Title :
Understanding the backward slices of performance degrading instructions
Author :
Zilles, Craig B. ; Sohi, Gurindar S.
Author_Institution :
Dept. of Comput. Sci., Wisconsin Univ., Madison, WI, USA
Abstract :
For many applications, branch mispredictions and cache misses limit a processor´s performance to a level well below its peak instruction throughput. A small fraction of static instructions, whose behavior cannot be anticipated using current branch predictors and caches, contribute a large fraction of such performance degrading events. This paper analyzes the dynamic instruction stream leading up to these performance degrading instructions to identify the operations necessary to execute them early. The backward slice (the subset of the program that relates to the instruction) of these performance degrading instructions, if small compared to the whole dynamic instruction stream, can be pre-executed to hide the instruction´s latency. To overcome conservative dependence assumptions that result in large slices, speculation can be used, resulting in speculative slices. This paper provides an initial characterization of the backward slices of L2 data cache misses and branch mispredictions, and shows the effectiveness of techniques, including memory dependence prediction and control independence, for reducing the size of these slices. Through the use of these techniques, many slices can be reduced to less than one tenth of the full dynamic instruction stream when considering the 512 instructions before the performance degrading instruction.
Keywords :
cache storage; software performance evaluation; L2 data cache misses; backward slices; branch mispredictions; cache misses; dynamic instruction stream; memory dependence prediction; peak instruction throughput; performance degrading instructions;
Conference_Titel :
Computer Architecture, 2000. Proceedings of the 27th International Symposium on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
1-58113-232-8