We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
In this paper we propose a dynamic constraint transformation technique for ensuring timing requirements in a distributed real-time system possessing periodically synchronized dist...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
We present a technique for synthesizing power- as well as area-optimized circuits from hierarchical data flow graphs under throughput constraints. We allow for the use of complex...
Abstract—GPUs have recently been used to accelerate dataparallel applications for they provide easier programmability and increased generality while maintaining the tremendous me...
Ping Yao, Hong An, Mu Xu, Gu Liu, Xiaoqiang Li, Ya...