activity
20242026
most citedEvaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

Measuring Sustainability in Multi-Scale High-Performance Computing

Carlos J Barrios, Frédéric Le Mouël, Yves Denneulin

The transition from traditional High Performance Computing (HPC) to the Computing Continuum emphasizes efficient resource management and sustainable practices across Multi-Scale hy…

cs.DC2025

Analysis of the carbon footprint of HPC

Abdessalam Benhari, Yves Denneulin, Frédéric Desprez +2

The demand in computing power has never stopped growing over the years. Today, the performance of the most powerful systems exceeds the exascale. Unfortunately, this growth also co…

cs.DC2025

Bridding OT and PaaS in Edge-to-Cloud Continuum

Carlos J Barrios, Yves Denneulin

The Operational Technology Platform as a Service (OTPaaS) initiative provides a structured framework for the efficient management and storage of data. It ensures excellent response…

cs.DC2024★ 1 cited

Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL

L. A. Torres, Carlos J. Barrios H, Yves Denneulin

Matrix multiplication is fundamental in the backpropagation algorithm used to train deep neural network models. Libraries like Intel's MKL or NVIDIA's cuBLAS implemented new and op…

cs.CY2024

Green HPC: An analysis of the domain based on Top500

Abdessalam Benhari, Denis Trystram, Fanny Dufossé +2

The demand in computing power has never stopped growing over the years. Today, the performance of the most powerful systems exceeds the exascale and the number of petascale systems…