Skip to Main content Skip to Navigation
Reports

Memory Access Characterization of OpenMP Workloads on a Multi-core NUMA Machine

Abstract : Nowadays, on hierarchical shared memory multiprocessors with Non-Uniform Memory Access (NUMA), the number of cores accessing memory banks is considerably high. Such accesses produce more stress on the memory banks, generating load-balancing issues, memory contention and remote accesses. In this context, it is important to have a good understanding of memory access patterns and what are the inuences of data placement on such patterns. In this document, we have investigated memory accesses behavior of microbenchmarks and benchmarks over a ccNUMA platform with multi-core processors. Additionally, we have evaluated a set of memory policies that were used to place data among the machine memory banks. Our results have shown that an appropriate selection of data placement, considering the memory accesses, can generated great improvement gains.
Complete list of metadatas

https://hal.inria.fr/inria-00497116
Contributor : Christiane Pousa Ribeiro <>
Submitted on : Friday, July 2, 2010 - 2:39:40 PM
Last modification on : Friday, July 17, 2020 - 11:10:23 AM
Long-term archiving on: : Thursday, June 30, 2011 - 1:09:08 PM

File

RR-XX.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00497116, version 1

Citation

Christiane Pousa Ribeiro, Alexandre Carissimi, Jean-François Méhaut. Memory Access Characterization of OpenMP Workloads on a Multi-core NUMA Machine. [Research Report] 2010. ⟨inria-00497116v1⟩

Share

Metrics

Record views

14

Files downloads

194