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» Parallel computing with CUDA
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94
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SBACPAD
2003
IEEE
120views Hardware» more  SBACPAD 2003»
15 years 7 months ago
Comparison of Genomes Using High-Performance Parallel Computing
Comparison of the DNA sequences and genes of two genomes can be useful to investigate the common functionalities of the corresponding organisms and get a better understanding of h...
Nalvo F. Almeida Jr., Carlos E. R. Alves, Edson C&...
127
Voted
SP
2002
IEEE
147views Security Privacy» more  SP 2002»
15 years 1 months ago
CX: A scalable, robust network for parallel computing
CX, a network-based computational exchange, is presented. The system's design integrates variations of ideas from other researchers, such as work stealing, non-blocking tasks...
Peter R. Cappello, Dimitros Mourloukos
IPPS
2008
IEEE
15 years 8 months ago
A plug-and-play model for evaluating wavefront computations on parallel architectures
This paper develops a plug-and-play reusable LogGP model that can be used to predict the runtime and scaling behavior of different MPI-based pipelined wavefront applications runni...
Gihan R. Mudalige, Mary K. Vernon, Stephen A. Jarv...
ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
15 years 1 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
114
Voted
IPPS
2007
IEEE
15 years 8 months ago
Self Adaptive Application Level Fault Tolerance for Parallel and Distributed Computing
Most application level fault tolerance schemes in literature are non-adaptive in the sense that the fault tolerance schemes incorporated in applications are usually designed witho...
Zizhong Chen, Ming Yang, Guillermo A. Francia III,...