Subtitled "A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++", in this book authors Jaegeun Han and Bharatkumar Sharma explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python. The book also looks at optimizing the performance of apps using CUDA programming platforms with various libraries, compiler directives (OpenACC), and other languages.
<ASIN:1788996240>
Authors: Jaegeun Han and Bharatkumar Sharma Publisher: Packt Date: September 2019 Pages: 508 ISBN: 978-1788996242 Print: 1788996240 Kindle: B07PTBDWV4 Audience: developers interested in Cuda Level: Introductory/Intermediate Category: Graphics & Games
- Understand general GPU operations and programming patterns in CUDA
- Uncover the difference between GPU programming and CPU programming
- Analyze GPU application performance and implement optimization strategies
- Explore GPU programming, profiling, and debugging tools
- Grasp parallel programming algorithms and how to implement them
- Scale GPU-accelerated applications with multi-GPU and multi-nodes
- Delve into GPU programming platforms with accelerated libraries, Python, and OpenACC
- Gain insights into deep learning accelerators in CNNs and RNNs using GPUs
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Modern Software Engineering (Addison-Wesley)
Author: David Farley Pages: 256 ISBN: 978-0137314911 Print:0137314914 Kindle: B09GG6XKS4 Audience: Software Engineers Rating: 3.5 Reviewer: Kay Ewbank
This book is subtitled 'doing what works to build better software faster' - does it teach you how to achieve that?
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The Road to Azure Cost Governance
Author: Paola E. Annis et al Publisher: Packt Publishing Pages: 314 ISBN: 978-1803246444 Print: 1803246448 Kindle: B09NW2CTHX Audience: Bill payers Rating: 4.5 Reviewer: Ian Stirk
This book aims to help you reduce your Azure costs, how does it fare?
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