Reducing cache traffic and energy with macro data load

  • Authors:
  • Lei Jin;Sangyeun Cho

  • Affiliations:
  • University of Pittsburgh;University of Pittsburgh

  • Venue:
  • Proceedings of the 2006 international symposium on Low power electronics and design
  • Year:
  • 2006

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Abstract

This paper presents a study on macro data load, an efficient mechanism to enhance loaded value reuse. A macro data load brings into the processor a maximum-width data value the cache port allows, saves it in an internal structure, and facilitates reuse by later loads. A comprehensive limit study using a generalized memory value reuse table (MVRT) shows the significantly increased reuse opportunities provided by macro data load. We also describe a modified load store queue design as an implementation of the proposed concept. Our quantitative study shows that over 35% of L1 cache accesses in the SPEC2k integer and MiBench programs can be eliminated, resulting in a related energy reduction of 24% and 35% on average, respectively.