Description: About this productProduct IdentifiersPublisherElsevier Science & TechnologyISBN-100124159338ISBN-139780124159334eBay Product ID (ePID)112579467Product Key FeaturesNumber of Pages600 PagesLanguageEnglishPublication NameCUDA Programming : a Developer's Guide to Parallel Computing with GpusSubjectSystems Architecture / General, Systems Architecture / Distributed Systems & Computing, Programming / General, Software Development & Engineering / General, Programming / ParallelPublication Year2012TypeTextbookSubject AreaComputersAuthorShane CookFormatTrade PaperbackDimensionsItem Length9.2 inItem Width7.5 inAdditional Product FeaturesIntended AudienceScholarly & ProfessionalLCCN2013-371002Dewey Edition23Reviews"I must mention chapters 7, which deals with the practicalities of using the SDK, and 9, which offers advice and a detailed breakdown of areas that can limit the performance of a CUDA application. Together, these chapters transform this good book into the kind of excellent text that all CUDA developers can find useful, regardless of their relative experience." --ComputingReviews.com, July 12, 2013 "This book is one of the most comprehensive on the subject published to date...it will guide those acquainted with GPU/CUDA from other books or from NVIDIA product documentation through the optimization maze to efficient CUDA/GPU coding."--ComputingReviews.com, April 25, 2013, "I must mention chapters 7, which deals with the practicalities of using the SDK, and 9, which offers advice and a detailed breakdown of areas that can limit the performance of a CUDA application. Together, these chapters transform this good book into the kind of excellent text that all CUDA developers can find useful, regardless of their relative experience." --ComputingReviews.com, July 12, 2013 "This book is one of the most comprehensive on the subject published to date.it will guide those acquainted with GPU/CUDA from other books or from NVIDIA product documentation through the optimization maze to efficient CUDA/GPU coding."--ComputingReviews.com, April 25, 2013, "This book is one of the most comprehensive on the subject published to date.it will guide those acquainted with GPU/CUDA from other books or from NVIDIA product documentation through the optimization maze to efficient CUDA/GPU coding."--ComputingReviews.com, April 25, 2013IllustratedYesDewey Decimal005.2/75Table Of Content1. A Short History of Supercomputing2. Understanding Parallelism with GPUs3. CUDA Hardware Overview4. Setting Up Cuda5. Grids, Blocks, and Threads6. Memory Handling with CUDA7. Using CUDA in Practice8. Multi-CPU and Multi-GPU Solutions9. Optimizing Your Application10. Libraries and SDK11. Designing GPU-Based Systems12. Common Problems, Causes, and SolutionsSynopsisIf 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, 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.LC Classification NumberQA76.642
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Book Title: CUDA Programming: A Developer's Guide to Parallel Computing with,
Topic: Business Technology
Narrative Type: Business Technology
Genre: N/A
Intended Audience: N/A
Number of Pages: 600 Pages
Language: English
Publication Name: CUDA Programming : a Developer's Guide to Parallel Computing with Gpus
Publisher: Elsevier Science & Technology
Subject: Systems Architecture / General, Systems Architecture / Distributed Systems & Computing, Programming / General, Software Development & Engineering / General, Programming / Parallel
Publication Year: 2012
Type: Textbook
Item Length: 9.2 in
Subject Area: Computers
Author: Shane Cook
Item Width: 7.5 in
Format: Trade Paperback
