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ICMCS
2008
IEEE
159views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Using graphics devices in reverse: GPU-based Image Processing and Computer Vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
IPPS
2009
IEEE
14 years 2 months ago
Understanding the design trade-offs among current multicore systems for numerical computations
In this paper, we empirically evaluate fundamental design trade-offs among the most recent multicore processors and accelerator technologies. Our primary aim is to aid application...
Seunghwa Kang, David A. Bader, Richard W. Vuduc
IJPP
2011
99views more  IJPP 2011»
13 years 2 months ago
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over even multicore CPUs for lattice-oriented applicatio...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
CSE
2012
IEEE
12 years 3 months ago
Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters
—Continuum quantum Monte Carlo (QMC) has proved to be an invaluable tool for predicting the properties of matter from fundamental principles. By solving the manybody Schr¨odinge...
Kenneth Esler, Jeongnim Kim, David M. Ceperley, Lu...
IPPS
2009
IEEE
14 years 2 months ago
Evaluating the use of GPUs in liver image segmentation and HMMER database searches
In this paper we present the results of parallelizing two life sciences applications, Markov random fieldsbased (MRF) liver segmentation and HMMER’s Viterbi algorithm, using GP...
John Paul Walters, Vidyananth Balu, Suryaprakash K...