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» Implementing LNS using filtering units of GPUs
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CEC
2008
IEEE
14 years 1 months ago
A fast high quality pseudo random number generator for graphics processing units
—Limited numerical precision of nVidia GeForce 8800 GTX and other GPUs requires careful implementation of PRNGs. The Park-Miller PRNG is programmed using G80’s native Value4f ï...
William B. Langdon
PROCEDIA
2010
103views more  PROCEDIA 2010»
13 years 2 months ago
Towards generating optimised finite element solvers for GPUs from high-level specifications
We argue that producing maintainable high-performance implementations of finite element methods for multiple targets requires that they are written using a high-level domain-speci...
Graham R. Markall, David A. Ham, Paul H. J. Kelly
FPL
2006
Springer
211views Hardware» more  FPL 2006»
13 years 11 months ago
Comparing FPGAs to Graphics Accelerators and the Playstation 2 Using a Unified Source Description
Field programmable gate arrays (FPGAs), graphics processing units (GPUs) and Sony's PlayStation 2 vector units offer scope for hardware acceleration of applications. We compa...
Lee W. Howes, Paul Price, Oskar Mencer, Olav Beckm...
SPRINGSIM
2008
13 years 8 months ago
Data parallel execution challenges and runtime performance of agent simulations on GPUs
Programmable graphics processing units (GPUs) have emerged as excellent computational platforms for certain general-purpose applications. The data parallel execution capabilities ...
Kalyan S. Perumalla, Brandon G. Aaby
ICMCS
2008
IEEE
208views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Fast computation of general Fourier Transforms on GPUS
We present an implementation of general FFTs for graphics processing units (GPUs). Unlike most existing GPU FFT implementations, we handle both complex and real data of any size t...
Brandon Lloyd, Chas Boyd, Naga K. Govindaraju