• DocumentCode
    1415098
  • Title

    Scalable processors in the billion-transistor era: IRAM

  • Author

    Kozyrakis, Christoforos E. ; Perissakis, Stylianos ; Patterson, David ; Anderson, Thomas ; Asanovic, Krste ; Cardwell, Neal ; Fromm, Richard ; Golbus, Jason ; Gribstad, Benjamin ; Keeton, Kimberly ; Thomas, Randi ; Treuhaft, Noah ; Yelick, Katherine

  • Author_Institution
    California Univ., Berkeley, CA, USA
  • Volume
    30
  • Issue
    9
  • fYear
    1997
  • fDate
    9/1/1997 12:00:00 AM
  • Firstpage
    75
  • Lastpage
    78
  • Abstract
    Members of the University of California, Berkeley, argue that the memory system will be the greatest inhibitor of performance gains in future architectures. Thus, they propose the intelligent RAM or IRAM. This approach greatly increases the on-chip memory capacity by using DRAM technology instead of much less dense SRAM memory cells. The resultant on-chip memory capacity coupled with the high bandwidths available on chip should allow cost-effective vector processors to reach performance levels much higher than those of traditional architectures. Although vector processors require explicit compilation, the authors claim that vector compilation technology is mature (having been used for decades in supercomputers), and furthermore, that future workloads will contain more heavily vectorizable components
  • Keywords
    memory architecture; reconfigurable architectures; vector processor systems; IRAM; future architectures; intelligent RAM; on-chip memory; scalable processors; vector compilation; vector processors; Bandwidth; Bridges; Computer architecture; Delay; Fabrication; Microprocessor chips; Out of order; Random access memory; Read-write memory; VLIW;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/2.612252
  • Filename
    612252