Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
Abstract. Simulation platforms for network processing still have difficulties in finding a good compromise between speed and accuracy. This makes it difficult to identify the caus...
We evaluate the e ect of processor speed, network bandwidth, and software overhead on the performance of release-consistent software distributed shared memory. We examine ve di er...
Sandhya Dwarkadas, Peter J. Keleher, Alan L. Cox, ...
Spatial Computing (SC) has been shown to be an energy-efficient model for implementing program kernels. In this paper we explore the feasibility of using SC for more than small k...
Mahim Mishra, Timothy J. Callahan, Tiberiu Chelcea...
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...