New paper on predicting HPC job behavior

The joint paper “An Exploratory Study of Deep Learning for Predicting Computational Tasks Behavior in HPC Systems” (https://www.computer.org/csdl/proceedings-article/sbac-padw/2023/816000a009/1RVZt2fyTjG) was presented in the HPC/DL workshop during the SBAC-PAD conference in October 2023, in Porto Alegre, Brazil.The paper explores the use of machine learning techniques (including regression and neural networks) to predict…

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New results about the I/O performance of the MHM library

During summer 2022, a second Inria internship (under the supervision of Francieli Boito, Antônio Tadeu Gomes and Luan Teylo) was dedicated to studying and improving the performance of the MHM library for HPC multiscale finite element simulations, developed at the LNCC. Louis Peyrondet, then a student from the University of…

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New publication about the I/O performance of RNA-Seq scientific workflows

Work in the context of this joint team was recently published, in 2022, in the Computatión y Sistemas open-access peer-reviewed journal. The full paper is available here. Parallel Performance and I/O Profiling of HPC RNA-Seq Applications Lucas Cruz, Micaella Coelho, Marcelo Galheigo, Andre Carneiro, Diego Carvalho, Luiz Gadelha, Francieli Boito,…

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