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Distributed and heterogeneous tensor–vector contraction algorithms for high performance computing
(Elsevier, 2025-05-01)
Article
Restricted access - publisher's policyThe tensor–vector contraction (TVC) is the most memory-bound operation of its class and a core component of the higher-order power method (HOPM). This paper brings distributed-memory parallelization to a native TVC algorithm ... -
Evaluation of work distribution schedulers for heterogeneous architectures and scientific applications
(Frontiers Media SA, 2024-12-10)
Article
Open AccessThis article explores and evaluates variants of state-of-the-art work distribution schemes adapted for scientific applications running on hybrid systems. A hybrid implementation (multi-GPU and multi-CPU) of the NASA Parallel ... -
Mixed-precision pre-pivoting strategy for the LU factorization
(2025)
Article
Open AccessThis paper investigates the efficient application of half-precision floating-point (FP16) arithmetic on GPUs for boosting LU decompositions in double (FP64) precision. Addressing the motivation to enhance computational ... -
Enhancing Kokkos with OpenACC
(SAGE publishing, 2024-06-13)
Article
Open AccessC++ template metaprogramming has emerged as a prominent approach for achieving performance portability in heterogeneous computing. Kokkos represents a notable paradigm in this domain, offering programmers a suite of ... -
Geothermal resources in Latin-America and their exploration using electromagnetic methods
(Springer, 2024-09-28)
Article
Open AccessThe global priority for sustainable societies drives the transition to green energy, with geothermal power as a promising alternative. Latin-American countries beneft from the active volcanism along the Pacifc Rim, which ... -
Electromagnetic subsurface imaging in the presence of metallic structures: a review of numerical strategies
(2024-08-28)
Article
Open AccessElectromagnetic (EM) imaging aims to produce large-scale, high-resolution soil conductivity maps that provide essential information for Earth subsurface exploration. To rigorously generate EM subsurface models, one must ... -
Automated parallel execution of distributed task graphs with FPGA clusters
(Elsevier, 2024-11)
Article
Open AccessOver the years, Field Programmable Gate Arrays (FPGA) have been gaining popularity in the High Performance Computing (HPC) field, because their reconfigurability enables very fine-grained optimizations with low energy cost. ... -
The computational and energy cost of simulation and storage for climate science: lessons from CMIP6
(European Geosciences Union (EGU), 2024-04-19)
Article
Open AccessThe Coupled Model Intercomparison Project (CMIP) is one of the biggest international efforts aimed at better understanding the past, present, and future of climate changes in a multi-model context. A total of 21 model ... -
Parallel algorithm for discovering and comparing three-dimensional proteins patterns
(Institute of Electrical and Electronics Engineers (IEEE), 2024-05)
Article
Open AccessIdentifying conserved (similar) three-dimensional patterns among a set of proteins can be helpful for the rational design of polypharmacological drugs. Some available tools allow this identification from a limited perspective, ... -
Supercomputación: empoderando la ciencia para cambiar el mundo
(Universidad Veracruzana, 2024-05)
Article
Open AccessEsta disciplina está revolucionando nuestro planeta y brindando soluciones innovadoras a problemáticas sociales urgentes como la energía, el cambio climático, la medicina personalizada y la gestión de riesgos. -
La era cuántica: el futuro de la computación
(Universidad Veracruzana, 2024-05)
Article
Open AccessEn la actualidad, inmersos en una era digital en constante evolución, el cómputo cuántico emerge como una prometedora frontera tecnológica capaz de revolucionar la forma de realizar cálculos y resolver problemas complejos -
Assessing Saiph, a task-based DSL for high-performance computational fluid dynamics
(Elsevier, 2023-10)
Article
Restricted access - publisher's policyScientific applications face the challenge of efficiently exploiting increasingly complex parallel and distributed systems. Developing hand-tuned codes is a time-consuming, tedious and hardly reusable task. Reaching high ...