Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix CGS logging and update containers #328

Merged
merged 2 commits into from
Aug 1, 2019
Merged

Fix CGS logging and update containers #328

merged 2 commits into from
Aug 1, 2019

Conversation

tcojean
Copy link
Member

@tcojean tcojean commented Aug 1, 2019

This is a small PR which fixes a small problem with the way CGS is logged and updates the containers. Here are the description of the two commits:

CGS logging

Report subiteration residuals through iteration_complete for CGS.

  • Previously, when running the CGS solver for 100 iterations only 50 residuals
    would be reported because one loop does two iterations.
  • Currently, the same residual and solution vectors are reported twice as
    these are computed only every two iterations (once per loop run).

Container update

Update the containers with new functionalities.

  • Add Ubuntu 18.04 support for CUDA containers (cuda 9.2 and more supported only).
  • Correctly set the environment variables with CUDA paths
  • Add support for automake, pkg-config and libtool.
  • Add hwloc support and integrate a topology file of the machine. This has to be
    done since hwloc has trouble finding CUDA devices inside the container.

+ Previously, when running the CGS solver for 100 iterations only 50 residuals
would be reported because one loop does two iterations.
+ Currently, the same residual and solution vectors are reported twice as
these are computed only every two iterations (once per loop run).
+ Add Ubuntu 18.04 support for CUDA containers (cuda 9.2 and more supported only).
+ Correctly set the environment variables with CUDA paths
+ Add support for automake, pkg-config and libtool.
+ Add hwloc support and integrate a topology file of the machine. This has to be
done since hwloc has trouble finding CUDA devices inside the container.
@tcojean tcojean added is:bug Something looks wrong. reg:ci-cd This is related to the continuous integration system. mod:core This is related to the core module. type:solver This is related to the solvers labels Aug 1, 2019
@tcojean tcojean self-assigned this Aug 1, 2019
@codecov
Copy link

codecov bot commented Aug 1, 2019

Codecov Report

Merging #328 into develop will decrease coverage by 9.98%.
The diff coverage is 100%.

Impacted file tree graph

@@             Coverage Diff             @@
##           develop     #328      +/-   ##
===========================================
- Coverage    98.24%   88.26%   -9.99%     
===========================================
  Files          225      250      +25     
  Lines        17561    19549    +1988     
===========================================
+ Hits         17252    17254       +2     
- Misses         309     2295    +1986
Impacted Files Coverage Δ
core/solver/cgs.cpp 100% <100%> (ø) ⬆️
cuda/base/cusparse_bindings.hpp 35% <0%> (-65%) ⬇️
include/ginkgo/core/base/lin_op.hpp 90.9% <0%> (-9.1%) ⬇️
include/ginkgo/core/base/executor.hpp 93.47% <0%> (-2.08%) ⬇️
include/ginkgo/core/base/range.hpp 98.73% <0%> (-1.27%) ⬇️
examples/ginkgo-overhead/ginkgo-overhead.cpp 0% <0%> (ø)
benchmark/utils/general.hpp 0% <0%> (ø)
...ples/custom-matrix-format/custom-matrix-format.cpp 0% <0%> (ø)
examples/custom-logger/custom-logger.cpp 0% <0%> (ø)
cuda/base/types.hpp 0% <0%> (ø)
... and 20 more

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 260f6ac...1ed8645. Read the comment docs.

Copy link
Member

@pratikvn pratikvn left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM!

@tcojean tcojean merged commit 55589f8 into develop Aug 1, 2019
@tcojean tcojean deleted the fix_cgs_logging branch August 1, 2019 15:38
tcojean added a commit that referenced this pull request Oct 20, 2019
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))
tcojean added a commit that referenced this pull request Oct 21, 2019
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 improvements
+ 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))


Related PR: #370
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
is:bug Something looks wrong. mod:core This is related to the core module. reg:ci-cd This is related to the continuous integration system. type:solver This is related to the solvers
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants