This paper presents a novel, parallel algorithm for generating top alignments. Top alignments are used for finding internal repeats in biological sequences like proteins and gene...
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
The performance of many modern computer and communication systems is dictated by the latency of communication pipelines. At the same time, power/energy consumption is often another...
Modern memory systems rely on spatial locality to provide high bandwidth while minimizing memory device power and cost. The trend of increasing the number of cores that share memo...
Min Kyu Jeong, Doe Hyun Yoon, Dam Sunwoo, Mike Sul...
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...