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Mapping Spiking Neural Networks to Neuromorphic Hardware

Mapping Spiking Neural Networks to Neuromorphic Hardware

4 September 2019
Adarsha Balaji
Anup Das
Yuefeng Wu
Khanh Huynh
Francesco DellÁnna
Giacomo Indiveri
J. Krichmar
N. Dutt
S. Schaafsma
F. Catthoor
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Papers citing "Mapping Spiking Neural Networks to Neuromorphic Hardware"

34 / 34 papers shown
Title
Hybrid variable spiking graph neural networks for energy-efficient
  scientific machine learning
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning
Isha Jain
Shailesh Garg
Shaurya Shriyam
Souvik Chakraborty
GNN
78
0
0
12 Dec 2024
Neuromorphic Optical Flow and Real-time Implementation with Event
  Cameras
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
Yannick Schnider
Stanisław Woźniak
Mathias Gehrig
J. Lecomte
Axel von Arnim
Luca Benini
Davide Scaramuzza
A. Pantazi
38
15
0
14 Apr 2023
Gradient-descent hardware-aware training and deployment for mixed-signal
  Neuromorphic processors
Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
Uğurcan Cakal
Maryada
Chenxi Wu
I. Ulusoy
Dylan R. Muir
20
6
0
14 Mar 2023
Cortical-inspired placement and routing: minimizing the memory resources
  in multi-core neuromorphic processors
Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors
Vanessa R. C. Leite
Zhe Su
A. Whatley
Giacomo Indiveri
13
5
0
29 Aug 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
22
15
0
20 Jun 2022
Learning in Feedback-driven Recurrent Spiking Neural Networks using
  full-FORCE Training
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training
A. Paul
Stefan Sylvius Wagner
Anup Das
28
8
0
26 May 2022
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing
  Elements
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements
Shihao Song
Adarsha Balaji
Anup Das
Nagarajan Kandasamy
21
14
0
10 Mar 2022
Wearable uBrain: Fabric Based-Spiking Neural Network
Wearable uBrain: Fabric Based-Spiking Neural Network
Frances Cleary
W. Srisa-an
Beatriz Gil
Jaideep C. Kesavan
T. Engel
D. Henshall
Sasitharan Balasubramaniam
17
2
0
25 Feb 2022
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn
  Infants
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants
A. Paul
Md. Abu Saleh Tajin
Anup Das
W. Mongan
K. Dandekar
27
11
0
21 Feb 2022
Implementing Spiking Neural Networks on Neuromorphic Architectures: A
  Review
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review
Phu Khanh Huynh
M. L. Varshika
A. Paul
Murat Isik
Adarsha Balaji
Anup Das
28
36
0
17 Feb 2022
On the Mitigation of Read Disturbances in Neuromorphic Inference
  Hardware
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware
A. Paul
Shihao Song
Twisha Titirsha
Anup Das
25
5
0
27 Jan 2022
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded
  Neuromorphic Computing
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing
M. L. Varshika
Adarsha Balaji
Federico Corradi
Anup Das
J. Stuijt
F. Catthoor
24
24
0
23 Nov 2021
Design Technology Co-Optimization for Neuromorphic Computing
Design Technology Co-Optimization for Neuromorphic Computing
Ankita Paul
Shihao Song
Anup Das
35
6
0
15 Oct 2021
A Design Flow for Mapping Spiking Neural Networks to Many-Core
  Neuromorphic Hardware
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware
Shihao Song
M. L. Varshika
Anup Das
Nagarajan Kandasamy
13
27
0
27 Aug 2021
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to
  Neuromorphic Hardware
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware
Shihao Song
Harry Chong
Adarsha Balaji
Anup Das
J. Shackleford
Nagarajan Kandasamy
18
28
0
04 Aug 2021
Improving Inference Lifetime of Neuromorphic Systems via Intelligent
  Synapse Mapping
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping
Shihao Song
Twisha Titirsha
Anup Das
16
13
0
16 Jun 2021
Dynamic Reliability Management in Neuromorphic Computing
Dynamic Reliability Management in Neuromorphic Computing
Shihao Song
Jui Hanamshet
Adarsha Balaji
Anup Das
J. Krichmar
N. Dutt
Nagarajan Kandasamy
F. Catthoor
17
23
0
05 May 2021
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration
  with Spiking Neural Networks
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
Adarsha Balaji
Shihao Song
Twisha Titirsha
Anup Das
J. Krichmar
N. Dutt
J. Shackleford
Nagarajan Kandasamy
F. Catthoor
31
24
0
04 May 2021
On the Role of System Software in Energy Management of Neuromorphic
  Computing
On the Role of System Software in Energy Management of Neuromorphic Computing
Twisha Titirsha
Shihao Song
Adarsha Balaji
Anup Das
32
24
0
22 Mar 2021
Linear Constraints Learning for Spiking Neurons
Linear Constraints Learning for Spiking Neurons
Huy Le Nguyen
Dominique F. Chu
8
0
0
10 Mar 2021
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic
  Hardware
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware
Twisha Titirsha
Shihao Song
Anup Das
J. Krichmar
N. Dutt
Nagarajan Kandasamy
F. Catthoor
22
40
0
09 Mar 2021
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware
  Constraints
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints
Adarsha Balaji
Anup Das
17
16
0
27 Nov 2020
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic
  Hardware
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware
Twisha Titirsha
Anup Das
27
21
0
09 Oct 2020
Reliability-Performance Trade-offs in Neuromorphic Computing
Reliability-Performance Trade-offs in Neuromorphic Computing
Twisha Titirsha
Anup Das
13
20
0
26 Sep 2020
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial
  Decomposition
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition
Adarsha Balaji
Shihao Song
Anup Das
J. Krichmar
N. Dutt
J. Shackleford
Nagarajan Kandasamy
F. Catthoor
30
26
0
19 Sep 2020
A Case for Lifetime Reliability-Aware Neuromorphic Computing
A Case for Lifetime Reliability-Aware Neuromorphic Computing
Shihao Song
Anup Das
11
30
0
04 Jul 2020
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
Adarsha Balaji
T. Marty
Anup Das
F. Catthoor
19
24
0
11 Jun 2020
Improving Dependability of Neuromorphic Computing With Non-Volatile
  Memory
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory
Shihao Song
Anup Das
Nagarajan Kandasamy
25
27
0
10 Jun 2020
Towards Efficient Processing and Learning with Spikes: New Approaches
  for Multi-Spike Learning
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning
Qiang Yu
Shenglan Li
Huajin Tang
Longbiao Wang
J. Dang
Kay Chen Tan
19
10
0
02 May 2020
Compiling Spiking Neural Networks to Neuromorphic Hardware
Compiling Spiking Neural Networks to Neuromorphic Hardware
Shihao Song
Adarsha Balaji
Anup Das
Nagarajan Kandasamy
J. Shackleford
11
41
0
07 Apr 2020
SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking
  Neural Network onto NoC-based Neuromorphic Platform
SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking Neural Network onto NoC-based Neuromorphic Platform
Shiming Li
Shasha Guo
Limeng Zhang
Ziyang Kang
Shiying Wang
Wei Shi
Lei Wang
Weixia Xu
22
23
0
31 Mar 2020
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking
  Neural Network
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network
Adarsha Balaji
Prathyusha Adiraju
H. Kashyap
Anup Das
J. Krichmar
N. Dutt
F. Catthoor
38
48
0
21 Mar 2020
A Framework to Explore Workload-Specific Performance and Lifetime
  Trade-offs in Neuromorphic Computing
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing
Adarsha Balaji
Shihao Song
Anup Das
N. Dutt
J. Krichmar
Nagarajan Kandasamy
F. Catthoor
9
29
0
01 Nov 2019
Cognitive swarming in complex environments with attractor dynamics and
  oscillatory computing
Cognitive swarming in complex environments with attractor dynamics and oscillatory computing
J. Monaco
Grace M. Hwang
Kevin M. Schultz
Kechen Zhang
11
28
0
15 Sep 2019
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