—LambdaGrid applications as typified by data-intensive collaborative visualization are likely to be the first users of terabit-level networking. This paper features a main enable...
Xi Wang, Venkatram Vishwanath, Byungil Jeong, Ratk...
Quantum chemistry applications such as the General Atomic and Molecular Electronic Structure System (GAMESS) that can execute on a complex peta-scale parallel computing environment...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
This paper describes SymbioticSphere, a novel biologically-inspired architecture that allows grid systems (application services and middleware platforms) to be scalable and adapti...
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue