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)

Designing a Heuristic Cross-Architecture Combination for Breadth-First Search. - Yang You 001; David A. Bader; Maryam Mehri Dehnavi (ICPP, 2014)

MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures. - Yang You 001; Shuaiwen Leon Song; Haohuan Fu; Andres Marquez 001; Maryam Mehri Dehnavi; Kevin J. Barker; Kirk W. Cameron; Amanda Peters Randles; Guangwen Yang (IPDPS, 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 001; Albert Y. Zomaya (J. Grid Comput., 2014)

Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax-Wendroff correction stencil. - Yang You 001; Haohuan Fu; Shuaiwen Leon Song; Maryam Mehri Dehnavi; Lin Gan; Xiaomeng Huang; Guangwen Yang (Int. J. High Perform. Comput. Appl., 2014)

Parallel finite element technique using Gaussian belief propagation. - Yousef El-Kurdi; Maryam Mehri Dehnavi; Warren J. Gross; Dennis Giannacopoulos (Comput. Phys. Commun., 2015)

A Unified Optimization Approach for Sparse Tensor Operations on GPUs. - Bangtian Liu; Chengyao Wen; Anand D. Sarwate; Maryam Mehri Dehnavi (CLUSTER, 2017)

Sympiler: transforming sparse matrix codes by decoupling symbolic analysis. - Kazem Cheshmi; Shoaib Kamil 001; Michelle Mills Strout; Maryam Mehri Dehnavi (SC, 2017)

Power grid safety control via fine-grained multi-persona programmable logic controllers. - Gabriel Salles-Loustau; Luis Garcia 001; Pengfei Sun; Maryam Mehri Dehnavi; Saman A. Zonouz (SmartGridComm, 2017)

Autotuning divide-and-conquer stencil computations. - Ekanathan Palamadai Natarajan; Maryam Mehri Dehnavi; Charles E. Leiserson (Concurr. Comput. Pract. Exp., 2017)

Avoiding Communication in Proximal Methods for Convex Optimization Problems. - Saeed Soori; Aditya Devarakonda; James Demmel; Mert Gürbüzbalaban; Maryam Mehri Dehnavi (CoRR, 2017)

CSTF: Large-Scale Sparse Tensor Factorizations on Distributed Platforms. - Zachary Blanco; Bangtian Liu; Maryam Mehri Dehnavi (ICPP, 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 (ICPP, 2018)

Sparsity-Aware Storage Format Selection. - Kazem Cheshmi; Leila Cheshmi; Maryam Mehri Dehnavi (HPCS, 2018)

Extending Index-Array Properties for Data Dependence Analysis. - Mahdi Soltan Mohammadi; Kazem Cheshmi; Maryam Mehri Dehnavi; Anand Venkat; Tomofumi Yuki; Michelle Mills Strout (LCPC, 2018)

ParSy: inspection and transformation of sparse matrix computations for parallelism. - Kazem Cheshmi; Shoaib Kamil 001; Michelle Mills Strout; Maryam Mehri Dehnavi (SC, 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)

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 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 (PLDI, 2019)

ASYNC: Asynchronous Machine Learning on Distributed Systems. - Saeed Soori; Bugra Can; Mert Gürbüzbalaban; Maryam Mehri Dehnavi (CoRR, 2019)

DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate. - Saeed Soori; Konstantin Mishchenko; Aryan Mokhtari; Maryam Mehri Dehnavi; Mert Gürbüzbalaban (AISTATS, 2020)

ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning. - Saeed Soori; Bugra Can; Mert Gürbüzbalaban; Maryam Mehri Dehnavi (IPDPS, 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 (PPoPP, 2020)

NASOQ: numerically accurate sparsity-oriented QP solver. - Kazem Cheshmi; Danny M. Kaufman; Shoaib Kamil 001; Maryam Mehri Dehnavi (ACM Trans. Graph., 2020)

L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method. - Bugra Can; Saeed Soori; Maryam Mehri Dehnavi; Mert Gürbüzbalaban (CDC, 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)

Composing Loop-carried Dependence with Other Loops. - Kazem Cheshmi; Michelle Mills Strout; Maryam Mehri Dehnavi (CoRR, 2021)

Differentiating-based Vectorization for Sparse Kernels. - Zachary Cetinic; Kazem Cheshmi; Maryam Mehri Dehnavi (CoRR, 2021)

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 (PACT, 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 (IPDPS, 2022)

Optimizing sparse computations jointly. - Kazem Cheshmi; Michelle Mills Strout; Maryam Mehri Dehnavi (PPoPP, 2022)

Vectorizing Sparse Matrix Computations with Partially-Strided Codelets. - Kazem Cheshmi; Zachary Cetinic; Maryam Mehri Dehnavi (SC, 2022)

HyLo: A Hybrid Low-Rank Natural Gradient Descent Method. - Baorun Mu; Saeed Soori; Bugra Can; Mert Gürbüzbalaban; Maryam Mehri Dehnavi (SC, 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)

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)

MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates. - Mohammad Mozaffari; Sikan Li; Zhao Zhang; Maryam Mehri Dehnavi (NeurIPS, 2023)

Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence. - Kazem Cheshmi; Michelle Strout; Maryam Mehri Dehnavi (SC, 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)

Register Tiling for Unstructured Sparsity in Neural Network Inference. - Lucas Wilkinson; Kazem Cheshmi; Maryam Mehri Dehnavi (Proc. ACM Program. Lang., 2023)

A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. - Abhinav Jangda; Saeed Maleki; Maryam Mehri Dehnavi; Madan Musuvathi; Olli Saarikivi (CGO, 2024)

SLiM: One-shot Quantized Sparse Plus Low-rank Approximation of LLMs. - Mohammad Mozaffari; Maryam Mehri Dehnavi (CoRR, 2024)

Corrigendum to "Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models" [Environ. Model. Software 164 (2023) 105708]. - Marjan Asgari; Wanhong Yang; John B. Lindsay; Hui Shao; Yongbo Liu; Rodrigo de Queiroga Miranda; Maryam Mehri Dehnavi (Environ. Model. Softw., 2024)

SpEQ: Translation of Sparse Codes using Equivalences. - Avery Laird; Bangtian Liu; Nikolaj S. Bjørner; Maryam Mehri Dehnavi (Proc. ACM Program. Lang., 2024)

SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs. - Mohammad Mozaffari; Amir Yazdanbakhsh; Zhao Zhang; Maryam Mehri Dehnavi (ICLR, 2025)

Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern. - Behrooz Zarebavani; Danny M. Kaufman; David I. W. Levin; Maryam Mehri Dehnavi (CoRR, 2025)

Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns. - Behrooz Zarebavani; Danny M. Kaufman; David I. W. Levin; Maryam Mehri Dehnavi (ACM Trans. Graph., 2025)

PATCH: Learnable Tile-level Hybrid Sparsity for LLMs. - Younes Hourri; Mohammad Mozaffari; Maryam Mehri Dehnavi (CoRR, 2025)