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Bridging the Gap Between Neural Networks and Neuromorphic Hardware with
  A Neural Network Compiler

Bridging the Gap Between Neural Networks and Neuromorphic Hardware with A Neural Network Compiler

15 November 2017
Yu Ji
Youhui Zhang
Wenguang Chen
Yuan Xie
ArXivPDFHTML

Papers citing "Bridging the Gap Between Neural Networks and Neuromorphic Hardware with A Neural Network Compiler"

8 / 8 papers shown
Title
Neuromorphic Intermediate Representation: A Unified Instruction Set for
  Interoperable Brain-Inspired Computing
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens Egholm Pedersen
Steven Abreu
Matthias Jobst
Gregor Lenz
Vittorio Fra
...
Gianvito Urgese
Sadasivan Shankar
Terrence C. Stewart
Jason Eshraghian
Sadique Sheik
27
30
0
24 Nov 2023
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive
  RAM-based Neural Network Accelerators
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
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
15
23
0
05 May 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
17
40
0
09 Mar 2021
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
SPINN: Synergistic Progressive Inference of Neural Networks over Device
  and Cloud
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Stefanos Laskaridis
Stylianos I. Venieris
Mario Almeida
Ilias Leontiadis
Nicholas D. Lane
28
265
0
14 Aug 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
17
27
0
10 Jun 2020
Rectified Linear Postsynaptic Potential Function for Backpropagation in
  Deep Spiking Neural Networks
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks
Malu Zhang
Jiadong Wang
Burin Amornpaisannon
Zhixuan Zhang
VPK Miriyala
...
Hong Qu
Jibin Wu
Yansong Chua
Trevor E. Carlson
Haizhou Li
7
21
0
26 Mar 2020
1