11 citations · 42 across the 25 of their papers we have counts for
7 papers · 1 filter
SAIM: Scalable Analog Ising Machine for Solving Quadratic Binary Optimization Problems
Sasan Razmkhah, Jui-Yu Huang, Mehdi Kamal +1
This paper presents a CMOS-compatible Lechner-Hauke-Zoller (LHZ)--based analog tile structure as a fundamental unit for developing scalable analog Ising machines (IMs). In the desi…
MENAGE: Mixed-Signal Event-Driven Neuromorphic Accelerator for Edge Applications
Armin Abdollahi, Mehdi Kamal, Massoud Pedram
This paper presents a mixed-signal neuromorphic accelerator architecture designed for accelerating inference with event-based neural network models. This fully CMOS-compatible acce…
Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on Mixed-Signal Accelerators
Seyedarmin Azizi, Mohammad Erfan Sadeghi, Mehdi Kamal +1
In this paper, we propose a framework to enhance the robustness of the neural models by mitigating the effects of process-induced and aging-related variations of analog computing c…
On the Impact of ISA Extension on Energy Consumption of I-Cache in Extensible Processors
Noushin Behboudi, Mehdi Kamal, Ali Afzali-Kusha
As is widely known, the computational speed and power consumption are two critical parameters in microprocessor design. A solution for these issues is the application specific inst…
Enhancing Layout Hotspot Detection Efficiency with YOLOv8 and PCA-Guided Augmentation
Dongyang Wu, Siyang Wang, Mehdi Kamal +1
In this paper, we present a YOLO-based framework for layout hotspot detection, aiming to enhance the efficiency and performance of the design rule checking (DRC) process. Our appro…
Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
This paper introduces a novel Dynamic Co-Optimization Compiler (DCOC), which employs an adaptive Multi-Agent Reinforcement Learning (MARL) framework to enhance the efficiency of ma…
Scalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware
Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Arash Fayyazi +3
A novel high-fan-in differential superconductor neuron structure designed for ultra-high-performance Spiking Neural Network (SNN) accelerators is presented. Utilizing a high-fan-in…