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RxNN: A Framework for Evaluating Deep Neural Networks on Resistive
  Crossbars

RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars

31 August 2018
Shubham Jain
Abhronil Sengupta
Kaushik Roy
A. Raghunathan
ArXivPDFHTML

Papers citing "RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars"

10 / 10 papers shown
Title
Hardware-aware training for large-scale and diverse deep learning
  inference workloads using in-memory computing-based accelerators
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Malte J. Rasch
C. Mackin
Manuel Le Gallo
An Chen
A. Fasoli
...
P. Narayanan
H. Tsai
G. Burr
Abu Sebastian
Vijay Narayanan
13
84
0
16 Feb 2023
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural
  Architectures for Non-ideal Xbars
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
AAML
23
1
0
15 Feb 2023
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for
  Benchmarking Spiking Neural Networks
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
Abhishek Moitra
Abhiroop Bhattacharjee
Runcong Kuang
Gokul Krishnan
Yu Cao
Priyadarshini Panda
24
20
0
24 Oct 2022
Examining the Robustness of Spiking Neural Networks on Non-ideal
  Memristive Crossbars
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
Abhiroop Bhattacharjee
Youngeun Kim
Abhishek Moitra
Priyadarshini Panda
30
15
0
20 Jun 2022
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep
  Neural Networks
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks
Gokul Krishnan
Sumit K. Mandal
Manvitha Pannala
C. Chakrabarti
Jae-sun Seo
Ümit Y. Ogras
Yu Cao
16
40
0
14 Aug 2021
Efficiency-driven Hardware Optimization for Adversarially Robust Neural
  Networks
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
AAML
27
8
0
09 May 2021
Rethinking Non-idealities in Memristive Crossbars for Adversarial
  Robustness in Neural Networks
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks
Abhiroop Bhattacharjee
Priyadarshini Panda
AAML
28
19
0
25 Aug 2020
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar
  Systems
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems
Sourjya Roy
S. Sridharan
Shubham Jain
A. Raghunathan
19
44
0
25 Feb 2020
Noisy Machines: Understanding Noisy Neural Networks and Enhancing
  Robustness to Analog Hardware Errors Using Distillation
Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation
Chuteng Zhou
Prad Kadambi
Matthew Mattina
P. Whatmough
19
35
0
14 Jan 2020
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks
Shubham Jain
S. Gupta
A. Raghunathan
MQ
30
37
0
15 Sep 2019
1