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The Ginkgo team is proud to announce the new minor release of Ginkgo version 1.1.0. This release brings several performance improvements, adds Windows support, adds support for factorizations inside Ginkgo and a new ILU preconditioner based on ParILU algorithm, among other things. For detailed information, check the respective issue. Supported systems and requirements: + For all platforms, cmake 3.9+ + Linux and MacOS + gcc: 5.3+, 6.3+, 7.3+, 8.1+ + clang: 3.9+ + Intel compiler: 2017+ + Apple LLVM: 8.0+ + CUDA module: CUDA 9.0+ + Windows + MinGW and CygWin: gcc 5.3+, 6.3+, 7.3+, 8.1+ + Microsoft Visual Studio: VS 2017 15.7+ + CUDA module: CUDA 9.0+, Microsoft Visual Studio + OpenMP module: MinGW or CygWin. The current known issues can be found in the [known issues page](https://github.com/ginkgo-project/ginkgo/wiki/Known-Issues). Additions: + Upper and lower triangular solvers ([#327](#327), [#336](#336), [#341](#341), [#342](#342)) + New factorization support in Ginkgo, and addition of the ParILU algorithm ([#305](#305), [#315](#315), [#319](#319), [#324](#324)) + New ILU preconditioner ([#348](#348), [#353](#353)) + Windows MinGW and Cygwin support ([#347](#347)) + Windows Visual studio support ([#351](#351)) + New example showing how to use ParILU as a preconditioner ([#358](#358)) + New example on using loggers for debugging ([#360](#360)) + Add two new 9pt and 27pt stencil examples ([#300](#300), [#306](#306)) + Allow benchmarking CuSPARSE spmv formats through Ginkgo's benchmarks ([#303](#303)) + New benchmark for sparse matrix format conversions ([#312](https://github.com/ginkgo-project/ginkgo/issues/312)[#317](https://github.com/ginkgo-project/ginkgo/issues/317)) + Add conversions between CSR and Hybrid formats ([#302](#302), [#310](#310)) + Support for sorting rows in the CSR format by column idices ([#322](#322)) + Addition of a CUDA COO SpMM kernel for improved performance ([#345](#345)) + Addition of a LinOp to handle perturbations of the form (identity + scalar * basis * projector) ([#334](#334)) + New sparsity matrix representation format with Reference and OpenMP kernels ([#349](#349), [#350](#350)) Fixes: + Accelerate GMRES solver for CUDA executor ([#363](#363)) + Fix BiCGSTAB solver convergence ([#359](#359)) + Fix CGS logging by reporting the residual for every sub iteration ([#328](#328)) + Fix CSR,Dense->Sellp conversion's memory access violation ([#295](#295)) + Accelerate CSR->Ell,Hybrid conversions on CUDA ([#313](#313), [#318](#318)) + Fixed slowdown of COO SpMV on OpenMP ([#340](#340)) + Fix gcc 6.4.0 internal compiler error ([#316](#316)) + Fix compilation issue on Apple clang++ 10 ([#322](#322)) + Make Ginkgo able to compile on Intel 2017 and above ([#337](#337)) + Make the benchmarks spmv/solver use the same matrix formats ([#366](#366)) + Fix self-written isfinite function ([#348](#348)) + Fix Jacobi issues shown by cuda-memcheck Tools and ecosystem: + Multiple improvements to the CI system and tools ([#296](#296), [#311](#311), [#365](#365)) + Multiple improvements to the Ginkgo containers ([#328](#328), [#361](#361)) + Add sonarqube analysis to Ginkgo ([#304](#304), [#308](#308), [#309](#309)) + Add clang-tidy and iwyu support to Ginkgo ([#298](#298)) + Improve Ginkgo's support of xSDK M12 policy by adding the `TPL_` arguments to CMake ([#300](#300)) + Add support for the xSDK R7 policy ([#325](#325)) + Fix examples in html documentation ([#367](#367))
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![Ginkgo](/assets/logo.png) | ||
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[![Build status](https://gitlab.com/ginkgo-project/ginkgo-public-ci/badges/master/build.svg)](https://github.com/ginkgo-project/ginkgo/commits/master) | ||
[![Coverage](https://codecov.io/gh/ginkgo-project/ginkgo/branch/master/graph/badge.svg)](https://codecov.io/gh/ginkgo-project/ginkgo) | ||
[![CDash dashboard](https://img.shields.io/badge/CDash-Access-blue.svg)](http://my.cdash.org/index.php?project=Ginkgo+Project) | ||
[![Documentation](https://img.shields.io/badge/Documentation-latest-blue.svg)](https://ginkgo-project.github.io/ginkgo/doc/master/) | ||
[![License](https://img.shields.io/github/license/ginkgo-project/ginkgo.svg)](LICENSE) | ||
[![License](https://img.shields.io/github/license/ginkgo-project/ginkgo.svg)](./LICENSE) | ||
[![c++ standard](https://img.shields.io/badge/c%2B%2B-11-blue.svg)](https://en.wikipedia.org/wiki/C%2B%2B#Standardization) | ||
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Ginkgo is a high-performance linear algebra library for manycore systems, with a | ||
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* C++11 compliant compiler, one of: | ||
* _gcc 5.3+, 6.3+, 7.3+, 8.1+_ | ||
* _clang 3.9+_ | ||
* _Intel compiler 2017+_ | ||
* _Apple LLVM 8.0+_ (__TODO__: verify) | ||
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The Ginkgo CUDA module has the following __additional__ requirements: | ||
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@@ -48,13 +48,32 @@ In addition, if you want to contribute code to Ginkgo, you will also need the | |
following: | ||
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* _clang-format 5.0.1+_ (ships as part of _clang_) | ||
* _clang-tidy_ (optional, when setting the flag `-DGINKGO_WITH_CLANG_TIDY=ON`) | ||
* _iwyu_ (Include What You Use, optional, when setting the flag `-DGINKGO_WITH_IWYU=ON`) | ||
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### Windows | ||
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Windows is currently not supported, but we are working on porting the library | ||
there. If you are interested in helping us with this effort, feel free to | ||
contact one of the developers. (The library itself doesn't use any non-standard | ||
C++ features, so most of the effort here is in modifying the build system.) | ||
The prequirement needs to be verified | ||
* _cmake 3.9+_ | ||
* C++11 compliant 64-bits compiler: | ||
* _MinGW : gcc 5.3+, 6.3+, 7.3+, 8.1+_ | ||
* _Cygwin : gcc 5.3+, 6.3+, 7.3+, 8.1+_ | ||
* _Microsoft Visual Studio : VS 2017 15.7+_ | ||
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__NOTE:__ Need to add `--autocrlf=input` after `git clone` in _Cygwin_. | ||
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The Ginkgo CUDA module has the following __additional__ requirements: | ||
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* _CUDA 9.0+_ | ||
* _Microsoft Visual Studio_ | ||
* Any host compiler restrictions your version of CUDA may impose also apply | ||
here. For the newest CUDA version, this information can be found in the | ||
[CUDA installation guide for Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) | ||
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The Ginkgo OMP module has the following __additional__ requirements: | ||
* _MinGW_ or _Cygwin_ | ||
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__NOTE:__ _Microsoft Visual Studio_ only supports OpenMP 2.0, so it can not compile the ginkgo OMP module. | ||
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__NOTE:__ Some restrictions will also apply on the version of C and C++ standard | ||
libraries installed on the system. This needs further investigation. | ||
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A unique feature of Ginkgo is the ability to run benchmarks and view your results | ||
with the help of the [Ginkgo Performance Explorer (GPE)](https://ginkgo-project.github.io/gpe/). | ||
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More details about this can be found in the [documentation](https://ginkgo-project.github.io/ginkgo/doc/master/) | ||
More details about this can be found in the [BENCHMARKING.md page](./BENCHMARKING.md) | ||
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Contributing to Ginkgo | ||
--------------------------- | ||
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#### Contributors | ||
I hereby place all my contributions in this codebase under a BSD-3-Clause | ||
license, as specified in the repository's [LICENSE](LICENSE) file. | ||
license, as specified in the repository's [LICENSE](./LICENSE) file. | ||
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Name Surname <email@domain> Institution(s) | ||
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@@ -113,11 +132,16 @@ Contributing guidelines can be accessed in our Wiki under the [Developer's | |
Homepage](https://github.com/ginkgo-project/ginkgo/wiki/Developers-Homepage). | ||
This page also contains other information useful to developers, such as writing | ||
proper commit messages, understanding Ginkgo's library design, relevant C++ | ||
information, and more. | ||
information, and more. In general, always refer to this page for developer | ||
information. | ||
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### Support | ||
If you have any question, bug to report or would like to propose a new feature, | ||
feel free to [create an | ||
issue on GitHub](https://github.com/ginkgo-project/ginkgo/issues/new). Another possibility | ||
is to send an email to [Ginkgo's main email address]([email protected]) | ||
or to contact any of the main [contributors](contributors.txt). | ||
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In general, always refer to this page for developer information. If you think | ||
that anything is missing, feel free to [create an | ||
issue](https://github.com/ginkgo-project/ginkgo/issues/new). | ||
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### Licensing | ||
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add_executable(conversions conversions.cpp) | ||
target_link_libraries(conversions ginkgo gflags rapidjson) |
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