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Journal Articles
- 2024
[j12]Marjan Asgari, Wanhong Yang, John B. Lindsay, Hui Shao, Yongbo Liu, Rodrigo de Queiroga Miranda, Maryam Mehri Dehnavi:
Corrigendum to "Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models" [Environ. Model. Software 164 (2023) 105708]. Environ. Model. Softw. 175: 105822 (2024)- [j11]Avery Laird
, Bangtian Liu, Nikolaj Bjørner, Maryam Mehri Dehnavi:
SpEQ: Translation of Sparse Codes using Equivalences. Proc. ACM Program. Lang. 8(PLDI): 1680-1703 (2024) - 2023
- [j10]Marjan Asgari, Wanhong Yang, John B. Lindsay, Hui Shao, Yongbo Liu, Rodrigo de Queiroga Miranda, Maryam Mehri Dehnavi:
Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models. Environ. Model. Softw. 164: 105708 (2023) - [j9]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) - 2022
- [j8]Marjan Asgari, Wanhong Yang, John B. Lindsay, Bryan A. Tolson, Maryam Mehri Dehnavi:
A review of parallel computing applications in calibrating watershed hydrologic models. Environ. Model. Softw. 151: 105370 (2022) - [j7]Bugra Can, Saeed Soori, Necdet Serhat Aybat, Maryam Mehri Dehnavi, Mert Gürbüzbalaban:
Randomized Gossiping With Effective Resistance Weights: Performance Guarantees and Applications. IEEE Trans. Control. Netw. Syst. 9(2): 524-536 (2022) - 2020
- [j6]Kazem Cheshmi, Danny M. Kaufman, Shoaib Kamil, Maryam Mehri Dehnavi:
NASOQ: numerically accurate sparsity-oriented QP solver. ACM Trans. Graph. 39(4): 96 (2020) - 2017
- [j5]Ekanathan Palamadai Natarajan, Maryam Mehri Dehnavi, Charles E. Leiserson:
Autotuning divide-and-conquer stencil computations. Concurr. Comput. Pract. Exp. 29(17) (2017) - 2015
- [j4]Yousef El-Kurdi, Maryam Mehri Dehnavi, Warren J. Gross, Dennis Giannacopoulos:
Parallel finite element technique using Gaussian belief propagation. Comput. Phys. Commun. 193: 38-48 (2015) - 2014
- [j3]Muhammad Bilal Qureshi, Maryam Mehri Dehnavi, Nasro Min-Allah, Muhammad Shuaib Qureshi, Hameed Hussain, Ilias Rentifis, Nikos Tziritas, Thanasis Loukopoulos, Samee Ullah Khan, Cheng-Zhong Xu, Albert Y. Zomaya:
Survey on Grid Resource Allocation Mechanisms. J. Grid Comput. 12(2): 399-441 (2014) - [j2]Yang You, Haohuan Fu, Shuaiwen Leon Song, Maryam Mehri Dehnavi, Lin Gan, Xiaomeng Huang, Guangwen Yang:
Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax-Wendroff correction stencil. Int. J. High Perform. Comput. Appl. 28(3): 301-318 (2014) - 2013
- [j1]Maryam Mehri Dehnavi, David M. Fernandez, Jean-Luc Gaudiot, Dennis D. Giannacopoulos:
Parallel Sparse Approximate Inverse Preconditioning on Graphic Processing Units. IEEE Trans. Parallel Distributed Syst. 24(9): 1852-1862 (2013)
Conference and Workshop Papers
- 2024
- [c23]Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi:
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CGO 2024: 93-105 - 2023
- [c22]Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi:
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates. NeurIPS 2023 - [c21]Kazem Cheshmi, Michelle Strout, Maryam Mehri Dehnavi:
Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence. SC 2023: 89:1-89:15 - 2022
- [c20]Bangtian Liu, Avery Laird, Wai Hung Tsang, Bardia Mahjour, Maryam Mehri Dehnavi:
Combining Run-Time Checks and Compile-Time Analysis to Improve Control Flow Auto-Vectorization. PACT 2022: 439-450 - [c19]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 - [c18]Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi:
Optimizing sparse computations jointly. PPoPP 2022: 459-460 - [c17]Kazem Cheshmi, Zachary Cetinic, Maryam Mehri Dehnavi:
Vectorizing Sparse Matrix Computations with Partially-Strided Codelets. SC 2022: 32:1-32:15 - [c16]Baorun Mu, Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi:
HyLo: A Hybrid Low-Rank Natural Gradient Descent Method. SC 2022: 47:1-47:16 - 2021
- [c15]Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban:
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method. CDC 2021: 2386-2393 - 2020
- [c14]Saeed Soori, Konstantin Mishchenko, Aryan Mokhtari, Maryam Mehri Dehnavi, Mert Gürbüzbalaban:
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate. AISTATS 2020: 1965-1976 - [c13]Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi:
ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning. IPDPS 2020: 429-439 - [c12]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 - 2019
- [c11]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
- [c10]Zachary Blanco, Bangtian Liu, Maryam Mehri Dehnavi:
CSTF: Large-Scale Sparse Tensor Factorizations on Distributed Platforms. ICPP 2018: 21:1-21:10 - [c9]Saeed Soori, Aditya Devarakonda, Zachary Blanco, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi:
Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems. ICPP 2018: 22:1-22:10 - [c8]Kazem Cheshmi, Leila Cheshmi, Maryam Mehri Dehnavi:
Sparsity-Aware Storage Format Selection. HPCS 2018: 1034-1037 - [c7]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 - [c6]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 - 2017
- [c5]Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi:
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CLUSTER 2017: 47-57 - [c4]Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi:
Sympiler: transforming sparse matrix codes by decoupling symbolic analysis. SC 2017: 13 - [c3]Gabriel Salles-Loustau, Luis Garcia, Pengfei Sun, Maryam Mehri Dehnavi, Saman A. Zonouz:
Power grid safety control via fine-grained multi-persona programmable logic controllers. SmartGridComm 2017: 283-288 - 2014
- [c2]Yang You, David A. Bader, Maryam Mehri Dehnavi:
Designing a Heuristic Cross-Architecture Combination for Breadth-First Search. ICPP 2014: 70-79 - [c1]Yang You, Shuaiwen Leon Song, Haohuan Fu, Andres Marquez, Maryam Mehri Dehnavi, Kevin J. Barker, Kirk W. Cameron, Amanda Peters Randles, Guangwen Yang:
MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures. IPDPS 2014: 809-818
Editorship
- 2023
- [e1]Maryam Mehri Dehnavi, Milind Kulkarni, Sriram Krishnamoorthy:
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP 2023, Montreal, QC, Canada, 25 February 2023 - 1 March 2023. ACM 2023, ISBN 979-8-4007-0015-6 [contents]
Informal and Other Publications
- 2024
- [i13]Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi:
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs. CoRR abs/2405.16325 (2024) - 2023
- [i12]Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi:
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CoRR abs/2305.13450 (2023) - [i11]Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi:
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates. CoRR abs/2306.01685 (2023) - 2021
- [i10]Saeed Soori, Bugra Can, Baourun Mu, Mert Gürbüzbalaban, Maryam Mehri Dehnavi:
TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block Inversion. CoRR abs/2106.03947 (2021) - [i9]Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban:
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method. CoRR abs/2108.09365 (2021) - [i8]Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi:
Composing Loop-carried Dependence with Other Loops. CoRR abs/2111.12238 (2021) - [i7]Zachary Cetinic, Kazem Cheshmi, Maryam Mehri Dehnavi:
Differentiating-based Vectorization for Sparse Kernels. CoRR abs/2111.12243 (2021) - 2019
- [i6]Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi:
ASYNC: Asynchronous Machine Learning on Distributed Systems. CoRR abs/1907.08526 (2019) - 2018
- [i5]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) - [i4]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
- [i3]Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi:
Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis. CoRR abs/1705.06575 (2017) - [i2]Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi:
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CoRR abs/1705.09905 (2017) - [i1]Saeed Soori, Aditya Devarakonda, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi:
Avoiding Communication in Proximal Methods for Convex Optimization Problems. CoRR abs/1710.08883 (2017)
Coauthor Index
aka: Michelle Strout
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