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» Automatic parallelization for graphics processing units
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HIPC
2009
Springer
13 years 5 months ago
A performance prediction model for the CUDA GPGPU platform
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
ASPLOS
2009
ACM
14 years 8 months ago
QR decomposition on GPUs
QR decomposition is a computationally intensive linear algebra operation that factors a matrix A into the product of a unitary matrix Q and upper triangular matrix R. Adaptive sys...
Andrew Kerr, Dan Campbell, Mark Richards
IPPS
2006
IEEE
14 years 1 months ago
A code motion technique for accelerating general-purpose computation on the GPU
Recently, graphics processing units (GPUs) are providing increasingly higher performance with programmable internal processors, namely vertex processors (VPs) and fragment process...
T. Ikeda, Fumihiko Ino, Kenichi Hagihara
ECBS
1996
IEEE
155views Hardware» more  ECBS 1996»
13 years 11 months ago
Model-Integrated Program Synthesis Environment
In this paper, it is shown that, through the use of Model-Integrated Program Synthesis MIPS, parallel real-time implementations of image processing data ows can be synthesized fro...
Janos Sztipanovits, Gabor Karsai, Hubertus Franke
FCCM
2009
IEEE
165views VLSI» more  FCCM 2009»
14 years 2 months ago
Accelerating Quadrature Methods for Option Valuation
This paper presents an architecture for FPGA acceleration of quadrature methods used for pricing complex options, such as discrete barrier, Bermudan, and American options. The arc...
Anson H. T. Tse, David B. Thomas, Wayne Luk