Arash Fayyazi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Formal Verification

Inference Engine

Power Dissipation

Top Venues

ACM Great Lakes Symposium on VLSI

Publications

Mohammad Erfan Sadeghi, Arash Fayyazi, Suhas Somashekar, Massoud Pedram
CHOSEN: Compilation to Hardware Optimization Stack for Efficient Vision Transformer Inference. CoRR (2024)
Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi, Massoud Pedram
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers. CoRR (2024)
Arash Fayyazi, Mahdi Nazemi, Arya Fayyazi, Massoud Pedram
NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. ACM Great Lakes Symposium on VLSI (2024)
Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation. DATE (2024)
Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Arash Fayyazi, Sasan Razmkhah, Mehdi Kamal, Massoud Pedram
Scalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware. CoRR (2024)
Jung Hwan Heo, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
A Fast Training-Free Compression Framework for Vision Transformers. CoRR (2023)
Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. DAC (2023)
Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. CoRR (2023)
Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. ACM Trans. Reconfigurable Technol. Syst. 16 (2) (2023)
Jung Hwan Heo, Seyedarmin Azizi, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining. CoRR (2023)
Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi, Sophia Fuhui Lin, Ali Javadi-Abhari, Massoud Pedram, Frederic T. Chong
Better Than Worst-Case Decoding for Quantum Error Correction. ASPLOS (2) (2023)
Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation. CoRR (2023)
Arash Fayyazi, Mahdi Nazemi, Armin Abdollahi, Massoud Pedram
BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. CoRR (2023)
Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. CoRR (2022)
Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi, Sophia Fuhui Lin, Ali Javadi-Abhari, Massoud Pedram, Frederic T. Chong
Have your QEC and Bandwidth too!: A lightweight cryogenic decoder for common / trivial errors, and efficient bandwidth + execution management otherwise. CoRR (2022)
Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. ISLPED (2022)
Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. CoRR (2022)
Mustafa Munir, Aswin Gopikanna, Arash Fayyazi, Massoud Pedram, Shahin Nazarian
qMC: A Formal Model Checking Verification Framework For Superconducting Logic. ACM Great Lakes Symposium on VLSI (2021)
Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. FCCM (2021)
Hitarth Kanakia, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram
ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization. DATE (2021)
Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. CoRR (2021)
Arash Fayyazi, Shahin Nazarian, Massoud Pedram
Logic Verification of Ultra-Deep Pipelined Beyond-CMOS Technologies. CoRR (2020)
Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram
HIPE-MAGIC: A Technology-Aware Synthesis and Mapping Flow for HIghly Parallel Execution of Memristor-Aided LoGIC. CoRR (2020)
Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram
HIPE-MAGIC: a technology-aware synthesis and mapping flow for highly parallel execution of memristor-aided LoGIC. ISLPED (2020)
Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. ICCAD (2020)
Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. CoRR (2020)
Arash Fayyazi, Soheil Shababi, Pierluigi Nuzzo, Shahin Nazarian, Massoud Pedram
Deep Learning-Based Circuit Recognition Using Sparse Mapping and Level-Dependent Decaying Sum Circuit Representations. DATE (2019)
Arash Fayyazi, Souvik Kundu, Shahin Nazarian, Peter A. Beerel, Massoud Pedram
CSrram: Area-Efficient Low-Power Ex-Situ Training Framework for Memristive Neuromorphic Circuits Based on Clustered Sparsity. ISVLSI (2019)
Alvin D. Wong, Kevin Su, Hang Sun, Arash Fayyazi, Massoud Pedram, Shahin Nazarian
VeriSFQ: A Semi-formal Verification Framework and Benchmark for Single Flux Quantum Technology. ISQED (2019)
Shahin Nazarian, Arash Fayyazi, Massoud Pedram
qCG: A Low-Power Multi-Domain SFQ Logic Design and Verification Framework. ICCD (2019)
Alvin D. Wong, Kevin Su, Hang Sun, Arash Fayyazi, Massoud Pedram, Shahin Nazarian
VeriSFQ - A Semi-formal Verification Framework and Benchmark for Single Flux Quantum Technology. CoRR (2019)
Karunveer Singh, Rishabh Gupta, Vikram Gupta, Arash Fayyazi, Massoud Pedram, Shahin Nazarian
A Hybrid Framework for Functional Verification using Reinforcement Learning and Deep Learning. ACM Great Lakes Symposium on VLSI (2019)
Mohammad Ansari, Arash Fayyazi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram
OCTAN: An On-Chip Training Algorithm for Memristive Neuromorphic Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. (12) (2019)
Arash Fayyazi, Souvik Kundu, Shahin Nazarian, Peter A. Beerel, Massoud Pedram
SpRRAM: A Predefined Sparsity Based Memristive Neuromorphic Circuit for Low Power Application. CoRR (2018)
Mohammad Ansari, Arash Fayyazi, Ali BanaGozar, Mohammad Ali Maleki, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram
PHAX: Physical Characteristics Aware Ex-Situ Training Framework for Inverter-Based Memristive Neuromorphic Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (8) (2018)
Arash Fayyazi, Mohammad Ansari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram
An Ultra Low-Power Memristive Neuromorphic Circuit for Internet of Things Smart Sensors. IEEE Internet Things J. 5 (2) (2018)
Reza Zendegani, Mehdi Kamal, Arash Fayyazi, Ali Afzali-Kusha, Saeed Safari, Massoud Pedram
SEERAD: A high speed yet energy-efficient rounding-based approximate divider. DATE (2016)