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» Broadcast scheduling: algorithms and complexity
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TPDS
2010
143views more  TPDS 2010»
15 years 4 months ago
FIT: A Flexible, Lightweight, and Real-Time Scheduling System for Wireless Sensor Platforms
—We propose FIT, a flexible, lightweight, and real-time scheduling system for wireless sensor platforms. There are three salient features of FIT. First, its two-tier hierarchical...
Wei Dong, Chun Chen, Xue Liu, Kougen Zheng, Rui Ch...
IPPS
2000
IEEE
15 years 10 months ago
Reduction Optimization in Heterogeneous Cluster Environments
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-the-shelf processors become cheaper and faster, ...
Pangfeng Liu, Da-Wei Wang
ICC
2009
IEEE
210views Communications» more  ICC 2009»
16 years 29 days ago
Weighted Sum-Rate Maximization Using Weighted MMSE for MIMO-BC Beamforming Design
—This paper studies linear transmit filter design for Weighted Sum-Rate (WSR) maximization in the Multiple Input Multiple Output Broadcast Channel (MIMO-BC). The problem of fin...
Søren Skovgaard Christensen, Rajiv Agarwal,...
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IPL
2008
80views more  IPL 2008»
15 years 6 months ago
A simpler competitive analysis for scheduling equal-length jobs on one machine with restarts
We consider the online problem of scheduling jobs with equal processing times on a single machine. Each job has a release time and a deadline, and the goal is to maximize the numb...
Michael H. Goldwasser, Arundhati Bagchi Misra
DATE
2009
IEEE
122views Hardware» more  DATE 2009»
16 years 29 days ago
Model-based synthesis and optimization of static multi-rate image processing algorithms
Abstract—High computational effort in modern image processing applications like medical imaging or high-resolution video processing often demands for massively parallel special p...
Joachim Keinert, Hritam Dutta, Frank Hannig, Chris...