9 citations · 26 across the 14 of their papers we have counts for
5 papers · 1 filter
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.…
A Multi-domain Magneto Tunnel Junction for Racetrack Nanowire Strips
Prayash Dutta, Albert Lee, Kang L. Wang +2
Domain-wall memory (DWM) has SRAM class access performance, low energy, high endurance, high density, and CMOS compatibility. Recently, shift reliability and processing-using-memor…
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…
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness
Xinyi Zhang, Cong Hao, Peipei Zhou +2
The complex nature of real-world problems calls for heterogeneity in both machine learning (ML) models and hardware systems. The heterogeneity in ML models comes from multi-sensor…
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…