The TOP500 list has incorporated the High-Performance Conjugate Gradient (HPCG) Benchmark results, which provides an alternative metric for assessing supercomputer performance and is meant to complement the HPL measurement.
The list-leading Fugaku expanded its HPCG result with a record 16.0 HPCG-petaflops. The two US Department of Energy systems, Summit at ORNL and Sierra at LLNL, are second and third, respectively, on the HPCG benchmark. Summit achieved 2.93 HPCG-petaflops and Sierra 1.80 HPCG-petaflops. The only other systems to break the petaflops barrier on HPCG are the upgraded Selene system at 1.62 petaflops and the new JUWELS Booster Module at 1.28 petaflops.
The HPL-AI benchmark seeks to highlight the convergence of HPC and artificial intelligence (AI) workloads based on machine learning and deep learning by solving a system of linear equations using novel, mixed-precision algorithms that exploit modern hardware.
The top-ranked system for this benchmark is RIKEN’s Fugaku system, which achieved 2.0 exaflops of mixed precision computation. At number two is ORNL’s Summit supercomputer, which achieved 0.55 exaflops, followed by NVIDIA’s Selene which turned in an HPL-AI result of 0.25 exaflops.