8 citations · 8 across the 6 of their papers we have counts for
6 papers
ARMOR-IMC: Adaptive Resource Mapping for Operational Robustness via Secure In-Memory Computing
Muhtasim Alam Chowdhury, Ramtin Zand, Soheil Salehi
The massive data-movement overhead in traditional architectures has led to the adoption of In-Memory Computing (IMC) for energy-efficient Deep Neural Network (DNN) processing. By l…
HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion
Yu-Zheng Lin, Muntasir Mamun, Muhtasim Alam Chowdhury +11
The escalating complexity of modern computing frameworks has resulted in a surge in the cybersecurity vulnerabilities reported to the National Vulnerability Database (NVD) by pract…
Quantized Transformer Language Model Implementations on Edge Devices
Mohammad Wali Ur Rahman, Murad Mehrab Abrar, Hunter Gibbons Copening +4
Large-scale transformer-based models like the Bidirectional Encoder Representations from Transformers (BERT) are widely used for Natural Language Processing (NLP) applications, whe…
Adaptive Non-Uniform Compressive Sensing using SOT-MRAM Multibit Crossbar Arrays
Soheil Salehi, Ronald F. DeMara
A Compressive Sensing (CS) approach is applied to utilize intrinsic computation capabilities of Spin-Orbit Torque Magnetic Random Access Memory (SOT-MRAM) devices for IoT applicati…
Clockless Spin-based Look-Up Tables with Wide Read Margin
Soheil Salehi, Ramtin Zand, Ronald F. DeMara
In this paper, we develop a 6-input fracturable non-volatile Clockless LUT (C-LUT) using spin Hall effect (SHE)-based Magnetic Tunnel Junctions (MTJs) and provide a detailed compar…
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals
Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh +2
Recently, the promising aspects of compressive sensing have inspired new circuit-level approaches for their efficient realization within the literature. However, most of these rece…