Publication: Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity
Date
Date
Date
2022
Journal Article
Published version
Citations
Gao, C., Delbruck, T., & Liu, S.-C. (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. https://doi.org/10.1109/tnnls.2022.3180209
Metrics
Additional indexing
Creators (Authors)
Journal/Series Title
Journal/Series Title
Journal/Series Title
Page range/Item number
Page range/Item number
Page range/Item number
1
Page end
Page end
Page end
15
Item Type
Item Type
Item Type
Journal Article
In collections
Keywords
Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Software
Language
Language
Language
English
Publication date
Publication date
Publication date
2022-01-01
Date available
Date available
Date available
2023-02-22
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
2162-237X
OA Status
OA Status
OA Status
Green
Publisher DOI
Metrics
Citations
Gao, C., Delbruck, T., & Liu, S.-C. (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. https://doi.org/10.1109/tnnls.2022.3180209
Green Open Access
Loading...