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Java: Data Science Made Easy
book

Java: Data Science Made Easy

by Richard M. Reese, Jennifer L. Reese, Alexey Grigorev
July 2017
Beginner to intermediate
715 pages
17h 3m
English
Packt Publishing
Content preview from Java: Data Science Made Easy

Using Aparapi

Aparapi (https://github.com/aparapi/aparapi) is a Java library that supports concurrent operations. The API supports code running on GPUs or CPUs. GPU operations are executed using OpenCL, while CPU operations use Java threads. The user can specify which computing resource to use. However, if GPU support is not available, Aparapi will revert to Java threads.

The API will convert Java byte codes to OpenCL at runtime. This makes the API largely independent from the graphics card used. The API was initially developed by AMD but has been released as open source. This is reflected in the basic package name, com.amd.aparari. Aparapi offers a higher level of abstraction than provided by OpenCL.

Aparapi code is located in a class derived ...

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Publisher Resources

ISBN: 9781788475655Supplemental Content