HiLPR: pretty pictures for pretty complicated (parallel) patterns

ABSTRACTUsers of parallel patterns need to carefully consider many subtle aspects of software design. In particular, implicit relationships with hardware realities coupled with aggressive strategies for optimization are daunting in this domain. This paper proposes a new way to leverage visual cues in HiLPR, a proposed uniform representation for parallel patterns. We show the application of this approach to three design patterns: Sparse Linear Algebra, Pipeline, and Shared Queue. An evaluation of the combination of a pattern's Forces with its Solution within this representation indicates that this approach holds promise in terms of assisting developers in making better-informed decisions about pattern implementation.