5 citations · 8 across the 13 of their papers we have counts for
14 papers
XL-HD: Extended Learning in Hyperdimensional Computing via Deterministic Projections for In-Memory Accelerators
Sabrina Hassan Moon, Abu Kaisar Mohammad Masum, Sercan Aygun +1
Hyperdimensional computing (HDC) is a promising approach for energy-efficient edge machine learning (ML), where low latency, low power, and tight memory budgets are essential. Howe…
Maximizing Memory-Level Parallelism via Integrated Stochastic Logic-in-Memory Architectures
Farzad Razi, Mehran Moghadam, Sercan Aygun +2
Today's high-performance architectures are increasingly constrained by data movement latency and energy overhead, as the slowdown of single-core performance scaling coincides with…
AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection
Abu Masum, Mehran Moghadam, M. Hassan Najafi +4
Objective: Acute mountain sickness (AMS) is the most prevalent altitude illness, affecting unacclimatized individuals ascending above 2,500 m and potentially escalating to life thr…
TranSC: Hardware-Aware Design of Transcendental Functions Using Stochastic Logic
Mehran Moghadam, Sercan Aygun, M. Hassan Najafi
The hardware-friendly implementation of transcendental functions remains a longstanding challenge in design automation. These functions, which cannot be expressed as finite combina…
A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
Abu Kaisar Mohammad Masum, Naveed Mahmud, M. Hassan Najafi +1
Fine-tuning BERT for text classification can be computationally challenging and requires careful hyper-parameter tuning. Recent studies have highlighted the potential of quantum al…
Quantum Hyperdimensional Computing: a foundational paradigm for quantum neuromorphic architectures
Fabio Cumbo, Rui-Hao Li, Bryan Raubenolt +4
A significant challenge in quantum computing (QC) is developing learning models that truly align with quantum principles, as many current approaches are complex adaptations of clas…
All-in-Memory Stochastic Computing using ReRAM
João Paulo C. de Lima, Mehran Shoushtari Moghadam, Sercan Aygun +3
As the demand for efficient, low-power computing in embedded and edge devices grows, traditional computing methods are becoming less effective for handling complex tasks. Stochasti…
Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing
Mehran Shoushtari Moghadam, Sercan Aygun, M. Hassan Najafi
Data encoding is a fundamental step in emerging computing paradigms, particularly in stochastic computing (SC) and hyperdimensional computing (HDC), where it plays a crucial role i…
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Yihe Zhang, Bryce Turney, Purushottam Sigdel +11
Accurate and timely regional weather prediction is vital for sectors dependent on weather-related decisions. Traditional prediction methods, based on atmospheric equations, often s…
Late Breaking Results: Fortifying Neural Networks: Safeguarding Against Adversarial Attacks with Stochastic Computing
Faeze S. Banitaba, Sercan Aygun, M. Hassan Najafi
In neural network (NN) security, safeguarding model integrity and resilience against adversarial attacks has become paramount. This study investigates the application of stochastic…
Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures
Sercan Aygun, M. Hassan Najafi
Hyperdimensional computing (HDC) is an emerging computing paradigm with significant promise for efficient and robust learning. In HDC, objects are encoded with high-dimensional vec…
uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing
Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi
Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-str…
Sorting it out in Hardware: A State-of-the-Art Survey
Amir Hossein Jalilvand, Faeze S. Banitaba, Seyedeh Newsha Estiri +2
Sorting is a fundamental operation in various applications and a traditional research topic in computer science. Improving the performance of sorting operations can have a signific…
P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing
Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam +1
Stochastic Computing (SC) is an unconventional computing paradigm processing data in the form of random bit-streams. The accuracy and energy efficiency of SC systems highly depend…