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Parallel computations on graphs
Cybernetics, 1985Summary: The advent of multiprocessor computing systems, the development of parallel programming, and the theory of high-power computer design have simulated rigorous research into parallel algorithms and their complexity. As with sequential algorithms, the researchers mainly focused on topics in discrete mathematics (sorting, search, etc.).
V. P. Shevchenko, E. A. Ivanov
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Parallel Computer Architecture
2009The possibility for a parallel execution of computations strongly depends on the architecture of the execution platform. This chapter gives an overview of the general structure of parallel computers which determines how computations of a program can be mapped to the available resources, such that a parallel execution is obtained.
Gudula Rünger, Thomas Rauber
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parallel: A command for parallel computing
The Stata Journal: Promoting communications on statistics and Stata, 2019The parallel package allows parallel processing of tasks that are not interdependent. This allows all flavors of Stata to take advantage of multiprocessor machines. Even Stata/MP users can benefit because many community-contributed programs are not automatically parallelized but could be under our framework.
Brian Quistorff, George G. Vega Yon
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SIAM Journal on Computing, 1987
Fundamental discussion of fast parallel computation of a b mod m, for n- bit integers a,b,m, in time (log n)\({}^{O(1)}\), and of related questions, including arithmetic and boolean circuits, extension to polynomials.
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Fundamental discussion of fast parallel computation of a b mod m, for n- bit integers a,b,m, in time (log n)\({}^{O(1)}\), and of related questions, including arithmetic and boolean circuits, extension to polynomials.
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On programming parallel computers
ACM SIGPLAN Notices, 1975In this paper, I will make some general observations about how computers should be programmed, and how programs should be compiled. I will restrict my attention to programming computers to solve numerical analysis problems, although most of my remarks can be applied to other problem areas as well.
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Scheduling Parallel Computations
Journal of the ACM, 1968A model for parallel computations is given as a directed graph in which nodes represent elementary operations, and branches, data channels. The problem considered is the determination of an admissible schedule for such a computation; i.e. for each node determine a sequence of times at which the node initiates its operation.
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Parallel computers and parallel computing in scientific simulations
2008Users are recommended to know more about the computer architectures and to benchmark the machines before falling in love with a particular machine, unless he/she is willing to die for that love. Even the users' participation in the designing phase of the machine is encouraged, in order to make the end product practical in their applications, otherwise ...
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Proceedings of the 11th annual international symposium on Computer architecture - ISCA '84, 1984
The Pringle is a 64 processor MIMD computer with a 64 M (8 bit) instructions per second execution rate. (Copies are running at Purdue and Washington.) The Pringle runs programs written for the Configurable, Highly Parallel (CHiP) Computer. That is, the Pringle executes the 64 separate instruction streams as well as the interconnection (phase) stream ...
Lawrence H. Snyder +3 more
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The Pringle is a 64 processor MIMD computer with a 64 M (8 bit) instructions per second execution rate. (Copies are running at Purdue and Washington.) The Pringle runs programs written for the Configurable, Highly Parallel (CHiP) Computer. That is, the Pringle executes the 64 separate instruction streams as well as the interconnection (phase) stream ...
Lawrence H. Snyder +3 more
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A Short Introduction to Parallel Computers and Parallel Computing
1993This chapter provides a short elementary introduction to parallel computers and parallel computing, and is a prerequisite for a good understanding of the following chapters. We present some architectural multiprocessor characteristics with the emphasis on distributed memory multicomputers.
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