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...
One of the main challenges in getting acceptance for safe object-oriented languages in hard real-time systems is to combine automatic memory management with hard real-time constra...
This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous...
This paper describes our approaches to raise the level of abstraction at which hardware suitable for accelerating computationally-intensive applications can be specified. Field-Pr...
Qiang Liu, George A. Constantinides, Konstantinos ...
The ongoing trend of increasing computer hardware and software complexity has resulted in the increase in complexity and overheads of cycle-accurate processor system simulation, e...
Seongbeom Kim, Fang Liu, Yan Solihin, Ravi R. Iyer...