Exploració per autor "Utrera Iglesias, Gladys Miriam"
Ara es mostren els items 1-11 de 11
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A differential privacy protection-based federated deep learning framework to fog-embedded architectures
(Elsevier, 2024-04)
Article
Accés obertNowadays, companies collect massive quantities of data to enhance their operations, often at the expense of sharing user sensible information. This data is widely used to train Deep Learning (DL) neural networks to model, ... -
A methodology approach to compare performance of parallel programming models for shared-memory architectures
(Springer, 2020)
Capítol de llibre
Accés obertThe majority of current HPC applications are composed of complex and irregular data structures that involve techniques such as linear algebra, graph algorithms, and resource management, for which new platforms with varying ... -
Analyzing the impact of communication imbalance in high-speed networks
(2017-12-21)
Article
Accés obertIn this work we analyze the communication load imbalance generated by irregular-data applications running in a multi-node cluster. Experimental approaches to diminish communication load imbalance are evaluated using a ... -
Analyzing the performance of hierarchical collective algorithms on ARM-based multicore clusters
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Comunicació de congrés
Accés obertMPI is the de facto communication standard library for parallel applications in distributed memory architectures. Collective operations performance is critical in HPC applications as they can become the bottleneck of their ... -
Examen Final
(Universitat Politècnica de Catalunya, 2013-01-18)
Examen
Accés restringit a la comunitat UPC -
Mapping parallel loops on multicore systems
(2010)
Text en actes de congrés
Accés obertThe compute nodes in contemporary HPC systems contain one or more multicore processors. As a result, these nodes constitute a shared-memory multiprocessor, often combining CMP and SMT concurrency technologies. This ... -
Noise inspector tool
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertThe operating system noise can interfere with normal execution programs. This behavior is becoming especially important when scaling parallel programs and amplified with global synchronizations. This work presents a tool ... -
OpenCAL++: An object-oriented architecture for transparent parallel execution of cellular automata models
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertCellular Automata (CA) models, initially studied by John von Neumann, have been developed by numerous researchers and applied in both academic and scientific fields. Thanks to their local and independent rules, simulations ... -
Tareador: a tool to unveil parallelization strategies at undergraduate level
(North Carolina State University, 2015)
Text en actes de congrés
Accés obertThis paper presents a methodology and framework designed to assist students in the process of finding appropriate task decomposition strategies for their sequential program, as well as identifying bottlenecks ... -
Task Packing: Efficient task scheduling in unbalanced parallel programs to maximize CPU utilization
(Elsevier, 2019-12)
Article
Accés obertLoad imbalance in parallel systems can be generated by external factors to the currently running applications like operating system noise or the underlying hardware like a heterogeneous cluster. HPC applications working ... -
"Virtual malleability" applied to MPI jobs to improve their execution in a multiprogrammed environment"
(Universitat Politècnica de Catalunya, 2007-12-10)
Tesi
Accés obertThis work focuses on scheduling of MPI jobs when executing in shared-memory multiprocessors (SMPs). <br/>The objective was to obtain the best performance in response time in multiprogrammed multiprocessors systems using ...
