SLIIC: System-Level Intelligent Intensive Computing

Abstract

Recently several architectural approaches have been explored that promise to hide memory latency for applications that include data-intensive applications while improving scalability The SLIIC project demonstrated and compared some of the advantages and disadvantages of the PIM (processor-in-memory) and stream processing approaches to hiding memory latency. The SLIIC project built board prototypes for PIM and stream processing architectures and implemented data-intensive applications in simulation and in hardware to measure the performance. Speedups of up to 54 measured in cycles and 16 measured in execution time were obtained over commercial microprocessors.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA429293

Entities

People

  • Jinwoo Suh
  • Stephen Crago

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Beam Steering
  • C Programming Language
  • Central Processing Units
  • Compilers
  • Computer Architecture
  • Computer Programming
  • Computers
  • Computing System Architectures
  • Embedded Systems
  • Instruction Set Architecture
  • Operating Systems
  • Personal Computers
  • Programming Languages
  • Signal Processing
  • Simulations
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.