Most parallel computing resources are controlled by batch schedulers that place requests for computation in a queue until access to compute nodes is granted. Queue waiting times a...
The mpC language was developed to write efJicientand portable programsfor wide range of distributed memory machines. It supports both task and data parallelism, allows both static...
Dmitry Arapov, Alexey Kalinov, Alexey L. Lastovets...
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA program...
Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings,...
Distributed applications or workflows need to access and use compute, storage and network resources simultaneously or chronologically coordinated respectively. Examples are distri...