Hot spare components for performance-cost improvement in multi-core SIMT. - Seyyed Hasan Mozafari; Brett H. Meyer (DFTS, 2015)

Yield-aware Performance-Cost Characterization for Multi-Core SIMT. - Seyyed Hasan Mozafari; Brett H. Meyer; Kevin Skadron (ACM Great Lakes Symposium on VLSI, 2015)

Area, Throughput, and Power Trade-Offs for FPGA- and ASIC-Based Execution Stream Compression. - Maria Isabel Mera; Jonah Caplan; Seyyed Hasan Mozafari; Brett H. Meyer; Peter A. Milder (ACM Trans. Embed. Comput. Syst., 2017)

Efficient Performance Evaluation of Multi-Core SIMT Processors with Hot Redundancy. - Seyyed Hasan Mozafari; Brett H. Meyer (IEEE Trans. Emerg. Top. Comput., 2018)

Characterizing the Effectiveness of Hot Sparing on Cost and Performance-per-Watt in Application Specific SIMT. - Seyyed Hasan Mozafari; Brett H. Meyer (Integr., 2019)

Hot sparing for lifetime-chip-performance and cost improvement in application specific SIMT processors. - Seyyed Hasan Mozafari; Brett H. Meyer (Des. Autom. Embed. Syst., 2020)

Hartley Stochastic Computing For Convolutional Neural Networks. - Seyyed Hasan Mozafari; James J. Clark; Warren J. Gross; Brett H. Meyer (SiPS, 2021)

Implementing Convolutional Neural Networks Using Hartley Stochastic Computing With Adaptive Rate Feature Map Compression. - Seyyed Hasan Mozafari; James J. Clark; Warren J. Gross; Brett H. Meyer (IEEE Open J. Circuits Syst., 2021)

Fast Heterogeneous Task Mapping for Reducing Edge DNN Latency. - Murray L. Kornelsen; Seyyed Hasan Mozafari; James J. Clark; Brett H. Meyer; Warren J. Gross (ASAP, 2022)

Work-in-Progress: Utilizing latency and accuracy predictors for efficient hardware-aware NAS. - Negin Firouzian; Seyyed Hasan Mozafari; James J. Clark; Warren J. Gross; Brett H. Meyer (CODES+ISSS, 2022)

BERTPerf: Inference Latency Predictor for BERT on ARM big.LITTLE Multi-Core Processors. - M. Abdelgawad; Seyyed Hasan Mozafari; James J. Clark; Brett H. Meyer; Warren J. Gross (SiPS, 2022)

Efficient 1D Grouped Convolution for PyTorch a Case Study: Fast On-Device Fine-Tuning for SqueezeBERT. - Seyyed Hasan Mozafari; James J. Clark; Warren J. Gross; Brett H. Meyer (ASAP, 2023)

High-Throughput Edge Inference for BERT Models via Neural Architecture Search and Pipeline. - Hung-Yang Chang; Seyyed Hasan Mozafari; James J. Clark; Brett H. Meyer; Warren J. Gross (ACM Great Lakes Symposium on VLSI, 2023)

Training Acceleration of Frequency Domain CNNs Using Activation Compression. - Seyyed Hasan Mozafari; James J. Clark; Warren J. Gross; Brett H. Meyer (ISCAS, 2023)

PipeBERT: High-throughput BERT Inference for ARM Big.LITTLE Multi-core Processors. - Hung-Yang Chang; Seyyed Hasan Mozafari; Cheng Chen; James J. Clark; Brett H. Meyer; Warren J. Gross (J. Signal Process. Syst., 2023)

Parameter Efficient Fine-tuning of Transformer-Based Language Models Using Dataset Pruning. - Sayed Mohammadreza Tayaranian Hosseini; Seyyed Hasan Mozafari; James Clark; Brett H. Meyer; Warren J. Gross (IEEECONF, 2024)

Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models. - Sayed Mohammadreza Tayaranian Hosseini; Seyyed Hasan Mozafari; Brett H. Meyer; James J. Clark; Warren J. Gross (CoLLAs, 2024)

Intermediate Layer Distillation with the Reused Teacher Classifier: A Study on the Importance of the Classifier of Attention-based Models. - Hang Zhang; Seyyed Hasan Mozafari; James J. Clark; Brett H. Meyer; Warren J. Gross (EMNLP (Findings), 2024)

Faster Inference of Integer SWIN Transformer by Removing the GELU Activation. - Mohammadreza Tayaranian; Seyyed Hasan Mozafari; James J. Clark; Brett H. Meyer; Warren J. Gross (CoRR, 2024)