Large-scale parallel dataflow systems, e.g., Dryad and Map-Reduce, have attracted significant attention recently. High-level dataflow languages such as Pig Latin and Sawzall are b...
Christopher Olston, Benjamin Reed, Adam Silberstei...
The development of efficient parallel out-of-core applications is often tedious, because of the need to explicitly manage the movement of data between files and data structures ...
Abstract. Parallelizing a sequential algorithm—i.e., manually or automatically converting it into an equivalent parallel distributed algorithm—is an important problem. Ideally,...
Lei Pan, Ming Kin Lai, Michael B. Dillencourt, Lub...