Title :
Performance analysis pf parallelizing compilers on the Perfect Benchmarks programs
Author :
Blume, William ; Eigenmann, Rudolf
Author_Institution :
Center for Supercomput. Res. & Dev., Illinois Univ., Urbana, IL, USA
fDate :
11/1/1992 12:00:00 AM
Abstract :
The speedups of the Perfect Benchmarks codes that result from automatic parallelization are reported. The performance gains caused by individual restructuring techniques have also been measured. Specific reasons for the successes and failures of the transformations are discussed, and potential improvements that result in measurably better program performance are analyzed. The most important findings are that available restructurers often cause insignificant performance gains in real programs and that only few restructuring techniques contribute to this gain. However, it can be shown that there is potential for advancing compiler technology so that many of the most important loops in these programs can be parallelized
Keywords :
automatic programming; parallel programming; program compilers; program testing; Perfect Benchmarks codes; automatic parallelization; compiler technology; individual restructuring techniques; loops; performance gains; program performance; real programs; Automatic testing; Costs; Failure analysis; Parallel architectures; Performance analysis; Performance gain; Performance loss; Program processors; US Department of Energy; Velocity measurement;
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on