We show in this paper how to evaluate the performance of skeleton-based high level parallel programs. Since many applications follow some commonly used algorithmic skeletons, we id...
Anne Benoit, Murray Cole, Stephen Gilmore, Jane Hi...
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
Extracting performance from many-core architectures requires software engineers to create multi-threaded applications, which significantly complicates the already daunting task of...
This paper describes Tempest, a collection of mechanisms for communication and synchronization in parallel programs. With these mechanisms, authors of compilers, libraries, and ap...
This paper describes a novel approach to performance analysis for parallel and distributed systems that is based on soft computing. We introduce the concept of performance score re...