Adaptive Block Floating-Point for Analog Deep Learning Hardware

12 May 2022

Papers citing "Adaptive Block Floating-Point for Analog Deep Learning Hardware"

6 / 6 papers shown

Title
Mirage: An RNS-Based Photonic Accelerator for DNN Training Cansu Demirkıran Guowei Yang D. Bunandar Ajay Joshi 34 1 0 29 Nov 2023
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection Lakshmi Nair David Widemann Brad Turcott Nick Moore Alexandra Wleklinski D. Bunandar Ioannis Papavasileiou Shihu Wang Eric Logan 18 0 0 28 Sep 2023
INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers Lakshmi Nair Mikhail Bernadskiy Arulselvan Madhavan Craig Chan Ayon Basumallik D. Bunandar MQ 33 2 0 07 Jul 2023
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware Lakshmi Nair D. Bunandar 14 0 0 05 Jun 2023
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 253 644 0 21 Apr 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020