Software controlled reconfigurable on-chip memory for high performance computing

Hiroshi Nakamura, Masaaki Kondo, Taisuke Boku

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

4 Citations (Scopus)


The performance gap between processor and memory is very serious problem in high performance computing because effective performance is limited by memory ability. In order to overcome this problem, we propose a new VLSI architecture called SCIMA which integrates software controllable memory into a processor chip in addition to ordinary data cache. Most of data access is regular in high performance computing. Software controllable memory is better at making good use of the regularity than conventional cache. This paper presents its architecture and performance evaluation. In SCIMA, the ratio of software controllable memory and cache can be dynamically changed. Due to this feature, SCIMA is upper compatible with conventional memory architecture. Performance is evaluated by using CG and FT kernels of NPB Benchmark and a real application of QCD (Quantum ChromoDynamics). The evaluation results reveal that SCIMA is superior to conventional cache-based architecture. It is also revealed that the superiority of SCIMA increases when access latency of off-chip memory increases or its relative throughput gets lower.

Original languageEnglish
Title of host publicationIntelligent Memory Systems - 2nd International Workshop, IMS 2000, Revised Papers
EditorsFrederic T. Chong, Mark Oskin, Christoforos Kozyrakis
PublisherSpringer Verlag
Number of pages18
ISBN (Print)3540424067, 9783540423287
Publication statusPublished - 2001
Externally publishedYes
Event2nd International Workshop on Intelligent Memory Systems, IMS 2000 - Cambridge, United States
Duration: 2000 Nov 122000 Nov 12

Publication series

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


Conference2nd International Workshop on Intelligent Memory Systems, IMS 2000
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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