Unified Analytical Models of Parallel and Distributed Computing

Heterogeneous parallel and distributed computing

Heterogeneous network-based distributed and parallel computing is gaining increasing acceptance as an alternative or complementary paradigm to multiprocessor-based parallel processing as well as to conventional supercomputing. While algorithmic and programming aspects of heterogeneous concurrent computing are similar to their parallel processing counterparts, system issues, partitioning and sch...

Introduction - Parallel and Distributed Computing

From Distributed Sequential Computing to Distributed Parallel Computing

One approach to distributed parallel programming is to utilize self-migrating threads. Computations can be distributed first, and parallelized second. The first step produces a distributed sequential thread, which can be incrementally parallelized by the second step. This paper prescribes three transformations that turn distributed sequential programs into distributed parallel programs. Real-li...

Parallel and Distributed Computing and Networks

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Parallel and distributed scientific and engineering computing

The scientific and engineering computing domains play a key role in shaping future research and development activities in academia and industry. In the not too distant future, every researcher in science and engineering fields will have to understand parallel and distributed computing. With hyperthreading in Intel processors, hypertransport links in next generation AMD processors, multicore sil...