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docs: address review comments on PR 4774
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docs/about.md

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@@ -8,6 +8,7 @@ This work was or is partially supported by the following grants, contracts and i
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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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* [PerfXLab](http://www.perfxlab.com/)
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* Chan Zuckerberg Initiative's Essential Open Source Software for Science program:
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* Cycle 1 grant: [Strengthening NumPy's foundations - growing beyond code](https://figshare.com/articles/journal_contribution/Proposal_NumPy_OpenBLAS_for_Chan_Zuckerberg_Initiative_EOSS_2019_round_1/10302167) (2019-2020)
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* Cycle 3 grant: [Improving usability and sustainability for NumPy and OpenBLAS](https://chanzuckerberg.com/eoss/proposals/improving-usability-and-sustainability-for-numpy-and-openblas/) (2020-2021)
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We welcome hardware donations, including the latest CPUs and motherboards.
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## Users of OpenBLAS
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## Open source users of OpenBLAS
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Prominent open source users of OpenBLAS include:
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docs/user_manual.md

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The OpenBLAS documentation does not contain API reference documentation for
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BLAS or LAPACK, since these are standardized APIs, the documentation for
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which can be found in other places. If you want to understand every BLAS
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function and definition, we recommend reading the
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[Intel MKL reference manual](https://software.intel.com/en-us/intel-mkl/documentation)
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or the [Netlib BLAS documentation](http://netlib.org/blas/).
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and LAPACK function and definition, we recommend reading the
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[Netlib BLAS ](http://netlib.org/blas/) and [Netlib LAPACK](http://netlib.org/lapack/)
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documentation.
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OpenBLAS does contain a limited number of functions that are non-standard,
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these are documented at [OpenBLAS extension functions](extensions.md).

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