Numerical simulations in computational physics, biology, and finance, often require the use of high quality and efficient parallel random number generators. We design and optimi...
David A. Bader, Aparna Chandramowlishwaran, Virat ...
Spatially-tiled architectures, such as Coarse-Grained Reconfigurable Arrays (CGRAs), are powerful architectures for accelerating applications in the digital-signal processing, em...
Brian Van Essen, Aaron Wood, Allan Carroll, Stephe...
Numerical linear algebra operations are key primitives in scientific computing. Performance optimizations of such operations have been extensively investigated. With the rapid adva...
This paper introduces the design of SymGrid, a new Grid framework that will, for the first time, allow multiple invocations of symbolic computing applications to interact via the ...
Kevin Hammond, Abdallah Al Zain, Gene Cooperman, D...
Work stealing is a popular method of scheduling fine-grained parallel tasks. The performance of work stealing has been extensively studied, both theoretically and empirically, but...
Daniel Spoonhower, Guy E. Blelloch, Phillip B. Gib...