34 lines
2.3 KiB
Markdown
34 lines
2.3 KiB
Markdown
## Mailing list
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We have a [GitHub discussions](https://github.com/OpenMathLib/OpenBLAS/discussions/) forum to discuss usage and development of OpenBLAS. We also have a [Google group for *users*](https://groups.google.com/forum/#!forum/openblas-users) and a [Google group for *development of*](https://groups.google.com/forum/#!forum/openblas-dev) OpenBLAS.
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## Donations
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You can read OpenBLAS statement of receipts and disbursement and cash balance on [google doc](https://docs.google.com/spreadsheet/ccc?key=0AghkTjXe2lDndE1UZml0dGpaUzJmZGhvenBZd1F2R1E&usp=sharing). A backer list is available [on GitHub](https://github.com/OpenMathLib/OpenBLAS/blob/develop/BACKERS.md).
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We welcome the hardware donation, including the latest CPU and boards.
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## Acknowledgements
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This work is partially supported by
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* Research and Development of Compiler System and Toolchain for Domestic CPU, National S&T Major Projects: Core Electronic Devices, High-end General Chips and Fundamental Software (No.2009ZX01036-001-002)
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* National High-tech R&D Program of China (Grant No.2012AA010903)
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## Users of OpenBLAS
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* <a href='http://julialang.org/'>Julia - a high-level, high-performance dynamic programming language for technical computing</a><br />
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* Ceemple v1.0.3 (C++ technical computing environment), including OpenBLAS, Qt, Boost, OpenCV and others. The only solution with immediate-recompilation of C++ code. Available from <a href='http://www.ceemple.com'>Ceemple C++ Technical Computing</a>.
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* [netlib-java](https://github.com/fommil/netlib-java) and various upstream libraries, allowing OpenBLAS to be used from languages on the Java Virtual Machine.
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<!-- TODO: academia users, industry users, hpc centers deployed openblas, etc. -->
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## Publications
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### 2013
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* Wang Qian, Zhang Xianyi, Zhang Yunquan, Qing Yi, **AUGEM: Automatically Generate High Performance Dense Linear Algebra Kernels on x86 CPUs**, In the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'13), Denver CO, November 2013. [[pdf](http://xianyi.github.io/paper/augem_SC13.pdf)]
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### 2012
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* Zhang Xianyi, Wang Qian, Zhang Yunquan, **Model-driven Level 3 BLAS Performance Optimization on Loongson 3A Processor**, 2012 IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS), 17-19 Dec. 2012.
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