Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Abstract In future, parallel and distributed computing paradigms will replace nowadays predominant sequential and centralized ones. Facing the challenge to support the construction...
This paper presents a methodology for aiding a scientific programmer to evaluate the performance of parallel programs on advanced architectures. It applies well-defined design o...
Nayda G. Santiago, Diane T. Rover, Domingo Rodr&ia...
Applying information and communication technologies to development (ICTD) is emerging as an interesting and motivating research area in computer science and engineering. It spans ...
Richard J. Anderson, Ruth E. Anderson, Gaetano Bor...
The ability to dynamically adapt an unstructured grid (or mesh) is a powerful tool for solving computational problems with evolving physical features; however, an efficient parall...
Rupak Biswas, Leonid Oliker, Sajal K. Das, Daniel ...