The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
spectives. A total of 149 abstracts were accepted and presented in the poster session and 31 of them were selected for oral presentation. At the opening of the meeting, Roderic Gui...
We present a de novo hierarchical simulation framework for first-principles based predictive simulations of materials and their validation on high-end parallel supercomputers and ...
Aiichiro Nakano, Rajiv K. Kalia, Ken-ichi Nomura, ...
Software performance based on performance models can be applied at early phases of the software development cycle to characterize the quantitative behavior of software systems. We...
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...