Title :
Reducing Cache Traffic and Energy with Macro Data Load
Author :
Jin, Lei ; Cho, Sangyeun
Author_Institution :
Dept. of Comput. Sci., Pittsburgh Univ., PA
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
Keywords :
cache storage; logic design; low-power electronics; memory architecture; microprocessor chips; L1 cache; cache port; cache traffic reduction; energy reduction; generalized memory value reuse table; load store queue design; loaded value reuse; macro data load; maximum-width data value; Bandwidth; Computer science; Energy consumption; Filters; Information retrieval; Memory; Microarchitecture; Permission; Process design; Traffic control; Design; LSQ design; Memory hierarchy; low power; performance;
Conference_Titel :
Low Power Electronics and Design, 2006. ISLPED'06. Proceedings of the 2006 International Symposium on
Conference_Location :
Tegernsee
Print_ISBN :
1-59593-462-6
DOI :
10.1109/LPE.2006.4271825