Salma Afifi
Ph.D. QualifyingNov 18, 2024, 10:00 am - 12:00 pm
ENGRC101B (ECE Conference Room)
N/A - qualifying exam
Abstract: qualifying exam
Adviser: Sudeep Pasricha
Co-Adviser: N/A
Non-ECE Member: Yashwant Malaiya, CS
Member 3: Biswajit Ray, ECE
Addional Members: Anura Jayasumana, ECE
Co-Adviser: N/A
Non-ECE Member: Yashwant Malaiya, CS
Member 3: Biswajit Ray, ECE
Addional Members: Anura Jayasumana, ECE
Publications:
S. Afifi, I. Thakkar, S. Pasricha, “STAR: A Mixed Analog Stochastic In-DRAM Convolutional Neural Network Accelerator”, IEEE Design & Test, 2024.
S. Afifi, I. Thakkar, S. Pasricha, “ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024.
S. Afifi, F. Sunny, A. Shafiee, M. Nikdast, S. Pasricha, “GHOST: A Graph Neural Network Accelerator using Silicon Photonics”, ACM Transactions on Embedded Computing Systems (TECS), 2023.
S. Afifi, S. Pasricha, M. Nikdast, “Shedding Light on LLMs: Harnessing Photonic Neural Networks for Accelerating LLMs”, IEEE ICCAD, Nov 2024.
S. Afifi, F. Sunny, M. Nikdast, S. Pasricha, “Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics”, IEEE/ACM DATE, Mar 2024.
S. Afifi, F. Sunny, M. Nikdast, S. Pasricha, “TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics”, ACM GLSVLSI, 2023.
Publications to be Reviewed:
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks
S. Afifi, I. Thakkar, S. Pasricha, “STAR: A Mixed Analog Stochastic In-DRAM Convolutional Neural Network Accelerator”, IEEE Design & Test, 2024.
S. Afifi, I. Thakkar, S. Pasricha, “ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024.
S. Afifi, F. Sunny, A. Shafiee, M. Nikdast, S. Pasricha, “GHOST: A Graph Neural Network Accelerator using Silicon Photonics”, ACM Transactions on Embedded Computing Systems (TECS), 2023.
S. Afifi, S. Pasricha, M. Nikdast, “Shedding Light on LLMs: Harnessing Photonic Neural Networks for Accelerating LLMs”, IEEE ICCAD, Nov 2024.
S. Afifi, F. Sunny, M. Nikdast, S. Pasricha, “Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics”, IEEE/ACM DATE, Mar 2024.
S. Afifi, F. Sunny, M. Nikdast, S. Pasricha, “TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics”, ACM GLSVLSI, 2023.
Publications to be Reviewed:
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks
Program of Study:
ECE561
ECE581C6
ECE799
ECE554
ECE571
ECE528
ECE544
ECE545
ECE561
ECE581C6
ECE799
ECE554
ECE571
ECE528
ECE544
ECE545