CUDA programming : a developer's guide to parallel computing with GPUs Shane Cook

بواسطة: نوع المادة : نصاللغة: العربية المنتج: Amsterdam Boston Elsevier, MK 2013الوصف: 576 pages illustrations 24 سمنوع المحتوى:
  • نص
نوع الوسائط:
  • بدون وسيط
نوع الناقل:
  • كتاب
تدمك:
  • 9789351071785
الموضوع: تصنيف ديوي العشري:
  • 005.275 21
ملخص: "If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. Comprehensive introduction to parallel programming with CUDA, for readers new to both. Detailed instructions help readers optimize the CUDA software development kit. Practical techniques illustrate working with memory, threads, algorithms, resources, and more. Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets. Each chapter includes exercises to test reader knowledge." -- From publisher description
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Books مكتبة مصر الرئيسية - Misr Main Library Adult - كبار 20 - Adult General Knowledges - معارف عامة كبار 005.275 C. C, 1 (استعراض الرف(يفتح أدناه)) 1 المتاح 8000110042

Includes bibliographical references and index

"If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. Comprehensive introduction to parallel programming with CUDA, for readers new to both. Detailed instructions help readers optimize the CUDA software development kit. Practical techniques illustrate working with memory, threads, algorithms, resources, and more. Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets. Each chapter includes exercises to test reader knowledge." -- From publisher description

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