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HIPC
2007
Springer
14 years 1 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
SASP
2009
IEEE
222views Hardware» more  SASP 2009»
14 years 2 months ago
A memory optimization technique for software-managed scratchpad memory in GPUs
—With the appearance of massively parallel and inexpensive platforms such as the G80 generation of NVIDIA GPUs, more real-life applications will be designed or ported to these pl...
Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh
EVOW
2010
Springer
13 years 11 months ago
Parallel Genetic Algorithm on the CUDA Architecture
Abstract. This paper deals with the mapping of the parallel islandbased genetic algorithm with unidirectional ring migrations to nVidia CUDA software model. The proposed mapping is...
Petr Pospichal, Jirí Jaros, Josef Schwarz
ICVGIP
2008
13 years 9 months ago
Ray Casting Deformable Models on the GPU
The GPUs pack high computation power and a restricted architecture into easily available hardware today. They are now used as computation co-processors and come with programming m...
Suryakant Patidar, P. J. Narayanan
EGH
2009
Springer
13 years 5 months ago
Efficient stream compaction on wide SIMD many-core architectures
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several proce...
Markus Billeter, Ola Olsson, Ulf Assarsson