Can I read Unifying Fixed Code and Fixed Data Mapping of Load-imbalanced Pipelined Loops on EtoBox?
Unifying Fixed Code and Fixed Data Mapping of Load-imbalanced Pipelined Loops by Aristeidis Mastoras; Thomas R. Gross is a Computer Science article available to read on EtoBox.
What is Unifying Fixed Code and Fixed Data Mapping of Load-imbalanced Pipelined Loops about?
Some loops with cross-iteration dependences can execute in parallel by pipelining. The loop body is partitioned into stages such that the data dependences are not violated and then the stages are mapped onto threads. Two well-known mapping techniques are fixed code and fixed data ; they achieve high performance for load-balanced loops, but they fail to perform well for load-imbalanced loops. In this article, we present a novel hybrid mapping that eliminates drawbacks of both prior mapping techniques and enables dynamic scheduling of stages.
Who reads Unifying Fixed Code and Fixed Data Mapping of Load-imbalanced Pipelined Loops?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Aristeidis Mastoras; Thomas R. Gross
- Publisher
- ACM
- Published
- 2016
- Language
- EN
- Field
- Computer Science (Physical Sciences)