Seminars of Innovation and Research in Informatics

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

12:30-13:30

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.

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 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

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 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

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 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

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)

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.

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 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)

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 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)

This tutorial will introduce the audience to the BSC tools for heterogeneous programming on FPGA devices. It describes OmpSs@FPGA, as a productive programming environment for compute systems with FPGAs. More specifically, the tutorial will: 1) Introduce the OmpSs@FPGA programming model, how to write, compile and execute applications on FPGAs 2) Show the "implements" feature to exploit parallelism across cores and IP cores. 3) Demonstrate how to analyze applications to determine which portions can be executed on FPGAs, and use OmpSs@FPGA to parallelize/optimize them. (Please, previous registration on website)

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.

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.

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 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