Scientific, symbolic, and multimedia applications present diverse computing workloads with different types of inherent parallelism. Tomorrow’s processors will employ varying com...
Linda M. Wills, Tarek M. Taha, Lewis B. Baumstark ...
The shift from single to multiple core architectures means that programmers must write concurrent, multithreaded programs in order to increase application performance. Unfortunate...
Emery D. Berger, Ting Yang, Tongping Liu, Gene Nov...
Abstract. As parallelism in microprocessors becomes mainstream, new programming languages and environments are emerging to meet the challenges of parallel programming. To support r...
Todd Anderson, Neal Glew, Peng Guo, Brian T. Lewis...
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
To explore the parallelism among rules is one of the ways to increase the speed of production systems. In this paper, an Object Pattern Matching model is proposed to interpret the...