Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity

Gao, Chang; Delbruck, Tobi; Liu, Shih-Chii

doi:10.1109/tnnls.2022.3180209

Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity

Gao, Chang; Delbruck, Tobi; Liu, Shih-Chii (2022). Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity. IEEE Transactions on Neural Networks and Learning Systems:1-15.

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Additional indexing

Item Type:	Journal Article, not_refereed, original work
Communities & Collections:	07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:	570 Life sciences; biology
Scopus Subject Areas:	Physical Sciences > Software Physical Sciences > Computer Science Applications Physical Sciences > Computer Networks and Communications Physical Sciences > Artificial Intelligence
Uncontrolled Keywords:	Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Software
Language:	English
Date:	1 January 2022
Deposited On:	22 Feb 2023 11:18
Last Modified:	24 Dec 2024 04:37
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	2162-237X
OA Status:	Green
Publisher DOI:	https://doi.org/10.1109/tnnls.2022.3180209
Project Information:	Funder: Samsung Advanced Institute of Technology (SAIT) Global Research Neuromorphic Processor project Grant ID: Project Title: Funder: SNSF Grant ID: 181010 Project Title: VIPS: ultra-low power VIsual Perception System