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Release 1.1.0 Notes
tcojean edited this page Oct 16, 2019
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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 fixes, adds Windows support, adds support for factorization inside Ginkgo and a new ILU preconditioner based on ParILU factorization, among other things.
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.
Additions:
- Upper and lower triangular solvers (#327, #336, #341, #342)
- New factorization support in Ginkgo, and addition of the ParILU factorization (#305, #315, #319, #324)
- New ILU preconditioner (#348, #353)
- Windows MinGW and Cygwin support (#347)
- Windows Visual studio support (#351)
- New example showing how to use ParILU as a preconditioner (#358)
- New example on using loggers to debug Ginkgo (#360)
- Add two new 9t and 27 stencil examples (#300, #306)
- Allow benchmarking CuSPARSE spmv formats through Ginkgo's benchmarks (#303)
- New benchmark for conversions (#312, #317)
- Add conversions between CSR and Hybrid formats (#302, #310)
- Support sorting the CSR format also by column ids (#322)
- Addition of a CUDA COO SpMM kernel for improved performance (#345)
- Add a LinOp to handle perturbations of the form (identity + scalar * basis * projector) (#334)
- New sparsity matrix representation format with Reference and OpenMP kernels (#349, #350)
Fixes:
- Fix GMRES solver's performance on CUDA (#363)
- Fix BiCGSTAB solver convergence quality (#359)
- Fix CGS logging by reporting the residual for every sub iteration (#328)
- Fix CSR,Dense->Sellp conversion's memory access violation issue (#295)
- Accelerate CSR->Ell,Hybrid conversions on CUDA (#313, #318)
- Fixed slowdown of COO SpMV on OpenMP (#340)
- Fix gcc 6.4.0 internal compiler error (#316)
- Fix compilation issue on Apple clang++ 10 (#332)
- Make Ginkgo able to compile on Intel 2017 and above (#337)
- Fix self-written isfinite function (#348)
Tools and ecosystem:
- Multiple improvements to the CI system and tools (#296, #311, #365)
- Multiple improvements to the Ginkgo containers (#328, #361)
- Add sonarqube analysis to Ginkgo (#304, #308, #309)
- Add clang-tidy and iwyu support to Ginkgo (#298)
- Improve Ginkgo's support of xSDK M12 policy by adding the
TPL_
arguments to CMake (#300) - Add support for the xSDK R7 policy (#325)
Tutorial: Building a Poisson Solver
- Getting Started
- Implement: Matrices
- Implement: Solvers
- Optimize: Measuring Performance
- Optimize: Monitoring Progress
- Optimize: More Suitable Matrix Formats
- Optimize: Using a Preconditioner
- Optimize: Using GPUs
- Customize: Loggers
- Customize: Stopping Criterions
- Customize: Matrix Formats
- Customize: Solvers
- Customize: Preconditioners