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2004
ACM
13 years 11 months ago
GPU Cluster for High Performance Computing
Inspired by the attractive Flops/dollar ratio and the incredible growth in the speed of modern graphics processing units (GPUs), we propose to use a cluster of GPUs for high perfo...
Zhe Fan, Feng Qiu, Arie E. Kaufman, Suzanne Yoakum...
SASP
2008
IEEE
162views Hardware» more  SASP 2008»
13 years 12 months ago
Accelerating Compute-Intensive Applications with GPUs and FPGAs
—Accelerators are special purpose processors designed to speed up compute-intensive sections of applications. Two extreme endpoints in the spectrum of possible accelerators are F...
Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadr...
CODES
2004
IEEE
13 years 9 months ago
CPU scheduling for statistically-assured real-time performance and improved energy efficiency
We present a CPU scheduling algorithm, called Energy-efficient Utility Accrual Algorithm (or EUA), for battery-powered, embedded real-time systems. We consider an embedded softwar...
Haisang Wu, Binoy Ravindran, E. Douglas Jensen, Pe...
DATE
2010
IEEE
151views Hardware» more  DATE 2010»
13 years 10 months ago
A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching
The release of general purpose GPU programming environments has garnered universal access to computing performance that was once only available to super-computers. The availability...
Aditi Rathi, Michael DeBole, Weina Ge, Robert T. C...
ICPP
2009
IEEE
14 years 3 days ago
Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors
—Lattice Boltzmann Methods (LBM) are used for the computational simulation of Newtonian fluid dynamics. LBM-based simulations are readily parallelizable; they have been implemen...
Peter Bailey, Joe Myre, Stuart D. C. Walsh, David ...