Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
We consider the filter decomposition problem in supporting coarse-grained pipelined parallelism. This form of parallelism is suitable for data-driven applications in scenarios wh...
We describe a generic programming model to design collective communications on SMP clusters. The programming model utilizes shared memory for collective communications and overlap...
High-performance computing is and has always been performance oriented. However, a consequence of the push towards maximum performance is increased energy consumption, especially ...
In this paper, we describe our first year experiences of administering the NSF-supported Research Experiences for Undergraduates program award. Emerging issues in computer network...