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» DPS - Dynamic Parallel Schedules
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ISPASS
2009
IEEE
15 years 6 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...
JSSPP
2005
Springer
15 years 4 months ago
Pitfalls in Parallel Job Scheduling Evaluation
There are many choices to make when evaluating the performance of a complex system. In the context of parallel job scheduling, one must decide what workload to use and what measur...
Eitan Frachtenberg, Dror G. Feitelson
ASPDAC
2006
ACM
119views Hardware» more  ASPDAC 2006»
15 years 5 months ago
Using speculative computation and parallelizing techniques to improve scheduling of control based designs
Recent research results have seen the application of parallelizing techniques to high-level synthesis. In particular, the effect of speculative code transformations on mixed contr...
Roberto Cordone, Fabrizio Ferrandi, Marco D. Santa...
ICC
2007
IEEE
123views Communications» more  ICC 2007»
15 years 5 months ago
Channel Access Statistics of Parallel Multiuser Scheduling
— Generalized selection multiuser diversity (GSMuD) is a new scheduling scheme which provides a near-optimal low-complexity solution to parallel access multiuser scheduling. In t...
Yao Ma, Dongbo Zhang
JSSPP
1995
Springer
15 years 2 months ago
A Microeconomic Scheduler for Parallel Computers
We describe a scheduler based on the microeconomic paradigm for scheduling on-line a set of parallel jobs in a multiprocessor system. In addition to increasing the system throughpu...
Ion Stoica, Hussein M. Abdel-Wahab, Alex Pothen