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GPU based workloads are only a part of the solution. Many workloads are still CPU only. Density becomes increasingly important as cluster size grows. This building block focuses on density. We tested four specific applications: HPL, HPCG, STREAM, and OSU.
High Performance Linpack (HPL) is a classic HPC benchmark used to measure system size and performance for many years (TOP500). The benchmark performs a LU factorization on a large matrix.
High Performance Conjugate Gradients (HPCG) is designed to complement HPL with data access and compute patterns that more closely match current workloads in HPC.
STREAM measures sustained memory bandwidth with four different kernels: Copy, Scale, Add, and Triad. Triad is the most frequently requested of these four kernels.
OSU Micro-Benchmarks are a suite of network benchmarks that can test many aspects of the network performance such as latency, bandwidth, message rate for point-to-point tests and collectives.