Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such scientific applications is therefore ...
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr...
Sparse linear solvers account for much of the execution time in many high-performance computing (HPC) applications, and not every solver works on all problems. Hence choosing a su...
The relative decline of single-threaded processor performance, coupled with the ongoing shift towards on chip parallelism requires that CAD applications run efficiently on paralle...
Workflow applications executed in Grid environments are not able to take advantage of all the potential parallelism they might have. This limitation in the usage of parallelism com...
High performance computing on parallel architectures currently uses different approaches depending on the hardory model of the architecture, the abstraction level of the programmi...