Maryam Mehri Dehnavi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Topics

Belief Propagation

Convex Optimization Problems

Top Venues

Environ. Model. Softw.

Publications

Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs. CoRR (2024)
Avery Laird, Bangtian Liu, Nikolaj Bjørner, Maryam Mehri Dehnavi
SpEQ: Translation of Sparse Codes using Equivalences. Proc. ACM Program. Lang. 8 (PLDI) (2024)
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 (2024)
Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CGO (2024)
Kazem Cheshmi, Michelle Strout, Maryam Mehri Dehnavi
Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence. SC (2023)
Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. CoRR (2023)
Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates. CoRR (2023)
Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates. NeurIPS (2023)
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 (2023)
Lucas Wilkinson, Kazem Cheshmi, Maryam Mehri Dehnavi
Register Tiling for Unstructured Sparsity in Neural Network Inference. Proc. ACM Program. Lang. 7 (PLDI) (2023)
Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi
Optimizing sparse computations jointly. PPoPP (2022)
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)
Kazem Cheshmi, Zachary Cetinic, Maryam Mehri Dehnavi
Vectorizing Sparse Matrix Computations with Partially-Strided Codelets. SC (2022)
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) (2022)
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)
Baorun Mu, Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
HyLo: A Hybrid Low-Rank Natural Gradient Descent Method. SC (2022)
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 (2022)
Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method. CDC (2021)
Zachary Cetinic, Kazem Cheshmi, Maryam Mehri Dehnavi
Differentiating-based Vectorization for Sparse Kernels. CoRR (2021)
Saeed Soori, Bugra Can, Baourun Mu, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block Inversion. CoRR (2021)
Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method. CoRR (2021)
Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi
Composing Loop-carried Dependence with Other Loops. CoRR (2021)
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)
Kazem Cheshmi, Danny M. Kaufman, Shoaib Kamil, Maryam Mehri Dehnavi
NASOQ: numerically accurate sparsity-oriented QP solver. ACM Trans. Graph. 39 (4) (2020)
Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning. IPDPS (2020)
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)
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)
Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
ASYNC: Asynchronous Machine Learning on Distributed Systems. CoRR (2019)
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)
Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi
ParSy: inspection and transformation of sparse matrix computations for parallelism. SC (2018)
Zachary Blanco, Bangtian Liu, Maryam Mehri Dehnavi
CSTF: Large-Scale Sparse Tensor Factorizations on Distributed Platforms. ICPP (2018)
Kazem Cheshmi, Leila Cheshmi, Maryam Mehri Dehnavi
Sparsity-Aware Storage Format Selection. HPCS (2018)
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 (2018)
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 (2018)
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)
Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi
Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis. CoRR (2017)
Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CoRR (2017)
Ekanathan Palamadai Natarajan, Maryam Mehri Dehnavi, Charles E. Leiserson
Autotuning divide-and-conquer stencil computations. Concurr. Comput. Pract. Exp. 29 (17) (2017)
Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi
Sympiler: transforming sparse matrix codes by decoupling symbolic analysis. SC (2017)
Saeed Soori, Aditya Devarakonda, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi
Avoiding Communication in Proximal Methods for Convex Optimization Problems. CoRR (2017)
Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CLUSTER (2017)
Yousef El-Kurdi, Maryam Mehri Dehnavi, Warren J. Gross, Dennis Giannacopoulos
Parallel finite element technique using Gaussian belief propagation. Comput. Phys. Commun. 193 (2015)
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)
Yang You, David A. Bader, Maryam Mehri Dehnavi
Designing a Heuristic Cross-Architecture Combination for Breadth-First Search. ICPP (2014)
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) (2014)
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) (2014)
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) (2013)