5 citations · 8 across the 13 of their papers we have counts for
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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…
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…
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…