Abstract

Software distributed-shared-memory (DSM) systems provide a desirable target for parallelizing compilers due to their flexibility. However, studies show synchronization and load imbalance are significant sources of overhead. In this paper, we investigate the impact of compilation techniques for eliminating synchronization overhead in software DSMs, developing new algorithms to handle situations found in practice. We evaluate the contributions of synchronization elimination algorithms based on 1) dependence analysis, 2) communication analysis, 3) exploiting coherence protocols in software DSMs, and 4) aggressive expansion of parallel SPMD regions. We also found suppressing expensive parallelism to be useful for one application. Experiments indicate these techniques eliminate almost all parallel task invocations, and reduce the number of barriers executed by 66% on average. On a 16 processor IBM SP-2, speedups are improved on average by 35%, and are tripled for some applications.

Citations