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* Made ATOMIC_ADD2_GLOBAL more conditional/prohibitive.
* Fixed potential compiler warning.
* Fixed tracking indexes.

Improvements of built-in validation
* Use consistent expression for tolerance/check and console output (dbcsr_test_multiply.F).
* Limit OPENCL_LIBSMM_DEBUG to OPENCL_LIBSMM_DEBUG_SMM by default.
* Rely on single scratch buffer in case of debug/validation.
* Introduced OPENCL_LIBSMM_DEBUG_EXIT.
* Reduced/more focused debug output.

Omit reloading the same B-matrix from global memory by copying B-tile into private memory.
* Avoiding to load same B-tile seems to be not beneficial (disabled).
fafe19e

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DBCSR: Distributed Block Compressed Sparse Row matrix library

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DBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations. It is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP.

How to Install

Follow the installation guide.

Documentation

Documentation is available online for the latest release.

How to Cite

To cite DBCSR, use the following paper

@article{dbcsr,
	title = {{Sparse Matrix Multiplication: The Distributed Block-Compressed Sparse Row Library}},
	journal = {Parallel Computing},
	volume = {40},
	number = {5-6},
	year = {2014},
	issn = {0167-8191},
	author = {Urban Borstnik and Joost VandeVondele and Valery Weber and Juerg Hutter}
}

To cite the DBCSR software library, use:

@misc{dbcsr-software,
	author = {The CP2K Developers Group},
	title = {{DBCSR: Distributed Block Compressed Sparse Row matrix library}},
	publisher = {GitHub},
	journal = {GitHub repository},
	year = {2020},
	url = {https://github.com/cp2k/dbcsr}
}

Contributing to DBCSR

Your contribution to the project is welcome! Please see DBCSR's contribution guidelines and this wiki page. For any help, please notify the other developers.