ISHPC 2002: High Performance Computing pp 146-159 | Cite as

High Performance and Energy Efficient Serial Prefetch Architecture

  • Glenn Reinman
  • Brad Calder
  • Todd Austin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2327)

Abstract

Energy efficient architecture research has flourished recently, in an attempt to address packaging and cooling concerns of current microprocessor designs, as well as battery life for mobile computers. Moreover, architects have become increasingly concerned with the complexity of their designs in the face of scalability, verification, and manufacturing concerns.

In this paper, we propose and evaluate a high performance, energy and complexity efficient front-end prefetch architecture. This design, called Serial Prefetching, combines a high fetch bandwidth branch prediction and efficient instruction prefetching architecture with a low-energy instruction cache. Serial Prefetching explores the benefit of decoupling the tag component of the cache from the data component. Cache blocks are first verified by the tag component of the cache, and then the accesses are put into a queue to be consumed by the data component of the instruction cache. Energy is saved by only accessing the correct way of the data component specified by the tag lookup in a previous cycle. The tag component does not stall on a I-cache miss, only the data component. The accesses that miss in the tag component are speculatively brought in from lower levels of the memory hierarchy. This in effect performs a prefetch, while the access migrates through the queue to be consumed by the data component.

Keywords

Memory Hierarchy Data Component Cache Replacement Instruction Cache Cache Block 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Glenn Reinman
    • 1
  • Brad Calder
    • 2
  • Todd Austin
    • 3
  1. 1.Computer Science DepartmentUniversity of CaliforniaLos Angeles
  2. 2.Department of Computer Science and EngineeringUniversity of CaliforniaSan Diego
  3. 3.Electrical Engineering and Computer Science DepartmentUniversity of MichiganUSA

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