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About 2,340 papers for “Multiprocessing”

multiprocessing

Russ Miller, Martins Innus, Charles M. Weeks et al. · 2002

Copyright © International Union of Crystallography Author(s) of this paper may load this reprint on their own web site provided that this cover page is retained. Republication of this article or its storage in electronic databases or the like is not permitted without prior permission in writing from the IUCr. J. Appl. Cryst. (2002). 35, 374–376 Jason Rappleye et al. Multiprocessing in SnB computer programs

Cited by 0

Multiprocessing

Adarsh Divakaran · Apress eBooks · 2025

In the previous chapter, we explored multithreading in Python and discussed how threads enable concurrent execution within a single process.

Cited by 0

multiprocessing

A Martins Innus, B Charles M. Weeksc, Russ Millera · 2002

The computer program SnB implements a direct-methods algorithm, known as Shake-and-Bake, which optimizes trial structures consisting of randomly positioned atoms. Although large Shake-and-Bake applications require signi®cant amounts of computing time, the algorithm can be easily implemented in parallel in order to decrease the real time required to achieve a solution. By using a master±worker model, SnB version 2.2 is amenable to all of the prevalent modern parallel-computing platforms, including (i) shared-memory multi-processor machines, such as the SGI Origin2000, (ii) distributed-memory multiprocessor machines, such as the IBM SP, and (iii) collections of workstations, including Beowulf clusters. A linear speedup in the processing of a ®xed number of trial structures can be obtained on each of these platforms. 1.

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Multiprocessing

Ann M. Wollrath, Distributed Memory · 1991

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Multiprocessing

Peter C. Patton · AccessScience · 2015

AccessScience is an authoritative and dynamic online resource that contains incisively written, high-quality educational material covering all major scientific disciplines. An acclaimed gateway to scientific knowledge, AccessScience is continually expanding the ways it can demonstrate and explain core, trustworthy scientific information that inspires and guides users to deeper knowledge.

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Multiprocessing

Yigal Hoffner, Mike Smith · Microprocessors and Microsystems · 1984

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Multiprocessing

Stephen Smith · Maker Innovations Series · 2026

The Pico-series contains two ARM Cortex-M-series CPU cores. This chapter looks at how to run code on the second processor. The second processor is in power-conserving sleep state by default; how to wake it up and assign it work to process will be shown. The Raspberry company added the following helpful features to the Pico-series for working with both CPU cores:

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Rediflow Multiprocessing

Keller, Robert M., Lin, Frank C. H., Tanaka, Jiro · Scholarship - Claremont (Claremont Colleges) · 1984

We discuss the concepts underlying Rediflow, a multiprocessing system being designed to support concurrent programming through a hybrid model of reduction, dataflow, and von Neumann processes. The techniques of automatic load-balancing in Rediflow are described in some detail.

Cited by 29Open access

Multiprocessing Servers

Bill Wong · Auerbach Publications eBooks · 2019

The keyboard chip has its own processor as do many video cards and most SCSI controllers. These form a loosely coupled, asymmetrical multiprocessing system, but the symmetrical multiprocessing systems are what typically come to mind when multiprocessing is mentioned in casual conversation. Clustering is an alternative and is also complementary to more tightly coupled multiprocessing systems. RISC processors found their way into multiprocessing systems quickly. They have a long track record in large systems. Multiprocessing systems can support two general types of applications. The first type (S) of application is one designed to run on a single processor system. This includes multithreaded applications. The second type (M) is an application that is designed to run on multiple processors. The Pentium Pro has moved to the forefront of Intel-based multiprocessing support because of its built-in cache and multiprocessing support.

Cited by 0

Distributed Multiprocessing

2008

motivate our logic which can express system correctness in situations of in-complete information. The next subsection defines games, which seem a robust model for computing syst=n which incom-plete information arises. 1.2 Game Definitions A game G consists of: 1) players {0,1,..., k} partitioned into dis-joint teams TlrT2 2) a set of positions Pi for each player i. 3) a next move relation + ‘Pi ‘(uPj) i— j specifying possible next moves for each player i. A position is losing for a given player if he has no next move. A play is a sequence of moves

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Spaceborne multiprocessing seminar

NASA Technical Reports Server (NASA)

Multiprocessor organization, integrated circuit techniques, self-repairing systems for spaceborne computer designs - conference

Cited by 0Open access