Mahdi Soltan Mohammadi
Mahdi Soltan Mohammadi
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Automating wavefront parallelization for sparse matrix computations
A Venkat, MS Mohammadi, J Park, H Rong, R Barik, MM Strout, M Hall
SC'16: Proceedings of the International Conference for High Performance …, 2016
392016
Sparse computation data dependence simplification for efficient compiler-generated inspectors
MS Mohammadi, T Yuki, K Cheshmi, EC Davis, M Hall, MM Dehnavi, ...
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019
72019
Towards Affordable Computing: SiftCU a Simple but Elegant GPU-based Implementation of SIFT
MS Mohammadi, M Rezaeian
International Journal of Computer Applications 90 (7), 30-37, 2014
72014
Abstractions for Specifying Sparse Matrix Data Transformations
P Nandy, M Hall, EC Davis, C Olschanowsky, MS Mohammadi, W He, ...
8th International Workshop on Polyhedral Compilation Techniques, 2018
62018
SiftCU: An Accelerated CUDA Based Implementation of SIFT
M Soltan Mohammadi, M Rezaeian
Third Symposium on Computer Science and Software Engineering, Sharif …, 2013
4*2013
Extending index-array properties for data dependence analysis
MS Mohammadi, K Cheshmi, MM Dehnavi, A Venkat, T Yuki, MM Strout
International Workshop on Languages and Compilers for Parallel Computing, 78-93, 2018
22018
Sparse Matrix Code Dependence Analysis Simplification at Compile Time
MS Mohammadi, K Cheshmi, G Gopalakrishnan, M Hall, MM Dehnavi, ...
arXiv preprint arXiv:1807.10852, 2018
2018
Handling Nested Parallelism and Extreme Load Imbalance in an Orbital Analysis Code
BJ Gaska, N Jothi, MS Mohammadi, K Volk, MM Strout
arXiv preprint arXiv:1707.09668, 2017
2017
SiftD: A CPU & GPU distributed hybrid system for SIFT
M Soltan Mohammadi, M Rezaeian
Telecommunications (IST), 2014 7th International Symposium on, 613-618, 2014
2014
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Artikelen 1–9