Item specifics
| Condition: | Good : A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitions– opens in a new window or tab |
|---|---|
| Seller Notes: | “Book is in typical used-Good Condition. Will show signs of wear to cover and/or pages. There may be underlining, highlighting, and or writing. May not include supplemental items (like discs, access codes, dust jacket, etc). Will be a good Reading copy.” |
| Language: | English | ISBN: | 9781788993913 |
| EAN: | 9781788993913 |
HANDS-ON GPU PROGRAMMING WITH PYTHON AND CUDA: EXPLORE By Brian Tuomanen
About this product
| Product Information | |
| GPUs are designed for maximum throughput, but are subject to low-level subtleties. In contrast, Python is a high-level language that favours ease of use over speed. In this book, we will combine the power of both Python and CUDA to help you create high performing Python applications by using open-source libraries such as PyCUDA and SciKit-CUDA. | |
| Product Identifiers | |
| Publisher | Packt Publishing, The Limited |
| ISBN-10 | 1788993918 |
| ISBN-13 | 9781788993913 |
| eBay Product ID (ePID) | 18038628458 |
| Product Key Features | |
| Format | Trade Paperback |
| Publication Year | 2018 |
| Language | English |
| Dimensions | |
| Width | 3in. |
| Length | 3.6in. |
| Additional Product Features | |
| Author | Brian Tuomanen |
| Number of Pages | 310 Pages |
| Table of Content | Table of Contents Why GPU Programming? Setting Up Your GPU Programming Environment Getting Started with PyCUDA Kernels, Threads, Blocks, and Grids Streams, Events, Contexts, and Concurrency Debugging and Profiling Your CUDA Code Using the CUDA Libraries with Scikit-CUDA Draft complete The CUDA Device Function Libraries and Thrust Implementing a Deep Neural Network Working with Compiled GPU Code Performance Optimization in CUDA Where to Go from Here |
| Target Audience | Trade |
Price : 54.95
Ends on : Ended
