ResearchTrend.AI
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
ArXivPDFHTML

Papers citing "A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing"

3 / 3 papers shown
Title
Mapping Spiking Neural Networks to Neuromorphic Hardware
Mapping Spiking Neural Networks to Neuromorphic Hardware
Adarsha Balaji
Anup Das
Yuefeng Wu
Khanh Huynh
Francesco DellÁnna
Giacomo Indiveri
J. Krichmar
N. Dutt
S. Schaafsma
F. Catthoor
61
117
0
04 Sep 2019
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG
Anup Das
F. Catthoor
S. Schaafsma
38
36
0
13 Aug 2019
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout
Anup Das
P. Pradhapan
W. Groenendaal
Prathyusha Adiraju
R. Rajan
F. Catthoor
S. Schaafsma
J. Krichmar
N. Dutt
C. Hoof
46
73
0
18 Jul 2017

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.