9 papers
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…
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…
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…