Sphinx
Sphinx, an integrated parallel microbenchmark suite, consists of a harness for running performance tests and extensive tests of MPI, Pthreads and OpenMP.
Apollo
Apollo, an auto-tuning extension of RAJA, improves performance portability in adaptive mesh refinement, multi-physics, and hydrodynamics codes via machine learning classifiers.
Cluster Management Tools
Large Linux data centers require flexible system management. At Livermore Computing, we are committed to supporting our Linux ecosystem at the high end of commodity computing.
Investigation of disaggregated memory systems wins poster award
Splitting memory resources in high performance computing between local nodes and a larger shared remote pool can help better support diverse applications.
LLNL’s Diachin takes helm of DOE’s Exascale Computing Project
Lori Diachin will take over as director of the DOE’s Exascale Computing Project on June 1, guiding the successful, multi-institutional high performance computing effort through its final stages.
Podcast: Siting the El Capitan exascale supercomputer
Livermore CTO Bronis de Supinski joins the Let's Talk Exascale podcast to discuss the details of LLNL's upcoming exascale supercomputer.