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» Efficient Parallel Dynamics Computation of Human Figures
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FGCS
2006
135views more  FGCS 2006»
14 years 9 months ago
Scaling applications to massively parallel machines using Projections performance analysis tool
Some of the most challenging applications to parallelize scalably are the ones that present a relatively small amount of computation per iteration. Multiple interacting performanc...
Laxmikant V. Kalé, Gengbin Zheng, Chee Wai ...
WCRE
2002
IEEE
15 years 2 months ago
Estimating Potential Parallelism for Platform Retargeting
Scientific, symbolic, and multimedia applications present diverse computing workloads with different types of inherent parallelism. Tomorrow’s processors will employ varying com...
Linda M. Wills, Tarek M. Taha, Lewis B. Baumstark ...
BCB
2010
156views Bioinformatics» more  BCB 2010»
14 years 4 months ago
Accelerating HMMER on GPUs by implementing hybrid data and task parallelism
Many biologically motivated problems are expressed as dynamic programming recurrences and are difficult to parallelize due to the intrinsic data dependencies in their algorithms. ...
Narayan Ganesan, Roger D. Chamberlain, Jeremy Buhl...
ASPLOS
2009
ACM
15 years 10 months ago
Kendo: efficient deterministic multithreading in software
Although chip-multiprocessors have become the industry standard, developing parallel applications that target them remains a daunting task. Non-determinism, inherent in threaded a...
Marek Olszewski, Jason Ansel, Saman P. Amarasinghe
JSSPP
2010
Springer
14 years 7 months ago
Dynamic Proportional Share Scheduling in Hadoop
We present the Dynamic Priority (DP) parallel task scheduler for Hadoop. It allows users to control their allocated capacity by adjusting their spending over time. This simple mech...
Thomas Sandholm, Kevin Lai