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Popular pages
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JLESC — Joint Laboratory on Extreme Scale Computing
The Joint Laboratory for Extreme Scale Computing includes researchers from the French National Institute for Research in Computer Science and Control (INRIA), the University of Illinois at Urbana-Cham...
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JLESC — Deep Neural Networks for CFD Simulations
Research topic and goals Simulation-based optimization in engineering requires high computational power and may benefit from system heterogeneity. Highly scalable CFD solvers have been developed at R-...
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JLESC — About
About The University of Illinois at Urbana-Champaign, INRIA, the French national computer science institute, Argonne National Laboratory, Barcelona Supercomputing Center, Jülich Supercomputing Centre ...
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JLESC — Software
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JLESC — nekRS and Ginkgo - Towards Exascale CFD
Research topic and goals JSC will be the hosting side of the first European Exascale supercomputer (JUPITER) that is going to become available in 2024. While both CPU-heavy and GPU-heavy Petascale sup...
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JLESC — Iterative and direct parallel linear solvers in a hybrid MPI/OpenMP high performance
Abstract Pichon, G., M. Faverge, P. Ramet, and J. Roman. 2017. “Reordering Strategy for Blocking Optimization in Sparse Linear Solvers.” SIAM Journal on Matrix Analysis and Applicatio...