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IPPS
2009
IEEE
14 years 2 months ago
Work-first and help-first scheduling policies for async-finish task parallelism
Multiple programming models are emerging to address an increased need for dynamic task parallelism in applications for multicore processors and shared-address-space parallel compu...
Yi Guo, Rajkishore Barik, Raghavan Raman, Vivek Sa...
IJHPCA
2006
114views more  IJHPCA 2006»
13 years 8 months ago
Fault-Tolerant Scheduling of Fine-Grained Tasks in Grid Environments
Divide-and-conquer is a well-suited programming paradigm for parallel Grid applications. Our Satin system efficiently schedules the finegrained tasks of a divide-and-conquer appli...
Gosia Wrzesinska, Rob van Nieuwpoort, Jason Maasse...
DSN
2000
IEEE
14 years 11 days ago
Fault-Secure Scheduling of Arbitrary Task Graphs to Multiprocessor Systems
In this paper, we propose new scheduling algorithms to achieve fault security in multiprocessor systems. We consider scheduling of parallel programs represented by directed acycli...
Koji Hashimoto, Tatsuhiro Tsuchiya, Tohru Kikuno
NETWORKING
2004
13 years 9 months ago
Distributed Scheduling of Recording Tasks with Interconnected Servers
We consider a system with multiple interconnected video servers storing TV programs that are received through satellite antennas. Users, equipped with set-top boxes, submit request...
Sergios Soursos, George D. Stamoulis, Theodoros Bo...
ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...