The Community for Technology Leaders
Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (2002)
Charlottesville, Virginia
Sept. 22, 2002 to Sept. 25, 2002
ISSN: 1089-795X
ISBN: 0-7695-1620-3
pp: 104
Eric S. Tune , University of California at San Diego
Dean M. Tullsen , University of California at San Diego
Brad Calder , University of California at San Diego
ABSTRACT
Information about instruction criticality can be used to control the application of micro-architectural resources efficiently. To this end, several groups have proposed methods to predict critical instructions. This paper presents a framework that allows us to directly measure the criticality of individual dynamic instructions. This allows us to (1) measure the accuracy of proposed critical path predictors, (2) quantify the amount of slack present in non-critical instructions, and (3) provide a new metric, called tautness, which ranks critical instructions by their dominance on the critical path. This research investigates methods for improving critical path predictor accuracy and studies the distribution of slack and tautness in programs. It shows that instruction criticality changes dynamically, and that criticality history patterns can be used to significantly improve predictor accuracy.
INDEX TERMS
null
CITATION
Eric S. Tune, Dean M. Tullsen, Brad Calder, "Quantifying Instruction Criticality", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 104, 2002, doi:10.1109/PACT.2002.1106008
82 ms
(Ver 3.3 (11022016))