For each computer system generation, there are always applications or workloads for which the main memory size is the major limitation. On the other hand, in many cases, one could...
Distributed local memories, or scratchpads, have been shown to effectively reduce cost and power consumption of application-specific accelerators while maintaining performance. Th...
Manjunath Kudlur, Kevin Fan, Michael L. Chu, Scott...
This paper gives an overview of recent work on machine models for processing massive amounts of data. The main focus is on generalizations of the classical data stream model where...
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...
Abstract. Transformations from shared memory model to wireless sensor networks (WSNs) quickly become inefficient in the presence of prevalent message losses in WSNs, and this prohi...
Mahesh Arumugam, Murat Demirbas, Sandeep S. Kulkar...