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03/10/2022
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements
Neuromorphic hardware platforms can significantly lower the energy overh...
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02/17/2022
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review
Recently, both industry and academia have proposed several different neu...
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11/23/2021
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing
As spiking-based deep learning inference applications are increasing in ...
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08/04/2021
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware
Spiking Neural Networks (SNN) are an emerging computation model, which u...
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05/05/2021
Dynamic Reliability Management in Neuromorphic Computing
Neuromorphic computing systems uses non-volatile memory (NVM) to impleme...
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05/04/2021
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
Recently, both industry and academia have proposed many different neurom...
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03/22/2021
On the Role of System Software in Energy Management of Neuromorphic Computing
Neuromorphic computing systems such as DYNAPs and Loihi have recently be...
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11/27/2020
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints
Spiking Neural Networks (SNNs) are efficient computation models to perfo...
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09/19/2020
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition
With growing model complexity, mapping Spiking Neural Network (SNN)-base...
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06/11/2020
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
In this paper, we propose a design methodology to partition and map the ...
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04/07/2020
Compiling Spiking Neural Networks to Neuromorphic Hardware
Machine learning applications that are implemented with spike-based comp...
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03/21/2020
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network
We present PyCARL, a PyNN-based common Python programming interface for ...
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11/01/2019
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing
Neuromorphic hardware with non-volatile memory (NVM) can implement machi...
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09/04/2019
