The multicluster architecture that we introduce offers a decentralized, dynamically-scheduled architecture, in which the register files, dispatch queue, and functional units of t...
Keith I. Farkas, Paul Chow, Norman P. Jouppi, Zvon...
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the ...
— Modeling and scheduling of cluster tools are critical to improving the productivity and to enhancing the design of wafer processing flows and equipment for semiconductor manuf...
Jingang Yi, Shengwei Ding, Dezhen Song, Mike Tao Z...
Abstract. In recent years a bundle of parallel and distributed algorithms for verification of finite state systems has appeared. We survey distributed-memory enumerative LTL mode...