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Chasoň: Supporting Cross HBM Channel Data Migration to Enable Efficient Sparse Algebraic Acceleration
High bandwidth memory (HBM) equipped sparse accelerators are emerging as a new class of accelerators that offer concurrent accesses to …
Ubaid Bakhtiar, Amirmahdi Namjoo, Bahar Asgari
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Misam: Machine Learning Assisted Dataflow Selection in Accelerators for Sparse Matrix Multiplication
The performance of Sparse Matrix-Matrix Multiplication (SpGEMM), a foundational operation in scientific computing and machine learning, …
Sanjali Yadav, Amirmahdi Namjoo, Bahar Asgari
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Belenos: Bottleneck Evaluation to Link Biomechanics to Novel Computing Optimizations
Finite element simulations are essential in biomechanics, enabling detailed modeling of tissues and organs. However, architectural …
Hana Chitsaz, Johnson Umeike, Amirmahdi Namjoo, Babak N. Safa, Bahar Asgari
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Novel Distance-Learning Methods To Overcome Challenges Caused by COVID-19 In Undergraudate Programming Courses
With the rise of COVID-19 cases, all Sharif University of Technology undergraduate courses shifted toward a completely online paradigm, …
Amirmahdi Namjoo, Seyed Parsa Neshaei, Parham Chavoshian, Parham Saremi, Mohammad Taha Jahani-Nezhad, AmirMahdi Kousheshi, Mohammadamin Fazli
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