Ebook: RenderScript: parallel computing on Android, the easy way
- Tags: Rendering & Ray Tracing, Graphics & Design, Computers & Technology, Parallel Programming, Programming, Computers & Technology, Programming & App Development, Mobile Phones Tablets & E-Readers, Computers & Technology
- Year: 2016
- Publisher: Alberto Marchetti
- Edition: 1
- Language: English
- epub
RenderScript: parallel computing on Android, the easy way provides a straightforward way to learn how to use the RenderScript parallel computing framework.
This is the first book on the market that covers as many RenderScript related topics as possible!
Basic and advanced topics are treated, ranging from parallel computing Kernels to the Android NDK integration, covering many aspects of RenderScript and targeting both newcomers and experienced users.
A general list of the treated topics is as follows:
Some possible applications of RenderScript are:
This is the first book on the market that covers as many RenderScript related topics as possible!
Basic and advanced topics are treated, ranging from parallel computing Kernels to the Android NDK integration, covering many aspects of RenderScript and targeting both newcomers and experienced users.
A general list of the treated topics is as follows:
- What is RenderScript, a general description of the framework.
- RenderScript components, like Kernels and Allocations.
- Performance notes, where different ways to perform calculations are benchmarked.
- Native analysis, or "what is under the hood".
- RenderScript and NDK, how to use the Android NDK together with RenderScript.
- Use cases, some examples of RenderScript usage.
- Porting case - FAST features detection, a big example that shows how to port a C++ library to work inside RenderScript kernels.
Some possible applications of RenderScript are:
- Wearable devices raw signals analysis, like Electromyography data and Electroencephalography data.
- Advanced image processing, like Multi Face Detection and Recognition and visual features extraction.
- Neural networks testing on mobile-phones, which requires a large number of parallel processes.
- Digital Signal Processing (e.g. sound analysis).
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