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 from ...
Get Java for Data Science now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
