Abstract. This paper describes GAPP – a framework for the execution of distributed genetic algorithms (GAs) using the H2O metacomputing environment. GAs may be a viable solution ...
Tomasz Ampula, Dawid Kurzyniec, Vaidy S. Sunderam,...
Modeling fluid flow in a porous medium is a challenging computational problem. It involves highly heterogeneous distributions of porous medium property, various fluid flow char...
This paper reports on an NSF-funded effort now underway to integrate three learning technologies that have emerged and matured over the past decade; each has presented compelling ...
Service-based approaches are widely used to integrate heterogenous systems. Web services allow for the definition of highly dynamic systems where components (services) can be dis...
The e-services paradigm promises to enable rich, flexible, and dynamic inter-operation of highly distributed, heterogeneous networkenabled services. Among the challenges, a funda...
Cagdas Evren Gerede, Richard Hull, Oscar H. Ibarra...