The two Zhang papers describe the tridiagonal solvers. In Jakub Kurzak, David A. Davidson, and John D. Addison Wesley, August Morgan Kaufmann, August ACM Transactions on Graphics, 28 5: Also, for things like bit integer scans, precision often limits the useful maximum size. 
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The two Zhang papers describe the tridiagonal solvers.
Introduction
The Sengupta et al. This example is not currently working due to CUDA graphics interop changes. 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 is a library of data-parallel algorithm primitives such as parallel-prefix-sum "scan"parallel sort and parallel reduction. Overview Presentation A brief set of slides that describe the features, design principles, applications and impact of CUDPP is available: Addison Wesley, August We will be working on these issues for future releases.
In Graphics Hardwarepages 97—, August Active 5 years, 9 months ago. There is a known issue that the compile time for CUDPP is very long and the compiled library file size is very large.
We aim to provide best-of-class performance for fudpp primitives. Many researchers are using CUDPP in their work, and there are many publications that have used it references. There is a known cuvpp that the compile time for CUDPP is very long and the compiled library file size is very large.
We will be working on these issues for future releases. There is a known issue that the compile time for CUDPP is very long and the compiled library file size is very large. CUDPP is implemented as 4 layers: For details, please see the license page.
CUDPP: Building CUDPP
This example is not currently working due to CUDA graphics interop changes. Non source-code content such as documentation, web pages, etc.
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To that end we have made the following design decisions: The SAT is then used to simulate depth of field blur. Overview Presentation A brief set of slides that describe the features, design principles, applications and impact of CUDPP is available here: For details, please see the license page. 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 is provided as a library that can link against other applications. To that end we have made the following design decisions: Davidson, and John D. Programmers may use any of the lower three CUDPP layers in their own programs by building the source directly into their application.
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We want our primitives to be easily included in other applications. We have seen "invalid configuration" errors when running SM The SAT is then used to simulate depth of field blur.
Email Required, but never shown. For more information, visit our test results page. Morgan Kaufmann, August
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