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ORCIDKazem Cheshmi
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2020 – today
- 2024
[i6]Mohammad Mahdi Salehi Dezfuli, Kazem Cheshmi:
Improving Locality in Sparse and Dense Matrix Multiplications. CoRR abs/2407.00243 (2024)- 2023
- [j2]Lucas Wilkinson
, Kazem Cheshmi, Maryam Mehri Dehnavi:
Register Tiling for Unstructured Sparsity in Neural Network Inference. Proc. ACM Program. Lang. 7(PLDI): 1995-2020 (2023) - [c13]Kazem Cheshmi, Michelle Strout, Maryam Mehri Dehnavi:
Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence. SC 2023: 89:1-89:15 - 2022
- [c12]Behrooz Zarebavani, Kazem Cheshmi, Bangtian Liu, Michelle Mills Strout, Maryam Mehri Dehnavi:
HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations. IPDPS 2022: 1217-1227 - [c11]Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi:
Optimizing sparse computations jointly. PPoPP 2022: 459-460 - [c10]Kazem Cheshmi, Zachary Cetinic, Maryam Mehri Dehnavi:
Vectorizing Sparse Matrix Computations with Partially-Strided Codelets. SC 2022: 32:1-32:15 - 2021
- [i5]Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi:
Composing Loop-carried Dependence with Other Loops. CoRR abs/2111.12238 (2021) - [i4]Zachary Cetinic, Kazem Cheshmi, Maryam Mehri Dehnavi:
Differentiating-based Vectorization for Sparse Kernels. CoRR abs/2111.12243 (2021) - 2020
- [j1]Kazem Cheshmi, Danny M. Kaufman, Shoaib Kamil, Maryam Mehri Dehnavi:
NASOQ: numerically accurate sparsity-oriented QP solver. ACM Trans. Graph. 39(4): 96 (2020) - [c9]Bangtian Liu, Kazem Cheshmi, Saeed Soori, Michelle Mills Strout, Maryam Mehri Dehnavi:
MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation. PPoPP 2020: 389-402
2010 – 2019
- 2019
- [c8]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
- [c7]Kazem Cheshmi, Leila Cheshmi, Maryam Mehri Dehnavi:
Sparsity-Aware Storage Format Selection. HPCS 2018: 1034-1037 - [c6]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 - [c5]Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi:
ParSy: inspection and transformation of sparse matrix computations for parallelism. SC 2018: 62:1-62:15 - [i3]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) - [i2]Bangtian Liu, Kazem Cheshmi, Saeed Soori, Maryam Mehri Dehnavi:
MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations. CoRR abs/1812.07152 (2018) - 2017
- [c4]Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi:
Sympiler: transforming sparse matrix codes by decoupling symbolic analysis. SC 2017: 13 - [i1]Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi:
Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis. CoRR abs/1705.06575 (2017) - 2015
- [c3]Kazem Cheshmi, Siamak Mohammadi, Daniel Versick, Djamshid Tavangarian, Jelena Trajkovic:
A Clustered GALS NoC Architecture with Communication-Aware Mapping. PDP 2015: 425-429 - 2014
- [c2]Sébastien Le Beux, Hui Li, Ian O'Connor, Kazem Cheshmi, Xuchen Liu, Jelena Trajkovic, Gabriela Nicolescu:
Chameleon: Channel efficient Optical Network-on-Chip. DATE 2014: 1-6 - 2013
- [c1]Kazem Cheshmi, Mohammadreza Soltaniyeh, Siamak Mohammadi, Jelena Trajkovic:
Quota setting router architecture for quality of service in GALS NoC. RSP 2013: 44-50
Coauthor Index
aka: Michelle Strout
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