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Spiking Transformer Hardware Accelerators in 3D Integration

Spiking Transformer Hardware Accelerators in 3D Integration

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3128023020

Spiking Transformer Hardware Accelerators in 3D Integration

About this item

Full title

Spiking Transformer Hardware Accelerators in 3D Integration

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-11

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Spiking neural networks (SNNs) are powerful models of spatiotemporal computation and are well suited for deployment on resource-constrained edge devices and neuromorphic hardware due to their low power consumption. Leveraging attention mechanisms similar to those found in their artificial neural network counterparts, recently emerged spiking transf...

Alternative Titles

Full title

Spiking Transformer Hardware Accelerators in 3D Integration

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3128023020

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3128023020

Other Identifiers

E-ISSN

2331-8422

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