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This is an archived project. Repository and other project resources are read-only.
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TNL
tnl-dev
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Created with Raphaël 2.2.0
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Tunning comments in String.h.
Added comment to String constructor.
Added to Array documentation.
Continued in Array documentation.
Strarted with Array documentation.
Reformatted code.
Commented out all instances of setCompressedRowLengthstest.
Commented out the body of getNonZeroElements() and the associated kernel. To be implemented.
Added back all formats for testing, except for AdEllpack and BiEllpack.
Commented out setCompressedRowLengthsTest.
Set CUDA_ARCH_HOST_COMPILER to in the build script
Improved Object documentation.
Added ListExample.
Moved getNonZeroRowLengthCudaKernal to SparseRow_impl.h and indentified errors in SparseRow_impl.h . Commiting for backup purposes.
Added ListExample and ConfigDescriptionExample.
Added LoggerExample.
Deleted useless code, reformatted present code. Still have issues with getNonZeroRowLength. getRow() throws SegFault and so does resultCuda. Commiting for backup purposes.
Commented out unnecessary tests for testing of CUDA function getNonZeroRowLength.
Attempted to fix non-working CUDA code for getting non-zero elements of
Added explanation of __cuda_callable__
Added ConfigDescription documenattion.
Added computing of non-zero elements in matrix row for CUDA.
Fixed unclosed comment in Assert.h
Re-added back all tests, including CPU and GPU. Re-added multi row lengths. Commiting for backup purposes.
Changed implementation of method. Commiting for backup purposes.
Added ConfigDescription documentation and added small changes in Object, Math and ParameterContainer.
Added Object documentation.
Improved documentation of Containers/List.
Changed implementation of getting Non-Zero elements. Added problem to comments. Commiting for backup purposes.
Added elements into set compressed row lengths to test getNonZeroElements correctly. Set the row length to the same value, for easier testing. Commiting for backup purposes.
Commented out tests that are not needed to solve issues with CUDA illegal memory access.
Reformatted getNonZeroRowLength to pass on the device Type in string and thus enable the lambda in SparseRow_impl.h
Modified the ParameterContainer documentation.
Added Assert documentation.
Tried using std::vector to avoid having to implement DeviceType into SparseRow. Commiting for backup purposes.
Added getNonZeroRowLength for backup purposes.
Merge branch 'hamilton-jacobi' into 'develop'
Deleting legacy code.
Moving old code to Legacy.
Merge branch 'hamilton-jacobi' of mmg-gitlab.fjfi.cvut.cz:tnl/tnl-dev into hamilton-jacobi
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