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IJPP
2011
99views more  IJPP 2011»
13 years 3 months ago
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over even multicore CPUs for lattice-oriented applicatio...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
HIPC
2007
Springer
14 years 2 months ago
Accelerating Large Graph Algorithms on the GPU Using CUDA
Abstract. Large graphs involving millions of vertices are common in many practical applications and are challenging to process. Practical-time implementations using high-end comput...
Pawan Harish, P. J. Narayanan
PC
2010
177views Management» more  PC 2010»
13 years 7 months ago
Parallel graph component labelling with GPUs and CUDA
Graph component labelling, which is a subset of the general graph colouring problem, is a computationally expensive operation that is of importance in many applications and simula...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
EUROPAR
2009
Springer
14 years 3 months ago
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs
While general-purpose homogeneous multi-core architectures are becoming ubiquitous, there are clear indications that, for a number of important applications, a better performance/p...
Eduard Ayguadé, Rosa M. Badia, Francisco D....
VMV
2004
183views Visualization» more  VMV 2004»
13 years 10 months ago
CGiS, a new Language for Data-parallel GPU Programming
In the last few years, GPUs have become new, promising targets for general purpose programming. Their inherent parallel architecture makes them particularly suited for scientific ...
Nicolas Fritz, Philipp Lucas, Philipp Slusallek