Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Scalability of applications on distributed sharedmemory (DSM) multiprocessors is limited by communication overheads. At some point, using more processors to increase parallelism y...
Khaled Z. Ibrahim, Gregory T. Byrd, Eric Rotenberg
OpenMP has emerged as a widely accepted standard for writing shared memory programs. Hardware-specific extensions such as data placement are usually needed to improve the scalabi...
This paper contributes and evaluates a model and a methodology for implementing parallel wavefront algorithms on the Cell Broadband Engine. Wavefront algorithms are vital in sever...
Ashwin M. Aji, Wu-chun Feng, Filip Blagojevic, Dim...
Partial evaluation has recently proven an effective technique for evaluating Boolean XPath queries over a fragmented tree that is distributed over a number of sites. What left ope...