In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
Dependence-aware transactional memory (DATM) is a recently proposed model for increasing concurrency of memory transactions without complicating their interface. DATM manages depe...
Hany E. Ramadan, Indrajit Roy, Maurice Herlihy, Em...
Rapid commoditization of advanced hardware and progress of networking technology is now making wide area high-performance computing a.k.a. the ‘Grid’ Computing a reality. Sinc...
In order to achieve practical efficient execution on a parallel architecture, a knowledge of the data dependencies related to the application appears as the key point for building...
Abstract. We describe a declarative language, called BAD (brain architecture description language), which we have developed for describing and then running brain models. Models are...