For more than thirty years, the parallel programming community has used the dependence
graph as the main abstraction for reasoning about and exploiting parallelism in" regular" …

Parallel computing has become an important subject in the field of computer science and
has proven to be critical when researching high performance solutions. The evolution of …

Writing software for one parallel system is a feasible though arduous task. Reusing the
substantial intellectual effort so expended for programming a second system has proved …

In the present scenario, nobody wants to compromise on computational speed when it
comes to competitive business, transferring information quickly in a communication link, or …

In developing High-Performance Computing (HPC) software, time to solution is an important
metric. This metric is comprised of two main components: the human effort required …

Outside of computational science, most problems are formulated in terms of irregular data
structures such as graphs, trees and sets. Unfortunately, we understand relatively little about …

We describe a simple, fast computing and easy to implement method for finding relatively
good clusterings of software systems. Our method relies on the ability to compute the …

PRAM (Parallel Random Access Model) has been widely regarded a desirable parallel
machine model for many years, but it is also believed to be" impossible in reality." As the …

CONTEXT: Writing software for the current generation of parallel systems requires significant
programmer effort, and the community is seeking alternatives that reduce effort while still …

There is a recent surge of interest in single-chip parallel processors. In such machines, it is
crucial to implement a high-throughput low-latency interconnection network to connect the …