If you need to learn CUDA but dont have experience with parallel computing, CUDA Programming: A Developers 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
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs
โ Scribed by Shane Cook
- Publisher
- Morgan Kaufmann Publishers
- Year
- 2013
- Tongue
- English
- Leaves
- 591
- Series
- Applications of GPU Computing Series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
COMPUTERS--Programming--General;COMPUTERS--Programming--Parallel;COMPUTERS--Software Development & Engineering--General;COMPUTERS--Systems Architecture--Distributed Systems & Computing;Electronic books;COMPUTERS -- Programming -- General;COMPUTERS -- Programming -- Parallel;COMPUTERS -- Software Development & Engineering -- General;COMPUTERS -- Systems Architecture -- Distributed Systems & Computing
๐ SIMILAR VOLUMES
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 delvin
<p>If you need to learn CUDA but don't have experience with parallel computing, <i>CUDA Programming: A Developer's Introduction </i>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, t
<p><b>Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python</b></p> <h4>Key Features</h4> <ul><li>Learn parallel programming principles and practices and performance analysis in GPU computing </li> <li>Get to
<p><b>Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python</b></p> <h4>Key Features</h4> <ul><li>Learn parallel programming principles and practices and performance analysis in GPU computing </li> <li>Get to