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...
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 ...
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...
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
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...