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On the Semantics of Parallel Programs
Fundamenta Informaticae, 1981The paper deals with the semantics of parallel programs. It is shown that there exist other semantics besides the well-known one, which reflects multiplexing and is defined as an interleaving of elementary actions. Those semantics are not necessarily equivalent with respect to the input (out-put) relation; moreover, they permit the investigation of the
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Parallel programming — A critique
Parallel Computing, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Compilation of Parallel Programs
Fundamenta Informaticae, 1981The paper examines the properties of a compilation of sequential and parallel programs with respect to computational semantics, defined in the earlier paper of the present author “On the Semantics of Parallel Programs”. A compilation of sequential programs is defined and proved to be stable, i.e.
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Automatic program parallelization
Proceedings of the IEEE, 1993An overview of automatic program parallelization techniques is presented. It covers dependence analysis techniques, followed by a discussion of program transformations, including straight-line code parallelization, do-loop transformations, and parallelization of recursive routines.
Utpal Banerjee +3 more
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Sequentializing Parallel Programs
1992A compile-time technique is presented for determining if a set of procedures within a parallel program can be executed sequentially without causing deadlock. The analysis and methods are described for committed-choice parallel logic programming languages; however, the concepts are general enough for any concurrent languages with fine-grain ...
Mark Korsloot, Evan Tick
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IEEE Software, 1991
Factors driving the growth of parallel computing and those inhibiting its growth are identified. The impact of advances in communication, VLSI technology, and embedded systems on parallel architecture are discussed. The two categories of parallel programs-transformational and reactive-are examined.
K. Mani Chandy, Carl Kesselman
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Factors driving the growth of parallel computing and those inhibiting its growth are identified. The impact of advances in communication, VLSI technology, and embedded systems on parallel architecture are discussed. The two categories of parallel programs-transformational and reactive-are examined.
K. Mani Chandy, Carl Kesselman
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A Parallel Programming Environment
IEEE Software, 1985Automated techniques will not entirely free the programmer from thinking about parallelism but will uncover natural parallelism in loops and generate appropriate synchronization primitives to exploit that ...
John R. Allen, Ken Kennedy
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Programming parallel simulations
1995Computer simulation is one of the well known problem solving paradigms. Simulating large systems generally requires much computational energy, sometimes beyond the capacities of available single processor computers. Parallel discrete event simulation (PDES) is the execution of a discrete event simulation (DES) on a multiprocessor computer.
Farshad Fatin, Ray J. Paul
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Parallel Programming with Skeletons
Computing in Science & Engineering, 2009Parallel programming is bound to become the main concern of software developers in the coming decades. Various models aim to solve this tension, trading efficiency for abstraction or vice versa, but how about getting both?
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Parallel Programming in MATLAB
The International Journal of High Performance Computing Applications, 2009A visit to the neighborhood PC retail store provides ample proof that we are in the multi-core era. The key differentiator among manufacturers today is the number of cores that they pack onto a single chip. The clock frequency of commodity processors has reached its limit, however, and is likely to stay below 4 GHz for years to come.
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