A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf
.
Exploiting wavefront parallelism on large-scale shared-memory multiprocessors
2001
IEEE Transactions on Parallel and Distributed Systems
AbstractÐWavefront parallelism, in which parallelism is limited to hyperplanes in an iteration space, can arise when compilers apply tiling to loop nests to enhance locality. Previous approaches for scheduling wavefront parallelism focused on maximizing parallelism, balancing workloads, and reducing synchronization. In this paper, we show that on large-scale shared-memory multiprocessors, locality is a crucial factor. We make the distinction between intratile and intertile locality and show
doi:10.1109/71.914756
fatcat:2ucmp4mx2vcuxmbyt4mx7ftsey