Title :
The performance potential of fine-grain and coarse-grain parallel architectures
Author :
Lilja, David J. ; Yew, Pen-Chung
Author_Institution :
Center for Supercomput. Res. & Dev., Illinois Univ., Urbana, IL, USA
Abstract :
Recent work has shown that pipelining and multiple instruction issuing are architecturally equivalent in their abilities to exploit parallelism, but there has been little work directly comparing the performance of these fine-grain parallel architectures with that of the coarse-grain multiprocessors. Using trace-driven simulations, the authors compare the performance of a superscalar processor and a pipelined processor using dynamic dependence checking with that of a shared memory multiprocessor. For very parallel programs, they find that the fine-grain processors must bypass an unrealistically large number of branches to match the performance of the multiprocessor. When executing programs with a wide range of potential parallelism, the best performance is obtained using a multiprocessor where each individual processor has a fine-grain parallelism of two to four
Keywords :
parallel architectures; performance evaluation; pipeline processing; coarse-grain multiprocessors; coarse-grain parallel architectures; dynamic dependence checking; fine-grain parallel architectures; multiple instruction issuing; pipelined processor; shared memory multiprocessor; superscalar processor; trace-driven simulations; Computer architecture; Concurrent computing; NASA; Parallel architectures; Parallel processing; Pipeline processing; Power engineering and energy; Research and development; System performance; US Department of Energy;
Conference_Titel :
System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.1991.183902