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» GPU clusters for high-performance computing
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105
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INTENSIVE
2009
IEEE
15 years 4 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer
CLUSTER
2011
IEEE
13 years 9 months ago
Exploring Fine-Grained Task-Based Execution on Multi-GPU Systems
Using multi-GPU systems, including GPU clusters, is gaining popularity in scientific computing. However, when using multiple GPUs concurrently, the conventional data parallel GPU...
Long Chen, Oreste Villa, Guang R. Gao
ICS
2010
Tsinghua U.
15 years 2 months ago
Large-scale FFT on GPU clusters
A GPU cluster is a cluster equipped with GPU devices. Excellent acceleration is achievable for computation-intensive tasks (e.g. matrix multiplication and LINPACK) and bandwidth-i...
Yifeng Chen, Xiang Cui, Hong Mei
IPPS
2010
IEEE
14 years 7 months ago
Large-scale multi-dimensional document clustering on GPU clusters
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas...
80
Voted
PC
2010
145views Management» more  PC 2010»
14 years 7 months ago
GPU computing with Kaczmarz's and other iterative algorithms for linear systems
The graphics processing unit (GPU) is used to solve large linear systems derived from partial differential equations. The differential equations studied are strongly convection-...
Joseph M. Elble, Nikolaos V. Sahinidis, Panagiotis...