Maryam Mehri Dehnavi

58 papers A* 4A 10B 7C 1Journal 32Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Sparse Matrix Permutation for Mesh-Based Direct Solvers. CoRR Behrooz Zarebavami, Ahmed H. Mahmoud, Ana Dodik, Changcheng Yuan, Serban D. Porumbescu, John D. Owens, Maryam Mehri Dehnavi, Justin Solomon
2025	J	`jnl`	Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern. CoRR Behrooz Zarebavani, Danny M. Kaufman, David I. W. Levin, Maryam Mehri Dehnavi
2025	J	`jnl`	Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns. ACM Trans. Graph. Behrooz Zarebavani, Danny M. Kaufman, David I. W. Levin, Maryam Mehri Dehnavi
2025	J	`jnl`	OPTIMA: Optimal One-shot Pruning for LLMs via Quadratic Programming Reconstruction. CoRR Mohammad Mozaffari, Samuel Kushnir, Maryam Mehri Dehnavi, Amir Yazdanbakhsh
2025	J	`jnl`	Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs. CoRR Rupanshu Soi, Rohan Yadav, Fredrik Kjolstad, Alex Aiken, Maryam Mehri Dehnavi, Michael Garland, Michael Bauer
2025	J	`jnl`	PATCH: Learnable Tile-level Hybrid Sparsity for LLMs. CoRR Younes Hourri, Mohammad Mozaffari, Maryam Mehri Dehnavi
2025	A*	`conf`	SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression. ICML Mohammad Mozaffari, Amir Yazdanbakhsh, Maryam Mehri Dehnavi
2025	A*	`conf`	SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs. ICLR Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi
2024	A	`conf`	A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CGO Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
2024	J	`jnl`	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. Marjan Asgari, Wanhong Yang, John B. Lindsay, Hui Shao, Yongbo Liu, Rodrigo de Queiroga Miranda, Maryam Mehri Dehnavi
2024	J	`jnl`	SLiM: One-shot Quantized Sparse Plus Low-rank Approximation of LLMs. CoRR Mohammad Mozaffari, Maryam Mehri Dehnavi
2024	J	`jnl`	SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs. CoRR Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi
2024	J	`jnl`	SpEQ: Translation of Sparse Codes using Equivalences. Proc. ACM Program. Lang. Avery Laird, Bangtian Liu, Nikolaj S. Bjørner, Maryam Mehri Dehnavi
2023	J	`jnl`	A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CoRR Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
2023	J	`jnl`	Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models. Environ. Model. Softw. Marjan Asgari, Wanhong Yang, John B. Lindsay, Hui Shao, Yongbo Liu, Rodrigo de Queiroga Miranda, Maryam Mehri Dehnavi
2023	A*	`conf`	MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates. NeurIPS Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi
2023	J	`jnl`	MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates. CoRR Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi
2023	B	`ed.`	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 PPoPP Maryam Mehri Dehnavi, Milind Kulkarni, Sriram Krishnamoorthy
2023	J	`jnl`	Register Tiling for Unstructured Sparsity in Neural Network Inference. Proc. ACM Program. Lang. Lucas Wilkinson, Kazem Cheshmi, Maryam Mehri Dehnavi
2023	A	`conf`	Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence. SC Kazem Cheshmi, Michelle Strout, Maryam Mehri Dehnavi
2022	J	`jnl`	A review of parallel computing applications in calibrating watershed hydrologic models. Environ. Model. Softw. Marjan Asgari, Wanhong Yang, John B. Lindsay, Bryan A. Tolson, Maryam Mehri Dehnavi
2022	B	`conf`	Combining Run-Time Checks and Compile-Time Analysis to Improve Control Flow Auto-Vectorization. PACT Bangtian Liu, Avery Laird, Wai Hung Tsang, Bardia Mahjour, Maryam Mehri Dehnavi
2022	A	`conf`	HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations. IPDPS Behrooz Zarebavani, Kazem Cheshmi, Bangtian Liu, Michelle Mills Strout, Maryam Mehri Dehnavi
2022	A	`conf`	HyLo: A Hybrid Low-Rank Natural Gradient Descent Method. SC Baorun Mu, Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
2022	B	`conf`	Optimizing sparse computations jointly. PPoPP Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi
2022	J	`jnl`	Randomized Gossiping With Effective Resistance Weights: Performance Guarantees and Applications. IEEE Trans. Control. Netw. Syst. Bugra Can, Saeed Soori, Necdet Serhat Aybat, Maryam Mehri Dehnavi, Mert Gürbüzbalaban
2022	A	`conf`	Vectorizing Sparse Matrix Computations with Partially-Strided Codelets. SC Kazem Cheshmi, Zachary Cetinic, Maryam Mehri Dehnavi
2021	J	`jnl`	Composing Loop-carried Dependence with Other Loops. CoRR Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi
2021	J	`jnl`	Differentiating-based Vectorization for Sparse Kernels. CoRR Zachary Cetinic, Kazem Cheshmi, Maryam Mehri Dehnavi
2021	—	`conf`	L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method. CDC Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban
2021	J	`jnl`	L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method. CoRR Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban
2021	J	`jnl`	TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block Inversion. CoRR Saeed Soori, Bugra Can, Baourun Mu, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
2020	A	`conf`	ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning. IPDPS Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
2020	A	`conf`	DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate. AISTATS Saeed Soori, Konstantin Mishchenko, Aryan Mokhtari, Maryam Mehri Dehnavi, Mert Gürbüzbalaban
2020	B	`conf`	MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation. PPoPP Bangtian Liu, Kazem Cheshmi, Saeed Soori, Michelle Mills Strout, Maryam Mehri Dehnavi
2020	J	`jnl`	NASOQ: numerically accurate sparsity-oriented QP solver. ACM Trans. Graph. Kazem Cheshmi, Danny M. Kaufman, Shoaib Kamil, Maryam Mehri Dehnavi
2019	J	`jnl`	ASYNC: Asynchronous Machine Learning on Distributed Systems. CoRR Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
2019	A*	`conf`	Sparse computation data dependence simplification for efficient compiler-generated inspectors. PLDI 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
2018	B	`conf`	CSTF: Large-Scale Sparse Tensor Factorizations on Distributed Platforms. ICPP Zachary Blanco, Bangtian Liu, Maryam Mehri Dehnavi
2018	—	`conf`	Extending Index-Array Properties for Data Dependence Analysis. LCPC Mahdi Soltan Mohammadi, Kazem Cheshmi, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout
2018	J	`jnl`	MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations. CoRR Bangtian Liu, Kazem Cheshmi, Saeed Soori, Maryam Mehri Dehnavi
2018	A	`conf`	ParSy: inspection and transformation of sparse matrix computations for parallelism. SC Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi
2018	B	`conf`	Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems. ICPP Saeed Soori, Aditya Devarakonda, Zachary Blanco, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
2018	J	`jnl`	Sparse Matrix Code Dependence Analysis Simplification at Compile Time. CoRR Mahdi Soltan Mohammadi, Kazem Cheshmi, Ganesh Gopalakrishnan, Mary W. Hall, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout
2018	—	`conf`	Sparsity-Aware Storage Format Selection. HPCS Kazem Cheshmi, Leila Cheshmi, Maryam Mehri Dehnavi
2017	C	`conf`	A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CLUSTER Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi
2017	J	`jnl`	A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CoRR Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi
2017	J	`jnl`	Autotuning divide-and-conquer stencil computations. Concurr. Comput. Pract. Exp. Ekanathan Palamadai Natarajan, Maryam Mehri Dehnavi, Charles E. Leiserson
2017	J	`jnl`	Avoiding Communication in Proximal Methods for Convex Optimization Problems. CoRR Saeed Soori, Aditya Devarakonda, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
2017	—	`conf`	Power grid safety control via fine-grained multi-persona programmable logic controllers. SmartGridComm Gabriel Salles-Loustau, Luis Garcia, Pengfei Sun, Maryam Mehri Dehnavi, Saman A. Zonouz
2017	J	`jnl`	Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis. CoRR Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi
2017	A	`conf`	Sympiler: transforming sparse matrix codes by decoupling symbolic analysis. SC Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi
2015	J	`jnl`	Parallel finite element technique using Gaussian belief propagation. Comput. Phys. Commun. Yousef El-Kurdi, Maryam Mehri Dehnavi, Warren J. Gross, Dennis Giannacopoulos
2014	B	`conf`	Designing a Heuristic Cross-Architecture Combination for Breadth-First Search. ICPP Yang You, David A. Bader, Maryam Mehri Dehnavi
2014	J	`jnl`	Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax-Wendroff correction stencil. Int. J. High Perform. Comput. Appl. Yang You, Haohuan Fu, Shuaiwen Leon Song, Maryam Mehri Dehnavi, Lin Gan, Xiaomeng Huang, Guangwen Yang
2014	A	`conf`	MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures. IPDPS Yang You, Shuaiwen Leon Song, Haohuan Fu, Andres Marquez, Maryam Mehri Dehnavi, Kevin J. Barker, Kirk W. Cameron, Amanda Peters Randles, Guangwen Yang
2014	J	`jnl`	Survey on Grid Resource Allocation Mechanisms. J. Grid Comput. 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
2013	J	`jnl`	Parallel Sparse Approximate Inverse Preconditioning on Graphic Processing Units. IEEE Trans. Parallel Distributed Syst. Maryam Mehri Dehnavi, David M. Fernandez, Jean-Luc Gaudiot, Dennis D. Giannacopoulos