9 citations · 10 across the 5 of their papers we have counts for
5 papers
Sustainable AI Processing at the Edge
Sébastien Ollivier, Sheng Li, Yue Tang +5
Edge computing is a popular target for accelerating machine learning algorithms supporting mobile devices without requiring the communication latencies to handle them in the cloud.…
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…
FPIRM: Floating-point Processing in Racetrack Memories
Sébastien Ollivier, Xinyi Zhang, Yue Tang +3
Convolutional neural networks (CNN) have become a ubiquitous algorithm with growing applications in mobile and edge settings. We describe a compute-in-memory (CIM) technique called…
Brain-inspired Cognition in Next Generation Racetrack Memories
Asif Ali Khan, Sebastien Ollivier, Stephen Longofono +3
Hyperdimensional computing (HDC) is an emerging computational framework inspired by the brain that operates on vectors with thousands of dimensions to emulate cognition. Unlike con…
PIRM: Processing In Racetrack Memories
Sebastien Ollivier, Stephen Longofono, Prayash Dutta +3
The growth in data needs of modern applications has created significant challenges for modern systems leading a "memory wall." Spintronic Domain Wall Memory (DWM), related to Spin-…