Distributed computing on heterogeneous nodes, or grid computing, provides a substantial increase in computational power available for many applications. This paper reports our expe...
In patch-based object recognition, using a compact visual codebook can boost computational efficiency and reduce memory cost. Nevertheless, compared with a large-sized codebook, it...
Power minimization under variability is formulated as a rigorous statistical robust optimization program with a guarantee of power and timing yields. Both power and timing metrics...
In this work, we discuss an extension of the set of principles that should guide the future design and development of skeletal programming systems, as defined by Cole in his ``pra...
We present a novel algorithm that assigns codes to instructions during instruction code compression in order to minimize bus-related bit-toggling and thus reducing power consumpti...