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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
Date:1 January 2022
Deposited On:22 Feb 2023 11:18
Last Modified:28 Mar 2024 04:36
Publisher:Institute of Electrical and Electronics Engineers
OA Status:Green
Publisher DOI:https://doi.org/10.1109/tnnls.2022.3180209
Project Information:
  • : FunderSamsung Advanced Institute of Technology (SAIT) Global Research Neuromorphic Processor project
  • : Grant ID
  • : Project Title
  • : FunderSNSF
  • : Grant ID181010
  • : Project TitleVIPS: ultra-low power VIsual Perception System
  • Content: Draft Version
  • Language: English