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Los Alamos Science No. 22, 1994: Collaborations with Industry on Parallel Computing

By Bruce R. Wienke

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Book Id: WPLBN0002113514
Format Type: PDF eBook :
File Size: 0.1 MB
Reproduction Date: 1994
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Title: Los Alamos Science No. 22, 1994: Collaborations with Industry on Parallel Computing  
Author: Bruce R. Wienke
Volume: Volume 22, Article 2
Language: English
Subject: Newsletter, Science, Education
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Los Alamos Science, Los Alamos National Laboratory Journal Collection
Publication Date:
Publisher: Los Alamos National Laboratory


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Wienke, B. R. (1994). Los Alamos Science No. 22, 1994. Retrieved from

Description: LANL has been at the forefront of scientific computing since before the invention of electronic computers. For several decades it collaborated with industry on the development of large-scale computers and in the early 1990's helped initiate the shift to massively parallel computing. LANL also pioneered the development of powerful algorithms for computations and simulations in the physical sciences. Beginning with a tutorial explaining how computers work, this volume covers some of LANL's best known software contributions, including a Monte Carlo code for particle transport, molecular dynamics software for materials science, and advanced tree codes for simulating the evolution of the universe. Finally, Paul Ginsparg, the creator of, discusses the motivation for the first electronic research archive.

Table of Contents
Table of Contents: Windows on Computing: New Initiatives at Los Alamos -- Collaborations with Industry on Parallel Computing -- How Computers Work: An Introduction to Serial, Vector, and Parallel Computers -- HIPPI: The First Standard for High-Performance Networking -- A Monte Carlo Code for Particle Transport: An Algorithm for All Seasons -- State-of-the-Art Parallel Computing: Molecular Dynamics on the Connection Machine -- Experimental Cosmology and the Puzzle of Large-Scale Structure -- Big Bang Cosmology and the Microwave Background -- A Fast Tree Code for Many-Body Problems -- Lattice-Boltzmann Fluid Dynamics: A Versatile Tool for Multiphase and Other Complicated Flows -- Equations of the Lattice-Boltzmann Method -- Toward Improved Prediction of Reservoir Flow Performance: Simulating Oil and Water Flows at the Pore Scale -- Concept Extraction: A Data Mining Technique -- Clustering and the Continuous k-Means Algorithm -- The Digital Village Initiative -- First Steps Toward Electronic Research Communication I239


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