Graphics processing units (GPUs) are powerful devices capable of rapid parallel computation. GPU programming, however, can be quite difficult, limiting its use to experienced prog...
Abstract. Although current programming models provide adequate performance, many prove inadequate to support the effective development of efficient Grid applications. Many of the ...
Abstract—Recent years have seen a trend in using graphic processing units (GPU) as accelerators for general-purpose computing. The inexpensive, single-chip, massively parallel ar...
The emergence of heterogeneous many core architectures presents a unique opportunity for delivering order of magnitude performance increases to high performance applications by ma...
Much work has been done in the areas of and–parallelism and data parallelism in Logic Programs. Such work has proceeded to a certain extent in an independent fashion. Both types...