Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
As bioinformatics is an emerging application of high performance computing, this paper first evaluates the memory performance of several representative bioinformatics application...
Guangming Tan, Lin Xu, Shengzhong Feng, Ninghui Su...
Abstract— Today data sources are pervasive and their number is growing tremendously. Current tools are not prepared to exploit this unprecedented amount of information and to cop...
In this paper we present design and development of the semantic grid services for the flood forecasting simulations. We will highlight the corresponding architecture and the proc...
Marian Babik, Emil Gatial, Ondrej Habala, Ladislav...
Spatial Computing (SC) has been shown to be an energy-efficient model for implementing program kernels. In this paper we explore the feasibility of using SC for more than small k...
Mahim Mishra, Timothy J. Callahan, Tiberiu Chelcea...