By Nicholas Wilt
The CUDA Handbook starts the place CUDA via instance (Addison-Wesley, 2011) leaves off, discussing CUDA and software program in higher element and masking either CUDA 5.0 and Kepler. each CUDA developer, from the informal to the main refined, will locate whatever the following of curiosity and fast usefulness. more moderen CUDA builders will see how the procedures instructions and the way the motive force exams growth; more matured CUDA builders will delight in the professional insurance of issues similar to the motive force API and context migration, in addition to the assistance on how top to constitution CPU/GPU information interchange and synchronization.
The accompanying open resource code–more than 25,000 traces of it, freely to be had at www.cudahandbook.com–is particularly meant to be reused and repurposed by way of developers.
Designed to be either a entire reference and a pragmatic cookbook, the textual content is split into the subsequent 3 components:
Part I, evaluate, offers high-level descriptions of the and software program that make CUDA attainable.
Part II, information, presents thorough descriptions of each element of CUDA, together with
- Streams and occasions
- Models of execution, together with the dynamic parallelism function, new with CUDA 5.0 and SM 3.5
- The streaming multiprocessors, together with descriptions of all beneficial properties via SM 3.5
- Programming a number of GPUs
The resource code accompanying half II is gifted as reusable microbenchmarks and microdemos, designed to show particular features or spotlight particular use situations.
Part III, choose purposes, info particular households of CUDA purposes and key parallel algorithms, together with
- Streaming workloads
- Parallel prefix sum (Scan)
- Image Processing
These algorithms disguise the whole variety of strength CUDA purposes.
Read or Download CUDA Handbook: A Comprehensive Guide to GPU Programming, The PDF
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Extra info for CUDA Handbook: A Comprehensive Guide to GPU Programming, The
CUDA Handbook: A Comprehensive Guide to GPU Programming, The by Nicholas Wilt
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