Remote store programming: A memory model for embedded multicore

Henry Hoffmann, David Wentzlaff, Anant Agarwal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

This paper presents remote store programming (RSP), a programming paradigm which combines usability and efficiency through the exploitation of a simple hardware mechanism, the remote store, which can easily be added to existing multicores. The RSP model and its hardware implementation trade a relatively high store latency for a low load latency because loads are more common than stores, and it is easier to tolerate store latency than load latency. This paper demonstrates the performance advantages of remote store programming by comparing it to cache-coherent shared memory (CCSM) for several important embedded benchmarks using the TILEPro64 processor. RSP is shown to be faster than CCSM for all eight benchmarks using 64 cores. For five of the eight benchmarks, RSP is shown to be more than 1.5 × faster than CCSM. For a 2D FFT implemented on 64 cores, RSP is over 3 × faster than CCSM. RSP's features, performance, and hardware simplicity make it well suited to the embedded processing domain.

Original languageEnglish (US)
Title of host publicationHigh Performance Embedded Architectures and Compilers - 5th International Conference, HiPEAC 2010, Proceedings
Pages3-17
Number of pages15
DOIs
StatePublished - 2010
Event5th International Conference on High Performance Embedded Architectures and Compilers, HiPEAC 2010 - Pisa, Italy
Duration: Jan 25 2010Jan 27 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5952 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on High Performance Embedded Architectures and Compilers, HiPEAC 2010
CountryItaly
CityPisa
Period1/25/101/27/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Hoffmann, H., Wentzlaff, D., & Agarwal, A. (2010). Remote store programming: A memory model for embedded multicore. In High Performance Embedded Architectures and Compilers - 5th International Conference, HiPEAC 2010, Proceedings (pp. 3-17). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5952 LNCS). https://doi.org/10.1007/978-3-642-11515-8_3