DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators

14 March 2023

Papers citing "DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators"

6 / 6 papers shown

Title
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators Mahdi Taheri N. Cherezova M. S. Ansari M. Jenihhin A. Mahani Masoud Daneshtalab J. Raik 21 12 0 17 Jan 2024
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Muhammad Shafique K. Pekmestzi Dimitrios Soudris 29 3 0 20 Jul 2023
DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin 24 12 0 13 Mar 2023
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators Ayesha Siddique K. Basu K. A. Hoque 21 13 0 08 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 66 100 0 04 Jan 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems R. David Jared Duke Advait Jain Vijay Janapa Reddi Nat Jeffries ... Meghna Natraj Shlomi Regev Rocky Rhodes Tiezhen Wang Pete Warden 103 464 0 17 Oct 2020