The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, T...
Abstract - In this paper, we discuss hardware acceleration for real-time physical modeling that would allow for realistic virtual environments. Additionally, we propose algorithms ...
Benjamin Bishop, Thomas P. Kelliher, Mary Jane Irw...
Functional full-system simulators are powerful and versatile research tools for accelerating architectural exploration and advanced software development. Their main shortcoming is...
Eric S. Chung, Eriko Nurvitadhi, James C. Hoe, Bab...
In this paper, we propose a framework to develop highperformance system accelerator hardware and the corresponding software at system-level. This framework is designed by integrat...
Heterogeneous supercomputers with combined general purpose and accelerated CPUs promise to be the future major architecture due to their wideranging generality and superior perfor...