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ICANN
2010
Springer
13 years 10 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
CODES
2003
IEEE
14 years 2 months ago
A fast parallel reed-solomon decoder on a reconfigurable architecture
This paper presents a software implementation of a very fast parallel Reed-Solomon decoder on the second generation of MorphoSys reconfigurable computation platform, which is targ...
Arezou Koohi, Nader Bagherzadeh, Chengzi Pan
HIPC
2003
Springer
14 years 2 months ago
Dynamic Load Balancing for I/O-Intensive Tasks on Heterogeneous Clusters
1 Since I/O-intensive tasks running on a heterogeneous cluster need a highly effective usage of global I/O resources, previous CPUor memory-centric load balancing schemes suffer ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
ECML
2006
Springer
14 years 1 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
ICS
2004
Tsinghua U.
14 years 3 months ago
Adaptive incremental checkpointing for massively parallel systems
Given the scale of massively parallel systems, occurrence of faults is no longer an exception but a regular event. Periodic checkpointing is becoming increasingly important in the...
Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, J...