Institutions supporting HPC applications are finding increased demand for heterogeneous infrastructures to support simulation and modeling, machine learning, high performance data analytics, collaborative computing and analytics, and data federation. …
Digitally prototyping complex designs, such as large physical structures, biological features, and micro-electromechanical systems (MEMS) requires supercomputers running sophisticated multiphysics solvers. …
The drive toward exascale computing is giving researchers the largest HPC systems ever built, yet key bottlenecks persist: More memory to accommodate larger datasets, persistent memory for storing data on the memory bus instead of drives, and the lowest power consumption possible. …
With 5.4 petaflops of peak performance crammed into 760 compute nodes, that is a lot of computing capability in a small space generating a considerable amount of heat. …
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