Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Despite a large research effort, software distributed shared memory systems have not been widely used to run parallel applications across clusters of computers. The higher perform...
A fine-grain parallel program is one in which processes are typically small, ranging from a few to a few hundred instructions. Fine-grain parallelism arises naturally in many situ...
Vincent W. Freeh, David K. Lowenthal, Gregory R. A...
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...