PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM

24 December 2019

Papers citing "PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM"

8 / 8 papers shown

Title
TransPimLib: A Library for Efficient Transcendental Functions on Processing-in-Memory Systems Maurus Item Juan Gómez Luna Yu-Yin Guo Geraldo F. Oliveira Mohammad Sadrosadati O. Mutlu 29 4 0 03 Apr 2023
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions Kamilya Smagulova M. Fouda Ahmed M. Eltawil 11 1 0 28 Dec 2022
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators Aditya Manglik Minesh Patel Haiyu Mao Behzad Salami Jisung Park Lois Orosa O. Mutlu 15 1 0 10 Nov 2022
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System Juan Gómez Luna Yu-Yin Guo Sylvan Brocard Julien Legriel Remy Cimadomo Geraldo F. Oliveira Gagandeep Singh O. Mutlu VLM 33 14 0 16 Jul 2022
Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-in-Memory Hardware Juan Gómez Luna I. E. Hajj Ivan Fernandez Christina Giannoula Geraldo F. Oliveira O. Mutlu 28 67 0 04 Oct 2021
Resistive Neural Hardware Accelerators Kamilya Smagulova M. Fouda Fadi J. Kurdahi K. Salama A. Eltawil 23 11 0 08 Sep 2021
Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture Juan Gómez Luna I. E. Hajj Ivan Fernandez Christina Giannoula Geraldo F. Oliveira O. Mutlu 22 82 0 09 May 2021
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers Yukuan Yang Shuang Wu Lei Deng Tianyi Yan Yuan Xie Guoqi Li MQ 99 110 0 05 Sep 2019