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06/08/2023
Active Inference in Hebbian Learning Networks
This work studies how brain-inspired neural ensembles equipped with loca...
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05/02/2023
The Unexpected Efficiency of Bin Packing Algorithms for Dynamic Storage Allocation in the Wild: An Intellectual Abstract
Recent work has shown that viewing allocators as black-box 2DBP solvers ...
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04/21/2023
Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation
This paper presents a trace-based simulation methodology for constructin...
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04/03/2023
Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures
The Intel Optane DC Persistent Memory (DCPM) is an attractive novel tech...
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12/19/2022
A Soft SIMD Based Energy Efficient Computing Microarchitecture
The ever-increasing size and computational complexity of today's machine...
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10/09/2022
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning
This work proposes a first-of-its-kind SLAM architecture fusing an event...
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08/27/2022
Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes
Learning to safely navigate in unknown environments is an important task...
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04/11/2022
VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices
Edge-computing requires high-performance energy-efficient embedded syste...
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02/16/2022
Continuously Learning to Detect People on the Fly: A Bio-inspired Visual System for Drones
This paper demonstrates for the first time that a biologically-plausible...
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12/02/2021
MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration
Three-dimensional integrated circuits promise power, performance, and fo...
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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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11/01/2021
Learning Event-based Spatio-Temporal Feature Descriptors via Local Synaptic Plasticity: A Biologically-Plausible Perspective of Computer Vision
We present an optimization-based theory describing spiking cortical ense...
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09/28/2021
Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach
Drones are currently being explored for safety-critical applications whe...
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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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03/09/2021
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware
Neuromorphic computing systems are embracing memristors to implement hig...
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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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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
Mapping Spiking Neural Networks to Neuromorphic Hardware
Neuromorphic hardware platforms implement biological neurons and synapse...
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08/13/2019
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware
Spiking Neural Networks (SNNs) are widely deployed to solve complex patt...
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08/13/2019
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG
Heartbeat classification using electrocardiogram (ECG) data is a vital a...
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07/18/2017