In writing parallel programs, programmers expose parallelism and optimize it to meet a
particular performance goal on a single platform under an assumed set of workload
characteristics. In the field, changing workload characteristics, new parallel platforms, and
deployments with different performance goals make the programmer's development-time
choices suboptimal. To address this problem, this paper presents the Degree of Parallelism
Executive (DoPE), an API and run-time system that separates the concern of exposing …

In writing parallel programs, programmers expose parallelism and optimize it to meet a
particular performance goal on a single platform under an assumed set of workload
characteristics. In the field, changing workload characteristics, new parallel platforms, and
deployments with different performance goals make the programmer's development-time
choices suboptimal. To address this problem, this paper presents the Degree of Parallelism
Executive (DoPE), an API and run-time system that separates the concern of exposing …