— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
In this paper, we discuss the design of a highly-parallel motion estimator for real-time Scalable Video Coding (SVC). In an SVC, motion is commonly estimated bidirectionally and o...
Marijn J. H. Loomans, Cornelis J. Koeleman, Peter ...
Reconfigurable systems can offer the high spatial parallelism and fine-grained, bit-level resource control traditionally associated with hardware implementations, along with the f...
Many large scale applications, have significant I/O requirements as well as computational and memory requirements. Unfortunately, limited number of I/O nodes provided by the conte...
Meenakshi A. Kandaswamy, Mahmut T. Kandemir, Alok ...