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ORCIDMahdi Soltan Mohammadi
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2020 – today
- 2020
[b1]Mahdi Soltan Mohammadi:
Automatic Sparse Computation Parallelization by Utilizing Domain-Specific Knowledge in Data Dependence Analysis. University of Arizona, Tucson, USA, 2020- [c4]Mahdi Soltan Mohammadi, Mary W. Hall
, Michelle Mills Strout:
Expanding Opportunities for Array Privatization in Sparse Computations. LCPC 2020: 29-37
2010 – 2019
- 2019
- [c3]Mahdi Soltan Mohammadi, Tomofumi Yuki, Kazem Cheshmi, Eddie C. Davis, Mary W. Hall, Maryam Mehri Dehnavi, Payal Nandy, Catherine Olschanowsky, Anand Venkat, Michelle Mills Strout:
Sparse computation data dependence simplification for efficient compiler-generated inspectors. PLDI 2019: 594-609 - 2018
- [c2]Mahdi Soltan Mohammadi, Kazem Cheshmi, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout:
Extending Index-Array Properties for Data Dependence Analysis. LCPC 2018: 78-93 - [i2]Mahdi Soltan Mohammadi, Kazem Cheshmi, Ganesh Gopalakrishnan, Mary W. Hall, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout:
Sparse Matrix Code Dependence Analysis Simplification at Compile Time. CoRR abs/1807.10852 (2018) - 2017
- [i1]Benjamin Gaska, Neha Jothi, Mahdi Soltan Mohammadi, Kat Volk, Michelle Mills Strout:
Handling Nested Parallelism and Extreme Load Imbalance in an Orbital Analysis Code. CoRR abs/1707.09668 (2017) - 2016
- [c1]Anand Venkat, Mahdi Soltan Mohammadi, Jongsoo Park, Hongbo Rong, Rajkishore Barik, Michelle Mills Strout, Mary W. Hall:
Automating wavefront parallelization for sparse matrix computations. SC 2016: 480-491
Coauthor Index
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