Transport triggered array processor for vision applications |
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Author: | Safarpour, Mehdi1; Hautala, Ilkka1; Bordallo López, Miguel1; |
Organizations: |
1Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.4 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2019093030526 |
Language: | English |
Published: |
Springer Nature,
2019
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Publish Date: | 2019-09-30 |
Description: |
AbstractLow-level sensory data processing in many Internet-of-Things (IoT) devices pursue energy efficiency by utilizing sleep modes or slowing the clocking to the minimum. To curb the share of stand-by power dissipation in those designs, ultra-low-leakage processes are employed in fabrication. Those limit the clocking rates significantly, reducing the computing throughputs of individual cores. In this contribution we explore compensating for the substantial computing power needs of a vision application using massive parallelism. The Processing Elements (PE) of the design are based on Transport Triggered Architecture. The fine grained programmable parallel solution allows for fast and efficient computation of learnable low-level features (e.g. local binary descriptors and convolutions). Other operations, including Max-pooling have also been implemented. The programmable design achieves excellent energy efficiency for Local Binary Patterns computations. see all
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Series: |
Lecture notes in computer science |
ISSN: | 0302-9743 |
ISSN-E: | 1611-3349 |
ISSN-L: | 0302-9743 |
ISBN: | 978-3-030-27562-4 |
ISBN Print: | 978-3-030-27561-7 |
Volume: | 11733 |
Pages: | 361 - 372 |
DOI: | 10.1007/978-3-030-27562-4_26 |
OADOI: | https://oadoi.org/10.1007/978-3-030-27562-4_26 |
Host publication: |
Embedded Computer Systems: Architectures, Modeling, and Simulation 19th International Conference, SAMOS 2019, Samos, Greece, July 7–11, 2019, Proceedings |
Conference: |
International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
The support of Academy of Finland for project ICONICAL (grant) and 6Genesis Flagship (grant 318927) is gratefully acknowledged. |
Academy of Finland Grant Number: |
318927 313467 |
Detailed Information: |
318927 (Academy of Finland Funding decision) 313467 (Academy of Finland Funding decision) |
Copyright information: |
© Springer Nature Switzerland AG 2019. This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-27562-4_26. |