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Practical Parallel Rendering
Practical Parallel Rendering
Knygos.lt klubas Knygos.lt nariams
118,85 €
-30%
Įprastai
169,79 €
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Meeting the growing demands for speed and quality in rendering computer graphics images requires new techniques. Practical parallel rendering provides one of the most practical solutions. This book addresses the basic issues of rendering within a parallel or distributed computing environment, and considers the strengths and weaknesses of multiprocessor machines and networked render farms for graphics rendering. Case studies of working applications demonstrate, in detail, practical ways of deali…
  • Leidėjas:
  • ISBN-10: 0367447010
  • ISBN-13: 9780367447014
  • Formatas: 15 x 22.6 x 2.3 cm, minkšti viršeliai
  • Kalba: Anglų

Practical Parallel Rendering (el. knyga) (skaityta knyga) | knygos.lt

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Meeting the growing demands for speed and quality in rendering computer graphics images requires new techniques. Practical parallel rendering provides one of the most practical solutions. This book addresses the basic issues of rendering within a parallel or distributed computing environment, and considers the strengths and weaknesses of multiprocessor machines and networked render farms for graphics rendering. Case studies of working applications demonstrate, in detail, practical ways of dealing with complex issues involved in parallel processing.

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  • Leidėjas:
  • ISBN-10: 0367447010
  • ISBN-13: 9780367447014
  • Formatas: 15 x 22.6 x 2.3 cm, minkšti viršeliai
  • Kalba: Anglų

Meeting the growing demands for speed and quality in rendering computer graphics images requires new techniques. Practical parallel rendering provides one of the most practical solutions. This book addresses the basic issues of rendering within a parallel or distributed computing environment, and considers the strengths and weaknesses of multiprocessor machines and networked render farms for graphics rendering. Case studies of working applications demonstrate, in detail, practical ways of dealing with complex issues involved in parallel processing.

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