Abstract
| Original language | English |
|---|---|
| Title of host publication | Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2019 |
| Editors | Maxime Pelcat, Matthias Jung, Dionisios N. Pnevmatikatos |
| Publisher | Springer |
| Pages | 361-372 |
| Number of pages | 12 |
| ISBN (Electronic) | 978-3-030-27562-4 |
| ISBN (Print) | 978-3-030-27561-7 |
| DOIs | |
| Publication status | Published - 2019 |
| MoE publication type | A4 Article in a conference publication |
| Event | 19th International Conference on Embedded Computer Systems, SAmos 2019 - Samos, Greece Duration: 7 Jul 2019 → 11 Jul 2019 |
Conference
| Conference | 19th International Conference on Embedded Computer Systems, SAmos 2019 |
|---|---|
| Country | Greece |
| City | Samos |
| Period | 7/07/19 → 11/07/19 |
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Keywords
- Binary Patterns
- Computer vision
- Embedded systems
- Internet-of-Things
- Massive processing arrays
Cite this
}
Transport Triggered Array Processor for Vision Applications. / Mehdi, Safarpour (Corresponding author); Ilkka, Hautala; Bordallo López, Miguel; Silvén, Olli.
Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2019. ed. / Maxime Pelcat; Matthias Jung; Dionisios N. Pnevmatikatos. Springer, 2019. p. 361-372 (Lecture Notes in Computer Science, Vol. 11733).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Transport Triggered Array Processor for Vision Applications
AU - Mehdi, Safarpour
AU - Ilkka, Hautala
AU - Bordallo López, Miguel
AU - Silvén, Olli
PY - 2019
Y1 - 2019
N2 - Low-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.
AB - Low-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.
KW - Binary Patterns
KW - Computer vision
KW - Embedded systems
KW - Internet-of-Things
KW - Massive processing arrays
UR - https://arxiv.org/abs/1906.04258v1
UR - http://www.scopus.com/inward/record.url?scp=85071473163&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-27562-4_26
DO - 10.1007/978-3-030-27562-4_26
M3 - Conference article in proceedings
SN - 978-3-030-27561-7
SP - 361
EP - 372
BT - Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2019
A2 - Pelcat, Maxime
A2 - Jung, Matthias
A2 - Pnevmatikatos, Dionisios N.
PB - Springer
ER -