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» GPU Cluster for High Performance Computing
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2009
ACM
15 years 7 months ago
Scalable work stealing
Irregular and dynamic parallel applications pose significant challenges to achieving scalable performance on large-scale multicore clusters. These applications often require ongo...
James Dinan, D. Brian Larkins, P. Sadayappan, Srir...
SCHOLARPEDIA
2011
14 years 3 months ago
N-body simulations
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
121
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TOG
2008
174views more  TOG 2008»
15 years 14 days ago
Real-time smoke rendering using compensated ray marching
We present a real-time algorithm called compensated ray marching for rendering of smoke under dynamic low-frequency environment lighting. Our approach is based on a decomposition ...
Kun Zhou, Zhong Ren, Stephen Lin, Hujun Bao, Baini...
130
Voted
HPDC
2007
IEEE
15 years 7 months ago
A fast topology inference: a building block for network-aware parallel processing
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
Tatsuya Shirai, Hideo Saito, Kenjiro Taura
ICIP
2009
IEEE
16 years 1 months ago
Effective Initialization Of K-means For Color Quantization
Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms...