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OverviewCUDPP 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. CUDPP runs on processors that support CUDA. For detailed information, see the CUDPP Documentation. A good place to start is the simpleCUDPP Example. NewsCUDPP 2.0 Released!9 August 2011 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, provides fast data-parallel hash table functionality. In addition, support for 64-bit data types (double as well as long long and unsigned long long) has been added to all CUDPP algorithms, and a variety of bugs have been fixed. For a complete list of changes, see the change log. CUDPP 1.1.1 Released!29 April 2010 CUDPP release 1.1.1 is a bugfix release with fixes for scan, segmented scan, stream compaction, and radix sort on the NVIDIA Fermi (sm_20) architecture, including GeForce 400 series and Tesla 20 series GPUs. It also includes improvements and bugfixes for radix sorts on 64-bit OSes, and fixes for 64-bit builds on MS Windows OSes and Apple OS X 10.6 (Snow Leopard). Change Log.
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