عرض عادي

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

بواسطة:نوع المادة : نصنصالسلاسل:Applications of GPU computing seriesالناشر:Amsterdam ; Boston : Morgan Kaufmann, 2013وصف:1 online resourceنوع المحتوى:
  • text
نوع الوسائط:
  • computer
نوع الناقل:
  • online resource
الموضوع:تصنيف مكتبة الكونجرس:
  • viii, 159 p. ;
موارد على الانترنت: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 kitPractical 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.
المقتنيات
نوع المادة المكتبة الحالية رقم الطلب رقم النسخة حالة تاريخ الإستحقاق الباركود
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة viii, 159 p. ; (إستعراض الرف(يفتح أدناه)) C.1 Library Use Only | داخل المكتبة فقط 30010011107261
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة viii, 159 p. ; (إستعراض الرف(يفتح أدناه)) C.2 المتاح 30010011107260

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 kitPractical 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.

Includes index.

Title from publisher's Web site; (ScienceDirect; viewed on Oct. 31, 2012).

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