Cache-Based Architectures for High Performance Computing

Abstract

Many researchers have noted that scientific codes perform poorly on computer architectures involving a memory hierarchy (cache). Furthermore, a number of researchers and some vendors concluded that simply making the caches larger would not solve this problem. Alternatively, some vendors of HPC systems have opted to equip their systems with fast memory interfaces, but with a limited amount of on-chip cache and no off-chip cache. Some RISC-based HPC systems supported some sort of prefetching or streaming facility that allows one to more efficiently stream data between main memory and the processor (e.g., the Cray T3E). However, there are fundamental limitations on the benefits of these approaches which makes it difficult to see how these approaches by themselves will eliminate the "Memory Wall." It has been shown that if one relies solely on this approach for the Cray T3E, one is unlikely to achieve much better than 4-6% of the machine's peak performance. Does this mean that as the speed of RISC/CISC processors increases, systems designed to process scientific data are doomed to hit the Memory Wall? The answer to that question depends on the ability of programmers to find innovative ways to take advantage of caches. This report discusses some of the techniques that can be used to overcome this hurdle allowing one to consider what types of hardware resources are required to support these techniques.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2002
Accession Number
ADA399720

Entities

People

  • Daniel M. Pressel

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Climate Change
  • Computational Fluid Dynamics
  • Computer Architecture
  • Computer Programming
  • Computer Science
  • Computers
  • Computing System Architectures
  • Department Of Defense
  • Floating Point Operations
  • Fluid Dynamics
  • High Performance Computing
  • Instruction Set Architecture
  • Materials Science
  • Military Research
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.
  • Systems Analysis and Design