Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs

24 February 2023

Papers citing "Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs"

6 / 6 papers shown

Title
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time Matteo Risso Alessio Burrello Daniele Jahier Pagliari 41 0 0 24 Feb 2025
Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Mohanad Odema Luke Chen Hyoukjun Kwon M. A. Al Faruque 58 0 0 24 Nov 2024
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators Mohanad Odema Luke Chen Hyoukjun Kwon Mohammad Abdullah Al Faruque 14 4 0 01 May 2024
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments Max Sponner Lorenzo Servadei Bernd Waschneck Robert Wille Akash Kumar 21 0 0 12 Mar 2024
MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment Mohanad Odema Halima Bouzidi Hamza Ouarnoughi Smail Niar M. A. Al Faruque 37 7 0 16 Jul 2023
Visformer: The Vision-friendly Transformer Zhengsu Chen Lingxi Xie Jianwei Niu Xuefeng Liu Longhui Wei Qi Tian ViT 109 206 0 26 Apr 2021