4 hours of gruop work. Friday 4 hours.

This course identifies topics that are both fundamental to computer architecture and relevant to the design of microprocessors of the future. The emphasis is always on insights that will be useful to the graduate student, whether he/she goes on for a PhD or joins a microprocessor design team. The course would also be useful to the non- computer-architecture student who realizes that a deeper awareness of what is being thought of in computer architecture could have major impact on his/her non- architecture future work.

This course identifies topics that are both fundamental to computer architecture and relevant to the design of microprocessors of the future. The emphasis is always on insights that will be useful to the graduate student, whether he/she goes on for a PhD or joins a microprocessor design team. The course would also be useful to the non-computer-architecture student who realizes that a deeper awareness of what is being thought of in computer architecture could have major impact on his/her non-architecture future work. We will deal with principles, tradeoffs, and implementation details. We will cover mechanisms (e.g., trace caches, helper threads, branch prediction, bandwidth). We will discuss the implications of multi-core on future microprocessor design. We will examine current state of the art microprocessors. In addition to the class lectures/discussions, students will carry out an out-of-class project and make a presentation on what they learn to the class. There will be a written final examination that will be taken outside of class and turned in prior to the final class meeting.

First day: talk 12:00 , Other days: 15-18h

This is a course with a duration of 3 days, organized by HP Barcelona, where we will learn the new general features introduced in C++ 11/14 (auto, smart pointers, lambdas...), the features that allow concurrency (thread, mutex...), general design patterns and synchronous and asynchronous message passing methods.

9:00 - 18:00

Desenvolupar una eina que permeti recopilar de la manera més exhaustiva possible una activitat (conversa identificada per un o més "hashtags") incloent els participants actius, els participants passius i els missatges intercanviats dins un príode de temps determinat.

I participated last summer (May-August) in the GSoC 2018 under the pcp tool. This is seen as a full time internship during three months and consists on helping an open source community, in my case, I developed a new feature in the pcp framework a tool that helps to monitor servers that is open source. This topic is related to high performance computing since in the OS subject we have done similar things and also I was dealing with threads and events with low C coding. Google is the sponsor of this activity and I received a stipend and a certification of success. I would like to get three credits as an international internship since although I was working here, I was working on remote since my tutor for this project was in Australia and had weekly meetings.

3 months 30h per week on average

- Get a comprehensive view of the architecture of the heterogeneous ARM-based platforms deployed in the framework of the Mont-Blanc project, including ARM multicore clusters based on mobile and server technology. - Allow attendees to compile and test scientific codes on innovative ARM-based systems with the support of Mont-Blanc experts. - Understand and correlate performance and power consumption figures of scientific codes. Prerequisites: Standard HPC users, with some knowledge in ARM CPU/GPU architecture (recommended, but not required). BSc (or higher) degree in science or engineering with basic knowledge in parallel computing. We foresee some hands-on session, therefore attendees should bring their own laptop. (Please, previous registration on website)

The tutorial will motivate the audience on the need for portable, efficient programming models that put less pressure on program developers while still getting good performance for clusters and clusters with GPUs. More specifically, the tutorial will: ¿ Introduce the hybrid MPI/OmpSs parallel programming model for future exascale systems ¿ Demonstrate how to use MPI/OmpSs to incrementally parallelize/optimize: o MPI applications on clusters of SMPs, and o Leverage CUDA kernels with OmpSs on clusters of GPUs Prerequisites: Good knowledge of C/C++. Basic knowledge of CUDA/OpenCL and Paraver/Extrae (Please, previous registration on website)

The objective of this course is to learn how Paraver and Dimemas tools can be used to analyze the performance of parallel applications and to familiarize with the tools usage as well as instrumenting applications with Extrae. (Please, previous registration on website)

The course will consist on several sessions of information visualization concepts, mostly univariate and multivariate data, and complex visualization structures (e.g. trees, hierarchies...).

15:00 - 17:00, classroom A5204

The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources. In general, we refer to a processor as massively parallel if it has the ability to complete more than 64 arithmetic operations per clock cycle. Many commercial offerings from NVIDIA, AMD, and Intel already offer such levels of concurrency. Effectively programming these processors will require in-depth knowledge about parallel programming principles, as well as the parallelism models, communication models, and resource limitations of these processors.

09:00h to 18:00h

Presentation of a Poster in the IEEE Wireless Communications and Networking Conference (WCNC2018). The field of the poster was directly related with the Networks-on-Chips, which is a subfield of the Computer Architecture. The high performance computing speciality of this master englobes the foundaments of Computer Architecture, and therefore this conference is directly related with the contents taken in a branch of this master. The presented poster can be seen at the following link: https://arxiv.org/pdf/1809.01432.pdf

April 15th from 9.00h to 20.00h, April 16h - April 18th from 8.30h to 17.30h

The objective of this course is to present to potential users the new configuration of MareNostrum and a introduction on how to use the new system (batch system, compilers, hardware, MPI, etc.). In addition, It will provide an introduction about RES and PRACE infrastructures and how to get access to the supercomputing resources available. Learning Outcomes: The students who finish this course will know the internal architecture of the new MareNostrum, how it works, the ways to get access to this infrastructure and also some information about optimization techniques for its architecture. (Please, previous registration on website)

This is an expansion of the topic "OpenACC and other approaches to GPU computing" covered on last years editions of the Introduction to CUDA Programming. This course is delivered by the GPU Center of Excellence (GCOE) awarded by NVIDIA to the Barcelona Supercomputing Center (BSC) in association with Universitat Politecnica de Catalunya (UPC). It will provide very good introduction to the PUMPS Summer School run jointly with NVIDIA - also at Campus Nord, Barcelona.. As an NVIDIA GPU Center of Excellence, BSC and UPC are deeply involved in research and outreach activities around GPU Computing. OpenACC is a high-level, directive-based programming model for GPU computing. It is a very convenient language to leverage the GPU power with minimal code modifications, being the preferred option for non-computer scientists. This course will cover the necessary topics to get started with GPU programming in OpenACC, as well as some advanced topics.. (Please, previous registration on website)

The course will make the attendants familiar with simulation technologies used in Life Sciences and their specific adaptation to HPC environment Detailed outline: ¿ Introduction to bio molecular simulation ¿ Coarse-grained and atomistic simulation strategies ¿ Automated setup for simulation ¿ HPC specifics: Large scale parallelization, use of GPU's ¿ Storage and strategies for large scale trajectory analysis Prerequisites: Basic knowledge of structural bioinformatics Basic knowledge of parallelization strategies

The participants had a 3-days hands-on experience, applying the Design Thinking methodology and developed application prototypes linked to the 17 UN Global Goals for Sustainable Development.

The objetive of this course is to give a panorama on the use of hpc-based computational mechanics in Engineering and Environment through the projects BSC are carrying on. This panorama includes the basics of what is behind the main tools: computational mechanics and parallelization. The training is delivered in collaboration with the center of excellence CompBioMed.

14/Feb/2018 Time: 09:00 - 16/Feb/2018 Time: 18:00

The objective of this course is to give a panorama on the use of HPC-based computational mechanics in Engineering and Environment through the projects BSC are carrying on. This panorama includes the basics of what is behind the main tools: computational mechanics and parallelization. The students who finish this course will be able to take active part in such projects both in academia or industry.

Programa: Primera sessió (3 hores): Introducción a las plataformas IoT para Enterprise Smart Instant Messaging for Intelligent Objects. Benchmark de los productos y servicios para soluciones IoT Segona sessió (3 hores): Presentación de una solución enterprise, a partir de los productos explicados en la primera sesión. Tercera sessió (3 hores): Sesión practica de IoT con la plataforma EdgeXFoundry

15:00h a 18:00h

¿ 12/02/2018. Main characteristics of Big Data and its basic management. Important suggestions are developed for a quality control before to extract significant samples for subsequent analysis. ¿ 13/02/2018 Big Data applications: Big Data and forensics: an innovative approach for a predictable jurisprudence. Big Data for Social and Economics Science. ¿ 14/02/2018. Introduction to Exponential Power Distribution (E.P.D.) and Lp¿norm estimators. Comparison of the Lp¿norm estimators with the Least Squares method (L2) by simulation studies, introducing a linear regression model in the case of multicollinearity. A comparative analysis applying three estimation methods to evaluate the empirical distribution of the regression parameters is considered. ¿ 15/02/2018. Practice of the usage of the normalp package of R. Test of fit-of-godness of the model we present. R environment has a set of tools for dealing with the exponential power distribution. In this package there are functions to compute the density function, the distribution function and the quantiles from an exponential power distribution and to generate pseudo-random numbers from the same distribution. ¿ 16/02/2018 A Generalized Error Distribution Copula-based method for portfolios risk assessment. Comparison of E.P.D with Gaussian distribution to financial markets and examples. Final test to all seminar topics.

10:00h-13:30h, Room: A5104

Objectius: Que els i les participants del seminari: Adquireixin noves eines i recursos per dissenyar projectes que resolguin reptes actuals per tenir un impacte positiu al seu entorn. Aprenguin com avaluar de manera constructiva un projecte per aconseguir un impacte significatiu en els resultats. Fomentin o potenciïn la competència de creativitat i innovació.

de 08:00h a 11:00h

Programa: Introducción (1h) Qué es un negocio intensivo en tecnología. Ejemplos: eficiencia (Vueling vs. Legacies airlines), disrupción (Navitaire vs. Amadeus), efectos de red (eDreams). Características en común en la gestión de los proyectos tecnológicos Análisis del caso de negocio, gestión del ciclo de vida, gestión de los equipos y personas. Análisis del caso de negocio (caso práctico) (3h) Identificación de beneficios cualitativos y cuantitativos Estimación de costes de inversión y explotación Análisis básico de retorno Buenas prácticas en gestión de proyectos (3h) Desarrollo de propuestas / plan de proyectos Seguimiento de proyectos Cierre de proyectos Metodologías ágiles Buenas prácticas en la gestión de equipos (2h) Implicación Delegación Seguimiento Feedback Formación

de 11:00h a 14:00h

Programa: Primera sessió (3 hores): Enterprise Analytics & Data Governance Segona sessió (3 hores): Big Data & Advanced Analytics Tercera sessió (3 hores): Data Discovery, Virtual Reality, 3D Visuals & Chatbots

12/02/2018 de 15h a 18h; 15/02/2018 de 11h a 14h; 16/02/2018 de 15h a 18h

Programa: Primera sessió (3 hores): Introducción a Blockchain Historia: De Bitcoin a la actualidad Descentralización y smart contracts Ethereum y su ecosistema Conectándose a Ethereum Ejercicio: crear un nodo de Ethereum y conectarlo a la red Segona sessió (3 hores): Desarrollo de Smart Contracts con Solidity Introducción al entorno de desarrollo Remix Desarrollo de un contrato con Solidity: Estructura de un contrato Tipos básicos y estructuras de datos Funciones: tipos y modificadores Variables globales y eventos Probando el contrato Ejercicio: desarrollo de un caso de uso con Solidity Tercera sessió (3 hores): Desarrollo de aplicaciones distribuidas Despliegue de un contrato en Ethereum Ejercicio: despligue del smart contract en Ethereum Interacción con el Smart Contract usando Web3 Ejercicio: desarrollo de un caso de uso con HTML/Web3 Desarrollo y test de Smart Contracts con Truffle Ejercicio: probar el Smart Contract con Truffle

08/02/2018 de 15h a 18h; 09/02/2018 de 11h a 14h; 16/02/2018 de 11h a 14h

The course brings together key information technologies used in manipulating, storing, and analysing data including: ¿ the basic tools for statistical analysis, ¿ techniques for parallel processing, ¿ tools for access to unstructured data, ¿ storage solutions. (Please, previous registration on website)

Programa: Introducció als fonaments bàsics de l'estàndard OAuth: característiques i diferències entre les versions 1 i 2 del protocol. Aplicacions consumidores d'autoritzacions OAuth: com utilitzar els serveis OAuth d'altres. Proveïdors d'autoritzacions OAuth per a aplicacions: com oferir els nostres serveis amb OAuth. Fluxos d'autorització: navegador web, ordinador d'escriptori, mòbil, aparells domèstics, etc. L'activitat s'iniciarà amb la introducció dels conceptes teòrics de cada contingut i a continuació es realitzaran exercicis pràctics per consolidar aquests conceptes i resoldre els dubtes que sorgeixin. Els exemples es faran amb el llenguatge de programació Python i el framework Django. Es dona per suposat que els assistents no tenen experiència previa en aquest entorn.

de 11:00h a 14:00h

Programa: Primera sessió (3 hores): Introducció General d'Sparsity, ens enfocarem a veure en quins tipus de projectes treballem a l'empresa, especialment en l'àrea de la mobilitat, Smart Cities i IOT. Segona sessió (3 hores): Sessió pràctica de laboratori. Primera part. Els estudiants podran aprendre a com crear una aplicació mòbil Android que guardi i extregui la informació en una base de dades en graf Sparksee Mobile. Tercera sessió (3 hores): Sessió pràctica de laboratori. Segona part. Els estudiants podran aprendre a com crear una aplicació mòbil Android que guardi i extregui la informació en una base de dades en graf Sparksee Mobile.

08:00h a 11:00h

Primera sessió (3 hores): Definició de competències professionals. Quines són les competències que valoren les empreses? Sector TIC: quines són les competències més valorades per les empreses? Fes el teu test de competències (on line) Segona sessió (3 hores): Anem a gamificar les competències: fem servir el joc per a identificar el teu perfil Tercera sessió (3 hores): Obtenció de distincions i guardons: en què sóc bo? Consells per potenciar i "apoderar-te" en l'àmbit competencial

15:00h a 18:00

Programa: Primera sessió (3 hores): Importància del Software Qality Assurance en metodologies Agile Segona sessió (3 hores): Automatització de proves (web /app movils) Tercera sessió (3 hores): Intel.ligència artificial aplicada al testing

5/02/2018 de 11:00h 14:00h, 09/02/2018 i 15/02/2018, de 08:00h a 11:00h

Programa: Sessió 1. Programming Models. 1 de febrero, 8h00 - 11h00 De 8h00 a 9h30 Programming Models Xavier Martorell This session will introduce the group of Programming Models @BSC, including the main lines of research on simplifying the programming of current and future heterogenous architectures. We will show the development of the OmpSs programming model, and how we support SMP multicore machines, GPUs, and FPGAs. Agenda: Programming Models group @ BSC (15') The OmpSs Programming Model (45') Hands-on demo on various applications and environments (30') De 9h30 a 11h00 Supercomputación en investigación biomédica: sistema cardiovascular Mariano Vázquez En la charla se mostrarán ejemplos de aplicación de la supercomputación en simulaciones a nivel órgano del sistema cardiovascular. Las simulaciones están basadas en el código Alya, desarrollado en el BSC. Se mostrarán simulaciones sobre el corazón y su función, de despliegue de stents en arterias o de uso de biochips computacionales en industria farmacéutica. Sessió 2 Earth Science Department BSC. 2 de febrero, 11h00 - 14h00 D'11h00 a 14h00 Earth Science Department BSC Kim Serradell A series of talks will introduce the research done in the Earth Sciences Department of the Barcelona Supercomputing Center on Climate Prediction, Atmospheric Composition and Computational Earth Sciences as well as the Earth System Services derived from the activities of the Department. The Department develops and applies state-of-the-art Earth Systems Models to study the evolution of the climate, the atmospheric composition and their interrelations. Agenda: Climate prediction/ES Services (45 mins) Atmospheric Composition/ES Services (45 mins) Break (15 mins) Computational Earth Sciences (45 mins) Discussion (30 mins) Sessió 3 Big Data and Machine Learning applied to Science and Engineering. 2 de febrero, 15h00 - 18h00 De 15h00 a 16h30 Big Data and Machine Learning applied to Science and Engineering Carlos Carrasco Jiménez Machine learning (ML) algorithms have been around for a long time, but the ability to apply those algorithms to large volumes of data with a variety of data types being generated at high velocity is a recent development, a concept known as Big Data. Advances in computing capabilities such as storage and processing power have led companies in the private sector to solve problems and identify business opportunities exploiting large amounts of historical data and more recently streams of real time data using ML and Big Data technologies. Furthermore, different fields in science and engineering are turning towards ML and Big Data infrastructures in order to improve our understanding of the world and discover new insights that pose a challenge with traditional methodologies and technologies. This lecture will introduce the concepts of Big Data, Machine Learning and their application to science and engineering. De 16h30 a 18h00 Urban scale video and data analysis, simulation, and visualization of crowds Isaac Rudomin, Leonel Toledo, Ivan Rivalcoba We will discuss our work in urban-scale crowd video and data analysis, simulation, and visualization, as well as their acceleration using heterogeneous clusters with GPUs. Our main contributions are the development of new behavior models that conform to real data, the ability to scale the system by adding computing resources as needed without making programming modifications and the combination of analysis, simulation, and visualization techniques that help us achieve large-scale crowd simulations with realistic behavior.

01/02/2018 de 08h a 11h; 02/02/2018 de 11h a 14h i 15h a 18h

This is a joint collaboration between FIB (MIRI), ETSETB (Master Degree in Telecommunications Engineering) and ESADE (MSc in Innovation and Entrepreneurship). This joint collaboration is established by the 'Partnership Agreement Fusion Point' signed by UPC and ESADE on 1/2/18. Summary of Competences and Objectives: ¿ Know how to apply previous acquired technical knowledge in a real-world case in a multidisciplinary team ¿ Ability to communicate clearly and argue for decisions made in an innovation project ¿ To lead your own work in an independent, proactive manner ¿ To lead work in an explorative project which requires constant reflection and adaptation to new information acquired ¿ Ability to work and efficiently collaborate in a multidisciplinary team: understand what you and others can contribute as professional expertise ¿ Identifying, developing, and assessing opportunities for new business ¿ Managing the key relationships with the organization you work for ¿ Assessing the ethical dimension and social and environmental consequences of an innovation project.

Programa: Sessió 1 Servicios Ágiles y DevOps Nuria Diéguez y Patricia Infantes En este seminario os contaremos cómo se trabaja en las empresas más innovadoras y cómo damos respuesta desde la consultoría a sus necesidades, sobre todo en relación a servicios ágiles & DevOps. Sessió 2 Crea tu primer chatbot inteligente Javier López Este seminario consistirá en una introducción al mundo de los chatbots, durante la sesión, tanto teórica como práctica, os enseñaremos como construir un chatbot, cómo funciona y qué funcionalidades y posibilidades ofrecen. Sessió 3 Introducción a la programación reactiva Ivan del Puerto, Pau Fraces, Anselmo Jose Pelayo En este seminario haremos una breve introducción, tanto teórica como práctica, a la programación reactiva, paradigma enfocado en el trabajo con flujos de datos finitos o infinitos de manera asíncrona.

01/02/2018 de 11h a 14h i de 15h a 18h; 05/02/2018 de 08h a 11h

To explain the different components that MareNostrum 4 is composed, which were the design decisions taken and why. To explain how the system administration is taken in this Petaflop system. Learning Outcomes: The students will learn how MareNostrum 4 is organized and how it works. This can have some insights and ideas about how to manage clusters of thousands of nodes in a HPC or no-HPC environment.

Objectives: The objectives of this course are COMPSs is a programming model which is able to exploit the inherent concurrency of sequential applications and execute them in a transparent manner to the application developer in distributed computing platform. This is achieved by annotating part of the codes as tasks, and building at execution a task-dependence graph based on the actual data used consumed/produced by the tasks. The COMPSs runtime is able to schedule the tasks in the computing nodes and take into account facts like data locality and the different nature of the computing nodes in case of heterogeneous platforms. Additionally, recently COMPSs has been enhanced with the possibility of coordinating Web Services as part of the applications. COMPSs supports Java, C/C++ and Python as programming languages. Learning Outcomes: In the course, the COMPSs syntax, programming methodology and an overview of the runtime internals will be given. The attendees will get a first lesson about programming with COMPSs that will enable them to start programming with this framework. A hands-on with simple introductory exercises will be also performed. The students who finish this course will be able to develop simple COMPSs applications and to run them both in a local resource and in a distributed platform (initially in a private cloud Prerequisites: Programming skills in Java

In the information era, any business is made of two parts: production and service. This leads to the servitization of economy, a global offer of goods and services and more competitiveness; hence to more power for consumers; it is not enough to sell but also must meet the needs of consumers (an increase of productivity based on a loss in the level of service quality, certainly would not ensure long-term profitability). Intangibles represent the main assets of companies and organizations. Hence we need to develop measures to quantify these intangibles. The goal of the seminar is to provide a set of well-established tools for intangible measurement based in the Partial Least Squares Path Modeling approach, as well as their main fields of application: marketing, corporate reputation, customer satisfaction, employee motivation, with special emphasis in big data concern. The seminar is organized from the basis of structural equation modeling (SEM), and then the PLSPM algorithm will be presented. A methodology to interpret results will be suggested on the basis of real life cases. Special attention will be deserved to uncovering heterogeneity on models as a way of better fitting the actual relationships occurring in practice. The training sessions will end by real life applications and provide detailed "hands on" instruction regarding the use of the plspm and pathmox packages in R.

11:00-13:30. A5104

The objective of this PATC course is to cover the basics of a high performance computing (HPC) environment oriented towards earth science applications, specifically chemical weather modelling and climate modelling. More precisely, the course will cover: ¿ Introduction to earth science fundamentals and modelling; ¿ Basic usage of an HPC environment: shell, compilers, libraries, file systems, queuing system; ¿ Build and configure targeted earth science applications with the NMMB/BSC-CTM chemical transport model and with the EC-EARTH climate model; ¿ Execute and monitor numerical experiments using a workflow manager; ¿ Analyse and visualise model outputs with a wide set of tools. Prerequisites: ¿ At least University degree in progress on Earth Sciences, Computer Sciences or related area ¿ Basic knowledge of UNIX ¿ Knowledge of C, FORTRAN, MPI or openMP is recommended ¿ Knowledge of Earth Sciences data formats is recommended (grib, netcdf, hdf,¿) ¿ knowledge of R and python

With this course, we aim to present the TANGO toolbox which provides a set of tools to simplify and optimize the usage of distributed heterogeneous computing environments. We mainly target to attract students, HPC application developers and System administrators which can benefit from the tools we developed at the TANGO project. Students of this course will learn how to use the TANGO toolbox to easily develop parallel applications and efficiently execute them in heterogeneous distributed computing environments. Requirements: Programming skills in C/C++ Learning Outcomes: In the first lesson the student will learn why heterogeneous computing is important nowadays. In the second lesson, students will get an oveview of TANGO toolbox components and the provided functionality. In the third lesson, the attendees will get a first lesson about the programming model and an overview of the runtime internals. The attendees will programming with COMPSs that will enable them to start programming with this framework. A hands-on with simple introductory exercises will be also performed. The students who finish this course will be able to develop simple applications and to run them in a distributed heterogeneous platform.

From 09:00h to 17:30h

The objectives of this course are to understand the fundamental concepts supporting message-passing and shared memory programming models. The course covers the two widely used programming models: MPI for the distributed-memory environments and OpenMP for the shared-memory architectures. The course also presents the main tools developed at BSC to get information and analyze the execution of parallel applications, Paraver and Extrae. It also presents the Parallware Assistant tool, which is able to automatically parallelize a large number of program structures, and provide hints to the programmer with respect to how to change the code to improve parallelization. It deals with debugging alternatives, including the use of GDB and Totalview. The use of OpenMP in conjunction with MPI to better exploit the shared-memory capabilities of current compute nodes in clustered architectures is also considered. Paraver will be used along the course as the tool to understand the behavior and performance of parallelized codes. The course is taught using formal lectures and practical/programming sessions to reinforce the key concepts and set up the compilation/execution environment.

The objetive of this course is to give a panorama on the use of hpc-based computational mechanics in Engineering and Environment through the projects BSC are carrying on. This panorama includes the basics of what is behind the main tools: computational mechanics and parallelization.

- Unsconstrained Optimization - Constrained Optimization and SVM

Visiting Professors' Seminar

We are surrounded by systems that are hopelessly complex, from the society, a collection of seven billion individuals, to communications systems, integrating billions of devices, from computers to cell phones. Our very existence is rooted in the ability of thousands of genes to work together in a seamless fashion; our thoughts, reasoning, and our ability to comprehend the world surrounding us is hidden in the coherent activity of billions of neurons in our brain. In its simplest form, a network is a set of nodes connected by links.

3:00pm to 6:00pm

¿ Fostering team work potential in an international framework; ¿ Gaining entrepreneurship skills for business creation; ¿ Allowing students to test their entrepreneurial potential by demonstrating the feasibility of projects and establishing business plans.

CASTRES (França)