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» Parallel processing flow models on desktop hardware
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IPPS
2008
IEEE
14 years 3 months ago
Wait-free Programming for General Purpose Computations on Graphics Processors
The fact that graphics processors (GPUs) are today’s most powerful computational hardware for the dollar has motivated researchers to utilize the ubiquitous and powerful GPUs fo...
Phuong Hoai Ha, Philippas Tsigas, Otto J. Anshus
TMM
2011
169views more  TMM 2011»
13 years 3 months ago
Empowering Visual Categorization With the GPU
—Visual categorization is important to manage large collections of digital images and video, where textual metadata is often incomplete or simply unavailable. The bag-of-words mo...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
IPPS
2010
IEEE
13 years 6 months ago
A GPU-inspired soft processor for high-throughput acceleration
There is building interest in using FPGAs as accelerators for high-performance computing, but existing systems for programming them are so far inadequate. In this paper we propose...
Jeffrey Kingyens, J. Gregory Steffan
ISPASS
2009
IEEE
14 years 3 months ago
Analyzing CUDA workloads using a detailed GPU simulator
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow’s manyco...
Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, He...
IPPS
1999
IEEE
14 years 26 days ago
Distributed, Scalable, Dependable Real-Time Systems: Middleware Services and Applications
Some classes of real-time systems function in environments which cannot be modeled with static approaches. In such environments, the arrival rates of events which drive transient ...
Lonnie R. Welch, Binoy Ravindran, Paul V. Werme, M...