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Seyyed Hasan Mozafari
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- affiliation: McGill University, Montreal, Quebec, Canada
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2020 – today
- 2024
- [c10]Hang Zhang, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
Intermediate Layer Distillation with the Reused Teacher Classifier: A Study on the Importance of the Classifier of Attention-based Models. EMNLP (Findings) 2024: 7203-7212 - [i2]Mohammadreza Tayaranian, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation. CoRR abs/2402.01169 (2024) - [i1]Mohammadreza Tayaranian, Seyyed Hasan Mozafari, Brett H. Meyer, James J. Clark, Warren J. Gross:
Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models. CoRR abs/2407.08887 (2024) - 2023
- [j6]Hung-Yang Chang
, Seyyed Hasan Mozafari, Cheng Chen, James J. Clark, Brett H. Meyer, Warren J. Gross:
PipeBERT: High-throughput BERT Inference for ARM Big.LITTLE Multi-core Processors. J. Signal Process. Syst. 95(7): 877-894 (2023) - [c9]Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Efficient 1D Grouped Convolution for PyTorch a Case Study: Fast On-Device Fine-Tuning for SqueezeBERT. ASAP 2023: 69-75 - [c8]Hung-Yang Chang
High-Throughput Edge Inference for BERT Models via Neural Architecture Search and Pipeline. ACM Great Lakes Symposium on VLSI 2023: 455-459 - [c7]Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Training Acceleration of Frequency Domain CNNs Using Activation Compression. ISCAS 2023: 1-5 - 2022
- [c6]Murray L. Kornelsen, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
Fast Heterogeneous Task Mapping for Reducing Edge DNN Latency. ASAP 2022: 64-71 - [c5]Negin Firouzian
Work-in-Progress: Utilizing latency and accuracy predictors for efficient hardware-aware NAS. CODES+ISSS 2022: 15-16 - [c4]M. Abdelgawad, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
BERTPerf: Inference Latency Predictor for BERT on ARM big.LITTLE Multi-Core Processors. SiPS 2022: 1-6 - 2021
- [j5]Seyyed Hasan Mozafari
Implementing Convolutional Neural Networks Using Hartley Stochastic Computing With Adaptive Rate Feature Map Compression. IEEE Open J. Circuits Syst. 2: 805-819 (2021) - [c3]Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Hartley Stochastic Computing For Convolutional Neural Networks. SiPS 2021: 1-6 - 2020
- [j4]Seyyed Hasan Mozafari
Hot sparing for lifetime-chip-performance and cost improvement in application specific SIMT processors. Des. Autom. Embed. Syst. 24(4): 249-266 (2020)
2010 – 2019
- 2019
- [j3]Seyyed Hasan Mozafari
Characterizing the Effectiveness of Hot Sparing on Cost and Performance-per-Watt in Application Specific SIMT. Integr. 69: 198-209 (2019) - 2018
- [j2]Seyyed Hasan Mozafari
Efficient Performance Evaluation of Multi-Core SIMT Processors with Hot Redundancy. IEEE Trans. Emerg. Top. Comput. 6(4): 498-510 (2018) - 2017
- [j1]Maria Isabel Mera
Area, Throughput, and Power Trade-Offs for FPGA- and ASIC-Based Execution Stream Compression. ACM Trans. Embed. Comput. Syst. 16(4): 96:1-96:20 (2017) - 2015
- [c2]Seyyed Hasan Mozafari, Brett H. Meyer:
Hot spare components for performance-cost improvement in multi-core SIMT. DFTS 2015: 53-59 - [c1]Seyyed Hasan Mozafari, Brett H. Meyer, Kevin Skadron
Yield-aware Performance-Cost Characterization for Multi-Core SIMT. ACM Great Lakes Symposium on VLSI 2015: 237-240
Coauthor Index
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