Workshop: PMBS22: The 13th International Workshop on Performance Modeling, Benchmarking, and Simulation of High-Performance Computer Systems
Authors: Ichitaro Yamazaki, Sivasankaran Rajamanickam, Jennifer Loe, and Christian Glusa (Sandia National Laboratories); Jack Dongarra (University of Tennessee (retired)); and Piotr Luszczek (University of Tennessee)
Abstract: We propose a new benchmark for ranking high-performance (HP) computers. The new benchmark is designed to rank the computers based on how fast they can solve a sparse linear system of equations, exhibiting computational and communication requirements typical in many scientific applications. The main novelty of the new benchmark is that it provides the flexibility to utilize lower precision arithmetic. This is motivated by the observations that some new hardware architectures deliver lower-precision arithmetic at higher performance. There are other machines that do not follow this trend. However, using a lower-precision arithmetic reduces the required amount of data transfer, which alone could improve the solver performance. We present our initial design of the new benchmark, and its reference implementation and performance on different architectures. We also discuss challenges of designing such a benchmark.