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» An Annotation-Based Framework for Parallel Computing
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ISSS
2002
IEEE
154views Hardware» more  ISSS 2002»
15 years 7 months ago
Optimal Code Size Reduction for Software-Pipelined and Unfolded Loops
Software pipelining and unfolding are commonly used techniques to increase parallelism for DSP applications. However, these techniques expand the code size of the application sign...
Bin Xiao, Zili Shao, Chantana Chantrapornchai, Edw...
132
Voted
ISMIS
1994
Springer
15 years 6 months ago
Distributed Multi-Agent Probabilistic Reasoning With Bayesian Networks
Main stream approaches in distributed artificial intelligence (DAI) are essentially logic-based. Little has been reported to explore probabilistic approach in DAI. On the other han...
Yang Xiang
ECML
2006
Springer
15 years 6 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....
ARC
2008
Springer
112views Hardware» more  ARC 2008»
15 years 4 months ago
Optimal Unroll Factor for Reconfigurable Architectures
Abstract. Loops are an important source of optimization. In this paper, we address such optimizations for those cases when loops contain kernels mapped on reconfigurable fabric. We...
Ozana Silvia Dragomir, Elena Moscu Panainte, Koen ...
130
Voted
NIPS
2008
15 years 3 months ago
Asynchronous Distributed Learning of Topic Models
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Arthur Asuncion, Padhraic Smyth, Max Welling