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» Automatic parallelization for graphics processing units
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ICDE
2006
IEEE
206views Database» more  ICDE 2006»
14 years 9 months ago
Query Co-Processing on Commodity Hardware
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have acti...
Anastassia Ailamaki, Naga K. Govindaraju, Dinesh M...
CGO
2009
IEEE
14 years 2 months ago
Software Pipelined Execution of Stream Programs on GPUs
—The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. This model allows programmers to sp...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...
PDP
2009
IEEE
14 years 2 months ago
A Parallel Implementation of the 2D Wavelet Transform Using CUDA
There is a multicore platform that is currently concentrating an enormous attention due to its tremendous potential in terms of sustained performance: the NVIDIA Tesla boards. The...
Joaquín Franco, Gregorio Bernabé, Ju...
SBACPAD
2007
IEEE
157views Hardware» more  SBACPAD 2007»
14 years 1 months ago
Exploring Novel Parallelization Technologies for 3-D Imaging Applications
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...
Diego Rivera, Dana Schaa, Micha Moffie, David R. K...
CEC
2009
IEEE
14 years 2 months ago
GPU-based parallel particle swarm optimization
— A novel parallel approach to run standard particle swarm optimization (SPSO) on Graphic Processing Unit (GPU) is presented in this paper. By using the general-purpose computing...
You Zhou, Ying Tan