2022/11/21 by Phillip Lane, Lane, Phillip Allen, Jessica Lobrano +1
Computer Science · #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Interconnection Networks and Systems #Parallel #Parallel Computing and Optimization Techniques #Performance (cs.PF) #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2211.11867
openalex publication_date 2022/11/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
With the rapid growth of AMD as a competitor in the CPU industry, it is imperative that high-performance and architectural engineers analyze new AMD CPUs. By understanding new and unfamiliar architectures, engineers are able to adapt their algorithms to fully utilize new hardware. Furthermore, engineers are able to anticipate the limitations of an architecture and determine when an alternate platform is desirable for a particular workload. This paper presents results which show that the AMD "Rome" architecture performance suffers once an application's memory bandwidth exceeds 37.5 GiB/s for integer-heavy applications, or 100 GiB/s for floating-point-heavy workloads. Strong positive correlations between memory bandwidth and CPI are presented, as well as strong positive correlations between increased memory load and time-to-completion of benchmarks from the SPEC CPU2017 benchmark suites.