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135
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IEEEPACT
2008
IEEE
15 years 7 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
ICPP
2007
IEEE
15 years 7 months ago
Integrating Memory Compression and Decompression with Coherence Protocols in Distributed Shared Memory Multiprocessors
Ever-increasing memory footprint of applications and increasing mainstream popularity of shared memory parallel computing motivate us to explore memory compression potential in di...
Lakshmana Rao Vittanala, Mainak Chaudhuri
124
Voted
SENSYS
2003
ACM
15 years 6 months ago
DFuse: a framework for distributed data fusion
Simple in-network data aggregation (or fusion) techniques for sensor networks have been the focus of several recent research efforts, but they are insufficient to support advance...
Rajnish Kumar, Matthew Wolenetz, Bikash Agarwalla,...
172
Voted
CBSE
2011
Springer
14 years 24 days ago
Rectifying orphan components using group-failover in distributed real-time and embedded systems
Orphan requests are a significant problem for multi-tier distributed systems since they adversely impact system correctness by violating the exactly-once semantics of application...
Sumant Tambe, Aniruddha S. Gokhale
ICASSP
2009
IEEE
15 years 7 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai