cudpp github.io

CUDPP

View CUDPP on GitHub cudppcudpp. CUDA Data Parallel Primitives Library. CUDPP is a library of data-parallel algorithm primitives such as parallel prefix-sum scan, parallel sort, and parallel reduction. Primitives such as these are important building blocks for a wide variety of data-parallel algorithms, including sorting, stream compaction, and building data structures such as trees and summed-area tables. CUDPP runs on processors that support CUDA. A good place to start is the simpleCUDPP Example.
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LINKS TO CUDPP.GITHUB.IO

jcuda.org - Java bindings for CUDA

To use these libraries, you need a CUDA-enabled GPU device and the NVIDIA driver with CUDA support and the CUDA Toolkit. Feel free to post your questions and discuss all aspects of JCuda there. Apart from that, any feedback. That helps to improve JCuda is welcome.

jcuda.org - Java bindings for CUDA

To use these libraries, you need a CUDA-enabled GPU device and the NVIDIA driver with CUDA support and the CUDA Toolkit. Feel free to post your questions and discuss all aspects of JCuda there. Apart from that, any feedback. That helps to improve JCuda is welcome.

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SITE TITLE

CUDPP

DESCRIPTION

View CUDPP on GitHub cudppcudpp. CUDA Data Parallel Primitives Library. CUDPP is a library of data-parallel algorithm primitives such as parallel prefix-sum scan, parallel sort, and parallel reduction. Primitives such as these are important building blocks for a wide variety of data-parallel algorithms, including sorting, stream compaction, and building data structures such as trees and summed-area tables. CUDPP runs on processors that support CUDA. A good place to start is the simpleCUDPP Example.

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The site had the following in the web page, "CUDA Data Parallel Primitives Library." I observed that the web site stated " CUDPP is a library of data-parallel algorithm primitives such as parallel prefix-sum scan, parallel sort, and parallel reduction." They also stated " Primitives such as these are important building blocks for a wide variety of data-parallel algorithms, including sorting, stream compaction, and building data structures such as trees and summed-area tables. CUDPP runs on processors that support CUDA. A good place to start is the simpleCUDPP Example."

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