Data locality is critical to achievinghigh performance on large-scale parallel machines. Non-local data accesses result in communication that can greatly impact performance. Thus ...
A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying ha...
This paper describes the program execution framework being developed by the Grid Application Development Software (GrADS) Project. The goal of this framework is to provide good re...
Ken Kennedy, Mark Mazina, John M. Mellor-Crummey, ...
: Grid computing is becoming more and more attractive for providing a convenient uniform platform for coordinating highly distributed and heterogeneous resources and services. In t...
Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering sol...