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Computación

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

Ingeniería de Computadores Computación Tecnologías de la información

Quantum computers promise exponential improvements over conventional ones due to the extraordinary properties of qubits. However, quantum computing faces many challenges relative to the scaling of the algorithms and of the computers that run them. This thesis delves into these challenges and proposes solutions to create scalable quantum computing systems.

Computación Tecnologías de la información

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.

Computación

We offer TFG positions at the Barcelona Supercomputing Center (BSC) in a join collaboration between BSC and UPC, in the context of the EU project SAFEXPLAIN (https://safexplain.eu/). The goal of the TFG is assessing existing solutions to measure whether training and validation data used for DL models provide sufficient coverage against relevant or expert-designed features (e.g., object characteristics, weather conditions) in the context of autonomous driving. Students will receive a grant, and will be invited to follow up during their master with a grant.

Ingeniería de Computadores Computación Sistemas de Información Tecnologías de la información

Artificial Intelligence (AI) software is indisputable the key competitive advantage in every new computing system embedded in cars, planes, trains, and the like, providing a reach set of functionalities. AI-software in those systems must perform real-time processing of a massive amount of data coming from sensors like cameras and LiDARs. This requires the use of complex MPSoCs (Multi-Processor System on Chip) as main computing platform. However, software's execution time when running on MPSoCs is hard to model accurately due to its complexity encompassing high-performance

Ingeniería de Computadores Computación Sistemas de Información Tecnologías de la información

Processor design is being democratized these days and even small companies and research centers can design and fabricate their test chips. This transition from a proprietary-only approach controlled by Intel, AMD, Arm, etc. to an open and collaborative environment, has been fostered by the emergence of the open RISC-V Instruction Set Architecture (ISA). Oppositely to x86 and ARM Instruction Set Architectures (ISAs), RISC-V emerges as an open source alternative attracting high attention from industry worldwide, but particularly European safety-relevant industry (automotive,

Ingeniería de Computadores Computación Sistemas de Información Tecnologías de la información

Computing systems are ubiquitous in our daily life, to the point that progress is intimately tied to the improvements brought by new generations of the processors that lie at the heart of these systems. A common trait of current computing systems is that their internal data communication has become a fundamental bottleneck and traditional interconnects are just not good enough. This thesis aims to study how we can speed up architectures with CPUs, GPUs, and ML accelerators thanks to unconventional (e.g. wireless) interconnects.

Ingeniería de Computadores Computación Ingeniería del Software

This thesis aims to explore the possibilities of the new and less studied variant of neural networks called Graph Neural Networks (GNNs). While convolutional networks are good for computer vision or recurrent networks are good for temporal analysis, GNNs are able to learn and model graph-structured relational data, with huge implications in fields such as quantum chemistry, computer networks, or social networks among others.

Ingeniería de Computadores Sistemas de Información Tecnologías de la información

Recent advancements in nanotechnology have enabled the concept of the "Human Intranet", where devices inside and on our body can sense and communicate, opening the door to multiple exciting applications in the healthcare domain. This thesis aims to delve into the computing, communication, and localization aspects of the "Human Intranet" and how to practically realize them in the next decade.

Computación

Els models del llenguatge de gran abast han provat la seva efectivitat sobre la tasca de reconeixer mencions d'entitats que ocorren en text escrit estàndar. Tanmateix, aquesta efectivitat baixa quan tractem de reconeixer mencions d'entitats sobre text no estándar, com ara les transcripcions orals. L'objectiu d'aquest projecte és entrenar diferents models del llenguatge per aquesta tasca, comparar la seva efectivitat i analitzar els tipus d'errors comesos.

Ingeniería del Software

This TFG aims to significantly improve the capabilities of PETGEM, an open-source 3D electromagnetic modeler primarily written in Python, by integrating new features, and supporting object-oriented programming principles. This project is undertaken in collaboration with the Wave Phenomena Group of the Barcelona Supercomputing Center and the Programming Models Group of the Universitat Politecnica de Catalunya, adding a significant real-world context to the research.

Ingeniería de Computadores

Donada l'empenta que té l'arquitectura RISC-V, volem portar el sistema operatiu docent ZeOS a aquesta arquitectura.

Computación Ingeniería del Software

The main objective of this work is to develop a mockup that emulates the PETGEM workflow while harnessing the capabilities of PETSc for finite element computations and data management tasks. This development aims to provide fundamental insights into the interoperability and portability of PETGEM by enabling the framework to utilize PETSc's interfaces for various common mesh formats and eliminating legacy dependencies.

Computación

The central objective is to create a seamless integration between PETGEM and Jupyter, allowing for a more interactive and accessible environment for academic and research endeavors. By incorporating Jupyter kernels, we aim to provide users with a versatile platform that combines code execution, visualizations, and explanatory text. This integration not only streamlines the use of PETGEM but also facilitates collaborative and reproducible workflows, aligning with contemporary trends in computational research and education.

Computación

This is an offer for a TFG. We are working to accelerate homomorphically-encrypted deep learning inference via different efforts, in this case GPU accelerators. Previous cryptography experience is not required, since there will be an expert in the team advising on those matters. The successful candidate will be integrated into an international team working toward this purpose on different topics.

Ingeniería de Computadores

In this TFG, we are looking for students interested in working in the area of timing and performance modeling of AI-Based autonomous driving (AD) systems. In particular, the goal of the TFG is to understand and model the diverse timing constraints that are involved in the execution of representative autonomous driving function on top of state-of-the-art automotive middleware framework (e.g. ROS2, CyberRT, Autoware). More in detail, we aim at developing a systematic approach for intercepting and react to timing issues within and across nodes in a functional chain. The appr

Computación

The main objective of this work is to investigate and implement efficient strategies for the parallel construction of sparse matrices derived from FE analysis within the PETGEM workflow. This development aims to provide fundamental insights into the interoperability and portability of PETGEM by enabling the framework to utilize exascale HPC architectures.

Ingeniería de Computadores Computación

Adaptation of state-of-the-art AI models for native integration into desktop applications. The performance and suitability of different frameworks (Pytorch C++, GGML, TensorRT, ONNX Runtime, etc.) will be evaluated with respect to different platforms (Windows and macOS) and hardware resources (CPU, NVIDIA GPUs, Apple Silicon).

Ingeniería de Computadores Tecnologías de la información

Ada and its safety critical SPARK subset are widely used in the development of high assurance systems. Compared to C, Ada SPARK has built in support for parallelism and real-time systems, which facilitates the development of high performance safety critical systems. In this TFG, we will port Ada's runtime to RISC-V based platforms used in safety critical systems, such as the ones used in aerospace and in automotive systems.

Computación Ingeniería del Software

Development of a desktop application in C++ that enables users to leverage the latest advances in Computer Vision and Generative AI to facilitate the creation and editing of 2D animations.

Ingeniería de Computadores Computación

Modern Safety Critical Systems such as avionics and automotive systems employ graphics solutions written in safety critical graphics APIs such as OpenGL SC 2.0, accelerated with graphics processing units (GPUs). The purpose of this thesis is to design and evaluate a graphics system in using OpenGL SC 2.0 and evaluate it on an avionics grade GPU.

Ingeniería de Computadores Computación Sistemas de Información Ingeniería del Software Tecnologías de la información

The last decade has witnessed a sudden breakthrough of Artificial Intelligence (AI) in the Automotive market. AI solutions have been increasingly deployed to provide advanced driving assistance solutions or even enable autonomous operation. Pedestrian detection, unintentional lane crossing monitoring, and Tesla AutoPilot are just few examples of this trend. In this TFG we will work in the area of performance modeling and schedule optimization for AI-Based autonomous driving (AD) systems, to analyze the execution of autonomous driving functions.

Consulta ofertas de otros estudios y especialidades