Abstract. Recent advances in software and hardware for clustered computing have allowed scientists and computing specialists to take advantage of commodity processors in solving ch...
We describe the experience of three undergraduate computer science programs offering courses on parallel computing. In particular, we offer three different solutions to the proble...
PC grids represent massive computation capacity at a low cost, but are challenging to employ for parallel computing because of variable and unpredictable performance and availabili...
Nagarajan Kanna, Jaspal Subhlok, Edgar Gabriel, Es...
The progress of GPU (Graphics Processing Unit) technology opens a new avenue for boosting computing power. This work is an attempt to exploit GPU for accelerating VLSI circuit opt...
The advantages of pattern-based programming have been well-documented in the sequential literature. However patterns have yet to make their way into mainstream parallel computing,...
Steven Bromling, Steve MacDonald, John Anvik, Jona...
Porting large applications to distributed computing platforms is a challenging task from a software engineering perspective. The Computational Grid has gained tremendous popularit...
Gene Cooperman, Henri Casanova, Jim Hayes, Thomas ...
At UCLA's Plasma Physics Group, to achieve accessible computational power for our research goals, we developed the tools to build numerically-intensive parallel computing clu...
The Message Passing Interface (MPI) is a popular communication library that supports the SIMD model of parallel computing. Process networks (PN), where processes communicate throu...
The utilization of parallel processing in bioinformatics is a relatively new development, and wide spread use of parallel processing in this domain has been limited by the availab...