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Software Engineering

A partir d'un framework per ensenyar simulació anomenat JGPSS, es pretén completar el sistema per tenir un simulador complert. El sistema JGPSS compta amb més de 9000 descàrregues des de la seva presentació en públic el 2010.

Computer Engineering Computing Information Systems Information Technologies

Companies and scientists working in areas such as finance or genomics are generating enormously large datasets (in the order of petabytes) commonly referred as Big Data. How to efficiently and effectively process such large amounts of data is an open research problem. Since communication is involved in Big Data processing at many levels, at the NaNoNetworking Center in Catalunya (N3Cat) we are currently investigating the potential role of wireless communications in the Big Data scenario. The main focus of the project is to evaluate the impact of applying wireless communications and networking methods to processors and data centers oriented to the management of Big Data. OBJECTIVES =========== N3Cat is looking for students wanting to work in the area of wireless communications for Big Data. To this end, the candidate will work on one of the following areas: - Traffic analysis of Big Data frameworks and applications, as well as in smaller manycore systems. - Channel characterization in Big Data environments: indoor, within the racks of a data center, within the package of CPU, within a chip. - Design of wireless communication protocols for computing systems from the processor level to the data center level.

Computer Engineering Computing

Machine Learning (ML) has taken the world by storm and has become a fundamental pillar of engineering. As a result, the last decade has witnessed an explosive growth in the use of deep neural networks (DNNs) in pursuit of exploiting the advantages of ML in virtually every aspect of our lives: computer vision, natural language processing, medicine or economics are just a few examples. However, NOT all DNNs fit to all problems: convolutional NNs are good for computer vision, recurrent NNs are good for temporal analysis, and so on. In this context, the main focus of N3Cat and BNN-UPC is to explore the possibilities of the new and less explored variant called Graph Neural Networks (GNNs), whose aim is to learn and model graph-structured data. This has huge implications in fields such as quantum chemistry, computer networks, or social networks among others. OBJECTIVES =========== N3Cat and BNN-UPC are looking for students wanting to work in the area of Graph Neural Networks studying their uses, processing architectures, and algorithms. To this end, the candidate will work on ONE of the following areas: - Investigating the state of the art on this area, surveying the different works done in terms of applications, processing frameworks, algorithms, benchmarks, datasets. This can be taken from a hardware or software perspective. - Helping to build a testbed formed by a cluster of GPUs that will be running pyTorch or Tensorflow. We will instrument the testbed to measure the computation workload and communication flows between GPUs. - Analyzing the communication workload of running a GNN either in the testbed or by means of architectural simulations. - Developing means of accelerating GNN processing in software (e.g., improving scheduling of the message passing) or hardware (e.g. designing a domain-specific architecture).

Information Technologies

Computing

OBJECTIUS: 1.Actualitzar el software i traduir-ho a un llenguatge més modern, si cal 2. Permetre la mesura de l'agudesa visual dinàmica amb diversos fons de pantalla 3. Permetre la mesura de l'agudesa visual dinàmica en tasques derivades del multi-object tracking (crowding) Per la realització d'aquest projecte oferim la versió DynVA (2014) amb les fonts i els càlculs i assessorament en el tema visual.

Computing

The student will have to implement different learning algorithms of Restricted Boltzmann Machine (RBM) neural networks using CUDA, and compare the performance against a standard CPU implementation.

Computing

The scope of this TFG project is to address the second part of the 16th Hilbert problem numerically and develop a parallel code that will run on a dedicated NVidia Titan V graphic card (15 TFLOPS float performance). The parallel code is to be written either directly in CUDA programming language either by using python or Julia frontends. There is a dedicated computer with two NVidia graphic cards that can be used for running the code.

Computing

The field of immersive analytics consists in providing visual analytics tools in a 3D (Virtual Reality) environment. The goal of the project is the implementation of visualization techniques in a VR setup.

Computing

The world economy is organized in complex multilayer networks of interactions, in which countries are connected with each other through different interactions, such as trade and financial investment. This networked substrate is the ultimate responsible for the propagation of economic shocks, such financial crisis or economic isolation due to the imposition of sanctions or trade tariffs. In this work, we will analyze the multiplex network reconstructed using yearly data of bilateral trade and financial positions between countries, available at the IMF.

Computing Information Systems Software Engineering Information Technologies

The main objective of this project is to build a full-stack web app capable of interacting with a Network Digital Twin (NDT) called RouteNet.

Computing

The goal of the project is to create an application that facilitates the segmentation of medical models using immersive techniques.

Computing

The goal of the project is the creation of an exploratory analysis tool for the inspection of gathered data regarding animal and vegetation detections in tropical forests.

Computer Engineering Information Technologies

This project aims to implement a LoRa mesh routing protocol in the Arduino Portant H7. It can re-use the concepts of our current LoRaMesher implementation for developing it in the Portenta H7, but alternatively can also consider start a new implmentation from scratch. The project involves embedded systems, microcontroller programming in C/C++, and an already designed LoRa mesh network protocols.

Computing

The scope of this TFG project is to address the second part of the 16th Hilbert problem numerically and develop a parallel code that will run on a dedicated NVidia Titan V graphic card (15 TFLOPS float performance). The parallel code is to be written either directly in CUDA programming language either by using python or Julia frontends. There is a dedicated computer with two NVidia graphic cards that can be used for running the code.

Computing

The objective of this project is to develop a tiny machine learning application for the Arduino Portenta H7.

Computing

The field of immersive analytics consists in providing visual analytics tools in a 3D (Virtual Reality) environment. The goal of the project is the implementation of visualization new techniques in a VR setup and evaluate how users use them using eye tracking.

Computing

Dotar als avatars que poblen un entorn virtual de complements que els donin un aspecte més realista.

Computer Engineering Computing Information Systems Software Engineering Information Technologies

Optimize parallel numerical applications for climate modelling to efficiently exploit large multi-core clusters

Computing

The objective of this project is to explore federated machine learning in TinyML.

Computing Information Technologies

UPC and Nestlé are offering a new position to develop the TFG in the field of Machine Learning and Cybersecurity. This TFG will be fully funded (internship) and carried out in collaboration with the Global Security Operations Center of Nestlé and UPC.

Software Engineering

El projecte haurà de, per una banda, d'afegir funcionalitats de control d'accés a l'aplicació, d'introducció i selecció de referències rellevants per a un projecte. Per altra banda, haurà de millorar l'eficiència en l'accés a les referències importades per un projecte i continuar millorant la usabilitat de l'eina.

Computing

El present projecte està orientat a la creació d'una eina docent que té com a finalitat ajudar els futurs estudiants de la FIB i d'altres centres on es cursi Física Quàntica i/o Mecànica Quàntica a la visualització i representació de funcions d'ona de sistemes quàntics (partícula confinada o pou infinit, oscil·lador harmònic, àtom d'hidrogen, etc.) així com al càlcul d'estats propis de l'energia en l'estat fonamental d'aquests sistemes.

Computing Information Systems Software Engineering Information Technologies

Web tracking technologies are extensively used to collect large amounts of personal information (PI), including the things we search, the sites we visit, the people we contact, or the products we buy. Although it is commonly believed that this data is mainly used for targeted advertising, some recent works revealed that it is exploited for many other purposes, such price discrimination, financial credibility, insurance coverage, government surveillance, background scanning or identity theft. The main objective of this project is to apply network traffic monitoring and analysis technologies to uncover the particular methods used to track Internet users and collect PI. This project will be useful for both Internet users and the research community, and will produce open source tools, real data sets, and publications revealing most privacy attempting practices. Some preliminary results of our work in this area were recently published in Proceedings of the IEEE (IF: 9.237) and featured in a Wall Street Journal article.

Computer Engineering Software Engineering Information Technologies

Dissey i desenvolupament de la capa de comunicació del model de programació COMPSs, per tal de millorar el seu rendiment en el seu desplegament amb diversos supercomputadors.

Computing Information Systems Software Engineering Information Technologies

Most EU citizens are concerned about online privacy. EPRIVO aims at building a European data-driven observatory that automatically looks for online services that do not respect our privacy rights.

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