Maryam Mehri Dehnavi

According to our database, Maryam Mehri Dehnavi authored at least 40 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Framework for Fine-Grained Synchronization of Dependent GPU Kernels.

Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

Register Tiling for Unstructured Sparsity in Neural Network Inference.

Lucas Wilkinson, Kazem Cheshmi, Maryam Mehri Dehnavi

Proc. ACM Program. Lang., 2023

Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models.

Marjan Asgari, Wanhong Yang, John B. Lindsay, Hui Shao, Yongbo Liu, Rodrigo de Queiroga Miranda, Maryam Mehri Dehnavi

Environ. Model. Softw., 2023

Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence.

Kazem Cheshmi, Michelle Strout, Maryam Mehri Dehnavi

Proceedings of the International Conference for High Performance Computing, 2023

MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates.

Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Randomized Gossiping With Effective Resistance Weights: Performance Guarantees and Applications.

Bugra Can, Saeed Soori, Necdet Serhat Aybat, Maryam Mehri Dehnavi, Mert Gürbüzbalaban

IEEE Trans. Control. Netw. Syst., 2022

A review of parallel computing applications in calibrating watershed hydrologic models.

Marjan Asgari, Wanhong Yang, John B. Lindsay, Bryan A. Tolson, Maryam Mehri Dehnavi

Environ. Model. Softw., 2022

HyLo: A Hybrid Low-Rank Natural Gradient Descent Method.

Baorun Mu, Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Vectorizing Sparse Matrix Computations with Partially-Strided Codelets.

Kazem Cheshmi, Zachary Cetinic, Maryam Mehri Dehnavi

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Optimizing sparse computations jointly.

Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations.

Behrooz Zarebavani, Kazem Cheshmi, Bangtian Liu, Michelle Mills Strout, Maryam Mehri Dehnavi

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Combining Run-Time Checks and Compile-Time Analysis to Improve Control Flow Auto-Vectorization.

Bangtian Liu, Avery Laird, Wai Hung Tsang, Bardia Mahjour, Maryam Mehri Dehnavi

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Differentiating-based Vectorization for Sparse Kernels.

Zachary Cetinic, Kazem Cheshmi, Maryam Mehri Dehnavi

CoRR, 2021

Composing Loop-carried Dependence with Other Loops.

Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi

CoRR, 2021

TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block Inversion.

Saeed Soori, Bugra Can, Baourun Mu, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

CoRR, 2021

L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method.

Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

NASOQ: numerically accurate sparsity-oriented QP solver.

Kazem Cheshmi, Danny M. Kaufman, Shoaib Kamil, Maryam Mehri Dehnavi

ACM Trans. Graph., 2020

MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation.

Bangtian Liu, Kazem Cheshmi, Saeed Soori, Michelle Mills Strout, Maryam Mehri Dehnavi

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning.

Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate.

Saeed Soori, Konstantin Mishchenko, Aryan Mokhtari, Maryam Mehri Dehnavi, Mert Gürbüzbalaban

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

ASYNC: Asynchronous Machine Learning on Distributed Systems.

Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

CoRR, 2019

Sparse computation data dependence simplification for efficient compiler-generated inspectors.

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

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

2018

MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations.

Bangtian Liu, Kazem Cheshmi, Saeed Soori, Maryam Mehri Dehnavi

CoRR, 2018

Sparse Matrix Code Dependence Analysis Simplification at Compile Time.

Mahdi Soltan Mohammadi, Kazem Cheshmi, Ganesh Gopalakrishnan, Mary W. Hall, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout

CoRR, 2018

ParSy: inspection and transformation of sparse matrix computations for parallelism.

Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi

Proceedings of the International Conference for High Performance Computing, 2018

Extending Index-Array Properties for Data Dependence Analysis.

Mahdi Soltan Mohammadi, Kazem Cheshmi, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout

Proceedings of the Languages and Compilers for Parallel Computing, 2018

Sparsity-Aware Storage Format Selection.

Kazem Cheshmi, Leila Cheshmi, Maryam Mehri Dehnavi

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems.

Saeed Soori, Aditya Devarakonda, Zachary Blanco, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

Proceedings of the 47th International Conference on Parallel Processing, 2018

CSTF: Large-Scale Sparse Tensor Factorizations on Distributed Platforms.

Zachary Blanco, Bangtian Liu, Maryam Mehri Dehnavi

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

Avoiding Communication in Proximal Methods for Convex Optimization Problems.

Saeed Soori, Aditya Devarakonda, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

CoRR, 2017

Autotuning divide-and-conquer stencil computations.

Ekanathan Palamadai Natarajan, Maryam Mehri Dehnavi, Charles E. Leiserson

Concurr. Comput. Pract. Exp., 2017

Power grid safety control via fine-grained multi-persona programmable logic controllers.

Gabriel Salles-Loustau, Luis Garcia, Pengfei Sun, Maryam Mehri Dehnavi, Saman A. Zonouz

Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Sympiler: transforming sparse matrix codes by decoupling symbolic analysis.

Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi

Proceedings of the International Conference for High Performance Computing, 2017

A Unified Optimization Approach for Sparse Tensor Operations on GPUs.

Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2015

Parallel finite element technique using Gaussian belief propagation.

Yousef El-Kurdi, Maryam Mehri Dehnavi, Warren J. Gross, Dennis Giannacopoulos

Comput. Phys. Commun., 2015

2014

Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax-Wendroff correction stencil.

Yang You, Haohuan Fu, Shuaiwen Leon Song, Maryam Mehri Dehnavi, Lin Gan, Xiaomeng Huang, Guangwen Yang

Int. J. High Perform. Comput. Appl., 2014

Survey on Grid Resource Allocation Mechanisms.

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

J. Grid Comput., 2014

MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures.

Yang You, Shuaiwen Leon Song, Haohuan Fu, Andres Marquez, Maryam Mehri Dehnavi, Kevin J. Barker, Kirk W. Cameron, Amanda Peters Randles, Guangwen Yang

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Designing a Heuristic Cross-Architecture Combination for Breadth-First Search.

Yang You, David A. Bader, Maryam Mehri Dehnavi

Proceedings of the 43rd International Conference on Parallel Processing, 2014

2013

Parallel Sparse Approximate Inverse Preconditioning on Graphic Processing Units.

Maryam Mehri Dehnavi, David M. Fernandez, Jean-Luc Gaudiot, Dennis D. Giannacopoulos

IEEE Trans. Parallel Distributed Syst., 2013