To increase the scale and performance of scientific applications, scientists commonly distribute computation over multiple processors. Often without realizing it, file I/O is pa...
Seetharami R. Seelam, Andre Kerstens, Patricia J. ...
Abstract Oliver Diessel1 and Hossam ElGindy2 1Department of Computer Science and Software Engineering 2Department of Electrical and Computer Engineering The University of Newcastle...
The Java programming language and environment is stimulating new research activities in many areas of computing, not the least of which is parallel computing. Parallel techniques ...
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
To sustain emerging data-intensive scientific applications, High Performance Computing (HPC) centers invest a notable fraction of their operating budget on a specialized fast sto...
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhk...