Situla: Studying the Interplay of Sparse Formats and CPU/GPU Libraries
Amirmahdi Namjoo, Sanjali Yadav, Helya Hosseini, Bahar Asgari
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 2026
A characterization of sparse-dense and sparse-sparse matrix multiplication across Intel Xeon CPUs, NVIDIA H100 GPUs, and Arm Neoverse processors, studying how sparse format, software library, matrix structure, performance, and energy interact.
@inproceedings{namjoo2026situla,
author = {Namjoo, Amirmahdi and Yadav, Sanjali and Hosseini, Helya and Asgari, Bahar},
title = {Situla: Studying the Interplay of Sparse Formats and CPU/GPU Libraries},
booktitle = {2026 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)},
year = {2026},
pages = {567--577},
doi = {10.1109/ISPASS69572.2026.00060}
}
Chasoń: Supporting Cross HBM Channel Data Migration to Enable Efficient Sparse Algebraic Acceleration
Ubaid Bakhtiar, Amirmahdi Namjoo, Bahar Asgari
58th IEEE/ACM International Symposium on Microarchitecture (MICRO) · 2025
An HBM-based streaming accelerator for sparse matrix-vector multiplication that migrates data across HBM channels (Cross-HBM Channel out-of-order scheduling) to mitigate resource underutilization.
@inproceedings{10.1145/3725843.3756086,
author = {Bakhtiar, Ubaid and Namjoo, Amirmahdi and Asgari, Bahar},
title = {Chason: Supporting Cross HBM Channel Data Migration to Enable Efficient Sparse Algebraic Acceleration},
year = {2025},
doi = {10.1145/3725843.3756086},
booktitle = {Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture},
pages = {778--794},
series = {MICRO '25}
}
Misam: Machine Learning Assisted Dataflow Selection in Accelerators for Sparse Matrix Multiplication
Sanjali Yadav, Amirmahdi Namjoo, Bahar Asgari
58th IEEE/ACM International Symposium on Microarchitecture (MICRO) · 2025
A machine-learning framework that uses a lightweight decision tree and FPGA reconfiguration to select the optimal dataflow for sparse matrix-matrix multiplication at runtime.
@inproceedings{10.1145/3725843.3756126,
author = {Yadav, Sanjali and Namjoo, Amirmahdi and Asgari, Bahar},
title = {Misam: Machine Learning Assisted Dataflow Selection in Accelerators for Sparse Matrix Multiplication},
year = {2025},
doi = {10.1145/3725843.3756126},
booktitle = {Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture},
pages = {824--838},
series = {MICRO '25}
}
Belenos: Bottleneck Evaluation to Link Biomechanics to Novel Computing Optimizations
Hana Chitsaz, Johnson Umeike, Amirmahdi Namjoo, Babak N. Safa, Bahar Asgari
IEEE International Symposium on Workload Characterization (IISWC) · 2025
A workload characterization of finite-element biomechanics simulations (FEBio) using gem5 and VTune, identifying architectural bottlenecks and optimal configurations for domain-specific accelerators.
@misc{chitsaz2025belenosbottleneckevaluationlink,
title = {Belenos: Bottleneck Evaluation to Link Biomechanics to Novel Computing Optimizations},
author = {Hana Chitsaz and Johnson Umeike and Amirmahdi Namjoo and Babak N. Safa and Bahar Asgari},
year = {2025},
eprint = {2510.15908},
archivePrefix = {arXiv},
primaryClass = {cs.AR},
url = {https://arxiv.org/abs/2510.15908}
}
Novel Distance-Learning Methods to Overcome Challenges Caused by COVID-19 in Undergraduate Programming Courses
Amirmahdi Namjoo, Seyed Parsa Neshaei, Parham Chavoshian, Parham Saremi, Mohammad Taha Jahani-Nezhad, AmirMahdi Kousheshi, Mohammadamin Fazli
14th International Conference on Education and New Learning Technologies (EDULEARN) · 2022
Distance-learning techniques used to improve the education and assessment of undergraduate programming courses at Sharif University of Technology during the COVID-19 pandemic.
@inproceedings{namjoo2022novel,
author = {Namjoo, Amirmahdi and Neshaei, Seyed Parsa and Chavoshian, Parham and Saremi, Parham and Jahani-Nezhad, Mohammad Taha and Kousheshi, AmirMahdi and Fazli, Mohammadamin},
title = {Novel Distance-Learning Methods to Overcome Challenges Caused by COVID-19 in Undergraduate Programming Courses},
year = {2022},
doi = {10.21125/edulearn.2022.2233},
booktitle = {14th International Conference on Education and New Learning Technologies (EDULEARN)}
}