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The AMD JavaLabs team announced the open source release of Aparapi project for Java-OpenCL
Mon, 2011-11-07, 20:30
"Aparapi is an API for expressing data parallel workloads in Java and a runtime component capable of converting the Java bytecode of compatible workloads into OpenCL™ so that it can be executed on a variety of GPU devices.
Originally an AMD product, Aparapi was released to open source on September 14, 2011. ReadGary Frost’s blog to learn more.
- To download Aparapi or contribute to the project, please visit the open source project site athttp://code.google.com/p/aparapi/.
- "
Sat, 2011-11-12, 23:07
#2
Re: The AMD JavaLabs team announced the open source release of A
monster googlemail.com> writes:
>
> How does that compare to JavaCL and ScalaCL? Is it truly hardware-
> independent, since it comes from one specific hardware maker?
>
>
Aparapi supports any OpenCL 1.1 compatible runtime/device. The initial version
only supported AMD devices, the first patch added MacOS support and relaxed the
restriction. It will work with AMD, NVidia and Intel OpenCL runtimes.
Full disclosure, I am the Aparapi developer.
Mon, 2011-11-14, 17:17
#3
Re: Re: The AMD JavaLabs team announced the open source release
Well start,here is another excellent technology to utilize the GPGPU for Java:http://www.ateji.com/px/java-on-gpu.html
2011/11/13 Gary Frost <frost.gary@gmail.com>
--
SolomonHUAWEIGoogle+: Qihui Sun
2011/11/13 Gary Frost <frost.gary@gmail.com>
monster <skunkiferous <at> googlemail.com> writes:
>
> How does that compare to JavaCL and ScalaCL? Is it truly hardware-
> independent, since it comes from one specific hardware maker?
>
>
Aparapi supports any OpenCL 1.1 compatible runtime/device. The initial version
only supported AMD devices, the first patch added MacOS support and relaxed the
restriction. It will work with AMD, NVidia and Intel OpenCL runtimes.
Full disclosure, I am the Aparapi developer.
--
SolomonHUAWEIGoogle+: Qihui Sun
Mon, 2011-11-14, 23:37
#4
Re: The AMD JavaLabs team announced the open source release of A
After installing the latest gpu driver with OpenCL 1.1 support
( http://developer.nvidia.com/opencl ）the aparapi examples detected my
gpu.
Would be nice if it somehow could work with Scala parallel
collections.
I have now 2 core cpu and 8 CUDA cores gpu.
Then I would have 10 logical processors :D
How does that compare to JavaCL and ScalaCL? Is it truly hardware-
independent, since it comes from one specific hardware maker?