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CUDPP

View CUDPP on GitHub cudpp/cudpp. 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.

http://cudpp.github.io/

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CUDPP | cudpp.github.io Reviews

https://cudpp.github.io

View CUDPP on GitHub cudpp/cudpp. 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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cudpp.github.io cudpp.github.io
1

CUDPP: CUDPP documentation

http://cudpp.github.io/cudpp/2.3

CUDPP   2.3. CUDA Data-Parallel Primitives Library. CUDPP is the 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. Homepage for CUDPP: http:/ cudpp.github.io/. Cudpp hash testrig,...

2

CUDPP: A Simple CUDPP Example

http://cudpp.github.io/cudpp/2.3/example_simple_c_u_d_p_p.html

CUDPP   2.3. CUDA Data-Parallel Primitives Library. A Simple CUDPP Example. This code sample demonstrates a basic usage of CUDPP for computing the parallel prefix sum of a floating point array on the GPU. The simpleCUDPP sample is the "hello" world example for CUDPP. Its aim is to show you how to initialize, run, and shut down CUDPP functions. The main function in simpleCUDPP.cu is. And initializes the data it contains with some random values between 0 and 15. DeviceCount = 0) {. Pos = arg.find( =. Resul...

3

CUDPP 2.1 Released!

http://cudpp.github.io/releases/2013/10/09/cudpp-2-1-released.html

View CUDPP on GitHub cudpp/cudpp. CUDPP 2.1 Released! CUDPP release 2.1 is a feature release that adds many new parallel primitives. We have added cudppCompress. A lossless data compression algorithm. This compression utilizes efficient parallel Burrows-Wheeler and Move-to-Front transforms which are also exposed through the API. In addition, the library now contains two new sorting algorithms, cudppMergeSort. Adding to the existing radix sort. Minor code refactoring and build time fixes were completed.

4

CUDPP 2.0 Released!

http://cudpp.github.io/releases/2011/08/09/cudpp-2-0-released.html

View CUDPP on GitHub cudpp/cudpp. CUDPP 2.0 Released! CUDPP release 2.0 is a major new release of the CUDPP library, with exciting new features. The public interface has undergone a minor redesign to provide thread safety. Parallel reductions ( cudppReduce. And a tridiagonal system solver ( cudppTridiagonal. Have been added, and a new component library, cudpp hash. For a complete list of changes, see the change log. Hosted on GitHub Pages — Theme by orderedlist.

5

CUDPP 2.3 Released!

http://cudpp.github.io/releases/2016/11/30/cudpp-2-3-released.html

View CUDPP on GitHub cudpp/cudpp. CUDPP 2.3 Released! CUDPP release 2.3 is a feature release that adds the new cudppMultiSplit. Parallel primitive. This function takes as input an array of elements (unsigned ints) and outputs an array where the elements have been split into ordered buckets. A second version of this function, cudppMutliSplitCustomBucketMapper. Allows the user to specify a custom function that assigns an element to a bucket. A full list of changes can be viewed in the change log.

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jcuda.org - JCudpp

http://www.jcuda.de/jcuda/jcudpp/JCudpp.html

Java bindings for CUDPP. This library enables Java applications to use the public interface of CUDPP, the CUDA Data Parallel Primitives Library. Version 2.0, which contains methods for sparse-matrix-vector-multiplications, parallel scans and sorting, as well as methods for maintaining a hash table on the device. For simplicity, error checks are omitted here). The right side shows the same operation performed with JCudpp. The workflow and the involved operations are quite similar. Simple CUDPP in C. TheCu...

jcuda.com jcuda.com

jcuda.org - JCudpp

http://www.jcuda.com/jcuda/jcudpp/JCudpp.html

Java bindings for CUDPP. This library enables Java applications to use the public interface of CUDPP, the CUDA Data Parallel Primitives Library. Version 2.0, which contains methods for sparse-matrix-vector-multiplications, parallel scans and sorting, as well as methods for maintaining a hash table on the device. For simplicity, error checks are omitted here). The right side shows the same operation performed with JCudpp. The workflow and the involved operations are quite similar. Simple CUDPP in C. TheCu...

jcuda.org jcuda.org

jcuda.org - JCudpp

http://www.jcuda.org/jcuda/jcudpp/JCudpp.html

Java bindings for CUDPP. This library enables Java applications to use the public interface of CUDPP, the CUDA Data Parallel Primitives Library. Version 2.0, which contains methods for sparse-matrix-vector-multiplications, parallel scans and sorting, as well as methods for maintaining a hash table on the device. For simplicity, error checks are omitted here). The right side shows the same operation performed with JCudpp. The workflow and the involved operations are quite similar. Simple CUDPP in C. TheCu...

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cudpp.github.io cudpp.github.io

CUDPP

View CUDPP on GitHub cudpp/cudpp. 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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