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» GPU Versus FPGA for High Productivity Computing
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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...
VIS
2004
IEEE
218views Visualization» more  VIS 2004»
14 years 6 months ago
Pixel-Exact Rendering of Spacetime Finite Element Solutions
Computational simulation of time-varying physical processes is of fundamental importance for many scientific and engineering applications. Most frequently, time-varying simulation...
Michael Garland, Robert Haber, Yuan Zhou
CISIS
2011
IEEE
12 years 5 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
FCCM
2009
IEEE
121views VLSI» more  FCCM 2009»
14 years 7 days ago
FPGA-based Monte Carlo Computation of Light Absorption for Photodynamic Cancer Therapy
—Photodynamic therapy (PDT) is a method of treating cancer that combines light and light-sensitive drugs to selectively destroy cancerous tumours without harming the healthy tiss...
Jason Luu, Keith Redmond, William Lo, Paul Chow, L...
SC
2009
ACM
14 years 8 days ago
Bridging parallel and reconfigurable computing with multilevel PGAS and SHMEM+
Reconfigurable computing (RC) systems based on FPGAs are becoming an increasingly attractive solution to building parallel systems of the future. Applications targeting such syste...
Vikas Aggarwal, Alan D. George, K. Yalamanchili, C...