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ICANN
2010
Springer
13 years 9 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 8 months ago
Efficient System-Enforced Deterministic Parallelism
Deterministic execution offers many benefits for debugging, fault tolerance, and security. Current methods of executing parallel programs deterministically, however, often incur h...
Amittai Aviram, Shu-Chun Weng, Sen Hu, Bryan Ford
PPL
2008
96views more  PPL 2008»
13 years 8 months ago
A Hybrid Shared Memory Execution Model for a Data Parallel Language with I/O
Execution of programs with data parallel language constructs is either based on the fork/join or on the SPMD model. Whereas the former executes a program sequentially and confines...
Clemens Grelck, Steffen Kuthe, Sven-Bodo Scholz
HPCA
2007
IEEE
14 years 9 months ago
Exploiting Postdominance for Speculative Parallelization
Task-selection policies are critical to the performance of any architecture that uses speculation to extract parallel tasks from a sequential thread. This paper demonstrates that ...
Mayank Agarwal, Kshitiz Malik, Kevin M. Woley, Sam...
ICA3PP
2010
Springer
14 years 1 months ago
On-Line Task Granularity Adaptation for Dynamic Grid Applications
Abstract. Deploying lightweight tasks on grid resources would let the communication overhead dominate the overall application processing time. Our aim is to increase the resulting ...
Nithiapidary Muthuvelu, Ian Chai, Eswaran Chikkann...