Awesome-CUDA
This is a list of useful libraries and resources for CUDA development.
https://github.com/Erkaman/Awesome-CUDA
Last synced: 13 days ago
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Presentations
- Fun With Parallel Algorithms. Segmented Scan. Neutral territory method - In these slides, it is shown how a segmented scan can easily be implemented using a variation of a normal scan.
- GPU/CPU Programming for Engineers - Lecture 13 - This lecture provides a good walkthrough of all the different memory types: Global Memory, Texture Memory, Constant Memory, Shared Memory, Registers and Local Memory.
- Optimizing Parallel Reduction in CUDA - In this presentation it is shown how a fast, but relatively simple, reduction
- CUDA C/C++ BASICS - This presentations explains the concepts of CUDA kernels,
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Libraries
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Papers
- Multireduce and Multiscan on Modern GPUs - In this
- Efficient Parallel Scan Algorithms for Many-core GPUs - In this paper, it is shown how the scan and segmented scan algorithms
- Ana Balevic's homepage - Ana Balevic has done research in implementing compression
- Efficient Stream Compaction on Wide SIMD Many-Core Architectures - The paper that the chag::pp library is based on.
- Histogram calculation in CUDA - This article explains how a histogram can be calculated in CUDA.
- Modern GPU - Modern GPU
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Articles
- - It is shown in this article how the reduction algorithm described by [Mark
- GPU Pro Tip: Fast Histograms Using Shared Atomics on Maxwell - It is shown how we can use shared memory atomics to implement a faster histogram implementation on Maxwell.
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