Visualitzant Programa de Doctorat en Arquitectura de Computadors per títol
Ara mostrant els elements 1-20 de 272
A double full-stack architecture for multi-core quantum computers
Rodrigo Muñoz, Santiago (Data de defensa: 2023-12-18)
(English) Despite its tremendous potential, it is still unclear how quantum computing will scale to satisfy the requirements of its most powerful applications. Continued progress in the fabrication and control of qubits ...
A federated learning approach to smart advertising
Seyghaly, Rasool (Data de defensa: 2025-06-12)
(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 ...
A highly efficient time-series database approach for monitoring infrastructures
García Calatrava, Carlos (Data de defensa: 2022-12-12)
(English) The rising interest in extracting value from data has led to a broad proliferation of monitoring infrastructures, most notably composed by sensors, intended to collect this new oil. Thus, gathering data has become ...
A Multi-core processor for hard real-time systems
Paolieri, Marco (Data de defensa: 2011-11-04)
The increasing demand for new functionalities in current and future hard real-time embedded systems, like the ones deployed in automotive and avionics industries, is driving an increment in the performance required in ...
A novel access pattern-based multi-core memory architecture
Hussain, Tassadaq (Data de defensa: 2014-12-18)
Increasingly High-Performance Computing (HPC) applications run on heterogeneous multi-core platforms. The basic reason of the growing popularity of these architectures is their low power consumption, and high throughput ...
A novel approach to web tracking detection and removal with minimal functionality loss
Castell Uroz, Ismael (Data de defensa: 2023-07-06)
(English) echnologies are extensively used to collect huge amounts of personal information from our online activity, including the things we search for, the sites we visit, the people we contact, or the products we buy. ...
A paradigm shift of HPC for geosciences: a novel HPC service model for geosciences applications
Albuquerque Portella, Felipe (Data de defensa: 2024-06-06)
(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 ...
A pragmatic approach toward securing inter-domain routing
Siddiqui, Muhammad Shuaib (Data de defensa: 2014-12-19)
Internet security poses complex challenges at different levels, where even the basic requirement of availability of Internet connectivity becomes a conundrum sometimes. Recent Internet service disruption events have made ...
Accelerating many-core, heterogeneous, and distributed architectures with hardware runtimes and programming models
De Haro Ruiz, Juan Miguel (Data de defensa: 2025-09-10)
(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 ...
Acceleration of automatic speech recognition for low-power devices
Pinto Rivero, Dennis (Data de defensa: 2022-11-09)
(English) In this thesis, we study the challenges preventing ASR deployment on edge devices and propose innovations to tackle them, hopefully moving the technology a step forward to the future. First, we characterize ...
Adaptable register file organization for vector processors
Ramírez Lazo, Cristóbal (Data de defensa: 2022-04-04)
Today there are two main vector processors design trends. On the one hand, we have vector processors designed for long vectors lengths such as the SX-Aurora TSUBASA which implements vector lengths of 256 elements (16384-bits). ...
Adapting floating-point precision to accelerate deep neural network training
Osorio Ríos, John Haiber (Data de defensa: 2023-10-18)
(English) Deep Neural Networks (DNNs) have become ubiquitous in a wide range of application domains. Despite their success, training DNNs is an expensive task which has motivated the use of reduced numerical precision ...
Adaptive learning-based resource management strategy in fog-to-cloud
Sengupta, Souvik (Data de defensa: 2020-10-20)
Technology in the twenty-first century is rapidly developing and driving us into a new smart computing world, and emerging lots of new computing architectures. Fog-to-Cloud (F2C) is among one of them, which emerges to ...
Adaptive memory hierarchies for next generation tiled microarchitectures
Herrero Abellanas, Enric (Data de defensa: 2011-07-05)
Les últimes dècades el rendiment dels processadors i de les memòries ha millorat a diferent ritme, limitant el rendiment dels processadors i creant el conegut memory gap. Sol·lucionar aquesta diferència de rendiment és un ...
Addressing practical challenges for anomaly detection in backbone networks
Paredes Oliva, Ignasi (Data de defensa: 2013-07-29)
Network monitoring has always been a topic of foremost importance for both network operators and researchers for multiple reasons ranging from anomaly detection to tra c classi cation or capacity planning. Nowadays, as ...
Advanced analytics through FPGA based query processing and deep reinforcement learning
Malazgirt, Gorker Alp (Data de defensa: 2019-02-12)
Today, vast streams of structured and unstructured data have been incorporated in databases, and analytical processes are applied to discover patterns, correlations, trends and other useful relationships that help to take ...
Advanced hardware prefetching in virtual memory systems
Vavouliotis, Georgios (Data de defensa: 2023-09-12)
(English) Despite groundbreaking technological innovations, the disparity between processor and memory speeds (known as Memory Wall) is still a major performance obstacle for modern systems. Hardware prefetching is a ...
Advancing the state of the art of directive-based programming for GPUs: runtime and compilation
Matsumura, Kazuaki (Data de defensa: 2024-05-02)
(English) The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts ...
Aggressive undervolting of FPGAs : power & reliability trade-offs
Salami, Behzad (Data de defensa: 2018-11-19)
In this work, we evaluate aggressive undervolting, i.e., voltage underscaling below the nominal level to reduce the energy consumption of Field Programmable Gate Arrays (FPGAs). Usually, voltage guardbands are added by ...
Algoritmos paralelos de descomposición en dominios para la resolución de sistemas lineales
Cela Espín, José M. (Data de defensa: 1996-01-01)
(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, ...


