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Ajouter au panierEtat : New. pp. 308.
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Ajouter au panierEtat : New. pp. 308.
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Ajouter au panierEtat : New. This volume provides a non-technical introduction to high performance computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. Num Pages: 304 pages, 29 black & white tables. BIC Classification: J; RGW; UM; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 24. Weight in Grams: 694. . 1999. Hardback. . . . .
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Ajouter au panierEtat : New. This volume provides a non-technical introduction to high performance computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. Num Pages: 304 pages, 29 black & white tables. BIC Classification: J; RGW; UM; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 24. Weight in Grams: 694. . 1999. Hardback. . . . . Books ship from the US and Ireland.
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 289 pages. 9.75x6.75x1.00 inches. In Stock.
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Ajouter au panierEtat : New. pp. 308 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam This item is printed on demand.
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a non-technical introduction to High Performance Computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. They provide examples of where it has already been used and suggestions for other areas of application in geography and the social sciences. Case studies drawn from geography explain the key principles and help to understand the logic and thought processes that lie behind the parallel programming.