Litcius/Paper detail

First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites

Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, Junjie Li, Verónica Melesse Vergara, Sandra Wienke, Miguel Zavala

20222022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)19 citationsDOI

Abstract

Modern High Performance Computing (HPC) sys-tems are built with innovative system architectures and novel programming models to further push the speed limit of computing. The increased complexity poses challenges for performance portability and performance evaluation. The Standard Perfor-mance Evaluation Corporation (SPEC) has a long history of producing industry-standard benchmarks for modern computer systems. SPEC's newly released SPEChpc 2021 benchmark suites, developed by the High Performance Group, are a bold attempt to provide a fair and objective benchmarking tool designed for state-of-the-art HPC systems. With the support of multiple host and accelerator programming models, the suites are portable across both homogeneous and heterogeneous architectures. Different workloads are developed to fit system sizes ranging from a few compute nodes to a few hundred compute nodes. In this work we present our first experiences in performance benchmarking the new SPEChpc2021 suites and evaluate their portability and basic performance characteristics on various popular and emerging HPC architectures, including x86 CPU, NVIDIA GPU, and AMD GPU. This study provides a first-hand experience of executing the SPEChpc 2021 suites at scale on production HPC systems, discusses real-world use cases, and serves as an initial guideline for using the benchmark suites.

Topics & Concepts

BenchmarkingSoftware portabilityBenchmark (surveying)Computer sciencex86Spec#SupercomputerOperating systemComputer architectureProgramming paradigmPerformance improvementEmbedded systemSoftwareProgramming languageEngineeringGeodesyBusinessGeographyMarketingOperations managementParallel Computing and Optimization TechniquesCloud Computing and Resource ManagementAdvanced Data Storage Technologies