Maryam Mehri Dehnavi
Associate Professor
Develops high-performance compilers and systems for machine learning and sparse computations.
Maryam Mehri Dehnavi's lab at Toronto works on compilers & programming languages. 11 papers since 2023, 7 at top venues, mostly PACMPL and ICLR. 5 PhD students and 5 master's students. 5 alumni, most often to Amazon and IBM. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 64%
- PhD students
- 5
- MS students
- 5
- alumni listed
- 5
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 3 papers2025 · T1 3
- 3 papers2024 · T1 1
- 4 papers2023 · T1 2
T1 venuesOtherVenues: PACMPL, ICLR, ICML, NeurIPS, SIGGRAPH
Research focuspaper titles that use each topic's words
- sparse4 papers
- Compilers & programming languages0 papers
- compilers0 papers
- high-performance0 papers
- develops0 papers
Paper list
From DBLP.
20261 paper
20253 papers
- TOG (T1)Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns (opens in a new tab)
- ICML (T1)SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression (opens in a new tab)
- ICLR (T1)SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs (opens in a new tab)
20243 papers
- CGOA Framework for Fine-Grained Synchronization of Dependent GPU Kernels (opens in a new tab)
- Environ. Model. Softw.Corrigendum to "Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models" [Environ. Model. Software 164 (2023) 105708] (opens in a new tab)
- PACMPL (T1)SpEQ: Translation of Sparse Codes using Equivalences (opens in a new tab)
20234 papers
- Environ. Model. Softw.Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models (opens in a new tab)
- NeurIPS (T1)MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates (opens in a new tab)
- PACMPL (T1)Register Tiling for Unstructured Sparsity in Neural Network Inference (opens in a new tab)
- SCRuntime Composition of Iterations for Fusing Loop-carried Sparse Dependence (opens in a new tab)
Where alumni went5 listed, 75% to industry
Industry 3Academia 1
Most often to
- Amazon
- IBM
Also to
- MIT
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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Data
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- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Lab homepage
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