Abstract
Low power (mW) and high performance (GOPS) are strong requirements for compute-intensive signal processing in E-health, Internet-of-Things, and wearable applications. This work presents a building block for programmable Ultra-Low Power accelerators, namely a tightly-coupled computing cluster that supports parallel and sequential execution at high energy efficiency over a wide range of workload requirements. The cluster, implemented in 28nm UTBB FD-SOI technology, achieves peak energy efficiency in the near-threshold (NVT) operating region: 193 MOPS/mW at 162 MOPS for parallel workloads, and 90 MOPS/mW at 68 MOPS for sequential workloads at 0.46V and 0.5V, respectively. The energy efficient operating range is wide (0.32V to 1.15V), also meeting the design goal of 1 GOPS within a 10 mW power envelope (at 0.66V).
| Original language | American English |
|---|---|
| Title of host publication | 19th IEEE Symposium on Low-Power and High-Speed Chips, IEEE COOL Chips 2016 - Proceedings |
| ISBN (Electronic) | 9781509013869 |
| DOIs | |
| State | Published - 5 Jul 2016 |
| Event | 19th IEEE Symposium on Low-Power and High-Speed Chips, IEEE COOL Chips 2016 - Yokohama, Japan Duration: 20 Apr 2016 → 22 Apr 2016 |
Publication series
| Name | 19th IEEE Symposium on Low-Power and High-Speed Chips, IEEE COOL Chips 2016 - Proceedings |
|---|
Conference
| Conference | 19th IEEE Symposium on Low-Power and High-Speed Chips, IEEE COOL Chips 2016 |
|---|---|
| Country/Territory | Japan |
| City | Yokohama |
| Period | 20/04/16 → 22/04/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Body Biasing
- Energy Efficiency
- Parallel Processing
- Power Management
- UTBB FD-SOI
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
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