The knowledge discovery process is interactive in nature and therefore minimizing query response time is imperative. The compute and memory intensive nature of data mining algorit...
Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shi...
This paper presents a framework based on a user driven methodology to obtain analytical models of MPI applications on parallel systems in a systematic and easy to use way. This me...
There are two popular parallel programming paradigms available to high performance computing users such as engineering and physics professionals: message passing and distributed s...
Lorena B. C. Passos, Gerson H. Pfitscher, Tarcisio...
The advent of the Beowulf cluster in 1994 provided dedicated compute cycles, i.e., supercomputing for the masses, as a cost-effective alternative to large supercomputers, i.e., su...
Many modern massively distributed systems deploy thousands of nodes to cooperate on a computation task. Network congestions occur in these systems. Most applications rely on conge...