Price: $44.99
(as of Nov 22,2024 17:51:35 UTC – Details)

Publisher ‏ : ‎ Addison-Wesley Professional; 1st edition (November 2, 2015)
Language ‏ : ‎ English
Paperback ‏ : ‎ 352 pages
ISBN-10 ‏ : ‎ 013417741X
ISBN-13 ‏ : ‎ 978-0134177410
Item Weight ‏ : ‎ 1.32 pounds
Dimensions ‏ : ‎ 7.2 x 1 x 9 inches

Are you an engineer looking to optimize your computational tasks? Look no further than CUDA for Engineers: An Introduction to High-Performance Parallel Computing. CUDA, developed by NVIDIA, is a parallel computing platform and application programming interface (API) that allows engineers to harness the power of NVIDIA GPUs for accelerated computing.

With CUDA, engineers can leverage the massive parallel processing capabilities of GPUs to accelerate their simulations, data processing, and machine learning tasks. This can lead to significant speedups compared to traditional CPU-based computing, allowing engineers to tackle larger, more complex problems in less time.

In this post, we will cover the basics of CUDA programming, including how to set up your development environment, write and compile CUDA code, and run GPU-accelerated applications. We will also explore some common parallel computing techniques used in CUDA, such as thread synchronization, memory management, and kernel optimization.

Whether you are a mechanical engineer running simulations, a data scientist analyzing large datasets, or a software engineer developing deep learning models, CUDA for Engineers will help you unlock the full potential of GPU computing for your high-performance computing needs. Stay tuned for more in-depth tutorials and case studies on how to leverage CUDA for engineering applications.
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