32 citations · 134 across the 34 of their papers we have counts for
4 papers · 1 filter
CoMoNM: A Cost Modeling Framework for Compute-Near-Memory Systems
Hamid Farzaneh, Asif Ali Khan, Jeronimo Castrillon
Compute-Near-Memory (CNM) systems offer a promising approach to mitigate the von Neumann bottleneck by bringing computational units closer to data. However, optimizing for these ar…
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…
DNA Pre-alignment Filter using Processing Near Racetrack Memory
Fazal Hameed, Asif Ali Khan, Sebastien Ollivier +2
Recent DNA pre-alignment filter designs employ DRAM for storing the reference genome and its associated meta-data. However, DRAM incurs increasingly high energy consumption backgro…
ShiftsReduce: Minimizing Shifts in Racetrack Memory 4.0
Asif Ali Khan, Fazal Hameed, Robin Blaesing +2
Racetrack memories (RMs) have significantly evolved since their conception in 2008, making them a serious contender in the field of emerging memory technologies. Despite key techno…