Programa de Doctorat en Arquitectura de Computadors: Envíos recientes
Mostrando ítems 1-20 de 272
Algoritmos paralelos de descomposición en dominios para la resolución de sistemas lineales
(Español) En esta tesis se proponen precondicionadores paralelos para sistemas lineales provenientes de la discretización de EDPs. El primer precondicionador se basa en una factorización incompleta de la matriz del sistema, ...
Accelerating many-core, heterogeneous, and distributed architectures with hardware runtimes and programming models
(English) Due to increasing concern about energy efficiency and the current trend to scale out HPC systems to many computing nodes, this thesis tries to tackle both problems with the help of hardware acceleration and ...
Post-quantum cryptography acceleration for next generation computers
(English) The security of modern cryptographic schemes relies upon mathematical problems that are assumed to be hard to solve, like the Rivest-Shamir-Adleman (RSA) problem or the discrete logarithm problem over elliptic ...
Improving memory access efficiency for real-time rendering in tile-based GPU architectures
(English) Following the growing demands of applications mobile GPUs have greatly evolved in the past decade with expectations for continued advancement. These developments must address the rising performance demands and ...
Towards a safe and efficient OpenMP
(English) The growing complexity of contemporary multi-core and heterogeneous architectures necessitates parallel programming models capable of efficiently leveraging the available computational resources while ensuring ...
Network anomaly detection with graph neural networks
(English) Modern networks support critical applications with increasingly diverse, complex, and dynamic requirements. Ensuring their proper functioning is vital to maintaining the reliability and availability of these ...
Efficient data movement in large-scale heterogeneous systems
(English) Modern computer systems have become universally heterogeneous. Computer architects have addressed the slowdown of Moore’s Law and the end of Dennard scaling by incorporating a variety of cores, including multi-core ...
Simulation and modeling of C+L+S multiband optical transmission for the OCATA time domain digital twin
(English) This thesis focuses on implementing more robust control and management strategies such as those based on machine learning to enhance intelligence and drive towards autonomous operation is crucial for the future ...
New approaches for resource management and job scheduling for HEP grid computing
(English) The Large Hadron Collider (LHC) ALICE (A Large Ion Collider Experiment) experiment uses grid computing for its extensive data processing and analysis. The ALICE Grid is composed of 48 sites distributed globally, ...
Architecture-aware sparse patterns to accelerate inverse preconditioning
(English) This work focuses on improving the efficiency of iterative methods for solving large and sparse linear systems. These problems arise in many fields, including climate modeling, molecular and fluid dynamics, among ...
A federated learning approach to smart advertising
(English) This thesis presents a Federated Learning-based Smart Advertising System designed to enhance user engagement, optimize network efficiency, and ensure data privacy in digital advertising. Traditional advertising ...
Improving real-time guarantees of cache coherence and advanced interconnections in real-time systems
(English) The dissertation, research on enhancing timing predictability and performance for Critical Real-Time Embedded Systems (CRTES), focusing on Multi-Processor Systems on Chip (MPSoCs). CRTES are essential in critical ...
Applications of the OCATA optical layer digital twin
(English) Optical transport networks (OTNs) are a core infrastructure and key-enabler of today’s hyper-connected society as most of the Internet data traffic is transferred over optical fibers. Traffic demand is experiencing ...
Coordination of smart B5G radio access and autonomous optical transport networks
(English) Future radio access network (RAN) will operate with massive and heterogeneous small-cell deployments and end-to-end (e2e) connectivity in support of diverse beyond fifth-generation (B5G) use cases. More and more ...
Exploring genomic datasets through machine learning methods leveraging high-performance computing
(English) In recent years, the exponential increase of generated data has raised the need for implementing new methodologies to process the huge datasets being created. High-Performance Computing (HPC) brings together a ...
Network modeling using graph neural networks
(English) Network modeling is central to the field of computer networks. Models are useful in researching new protocols and mechanisms, allowing administrators to estimate their performance before their actual deployment ...
Modelado de la incertidumbre humana en la asignación de recursos para redes de comunicaciones
(English) This research addresses resource allocation in communication networks, with emphasis on the impact of human uncertainty on the performance of these networks, especially those using advanced technologies. The ...
A paradigm shift of HPC for geosciences: a novel HPC service model for geosciences applications
(English) The Oil and Gas (O&G) industry ranks prominently among the leading commercial users of powerful supercomputers worldwide, as indicated by global High-Performance Computing (HPC) ranking lists, such as TOP500 and ...
FPGA and ASIC accelerators for genome data analysis
(English) The continuous progress of Moore’s Law in improving single-threaded performance (execution time) through clock frequency and process node improvements has slowed down due to physical limitations in silicon ...
Bridging the gap between object stores and HPC
(English) Efficient data management is a fundamental aspect of application workflows, particularly in the context of High-Performance Computing environments. This thesis examines the potential of object stores as a robust ...
