Date: Tuesday 28 March 2017
Time: 14:30 - 16:00
Location / Room: 5BC
Organisers:
Luca Benini, ETHZ, CH
Davide Rossi, Università di Bologna, IT
Chair:
Luca Benini, ETHZ, CH
Co-Chair:
Davide Rossi, Università di Bologna, IT
This special session will give a deep dive into Ultra-low power computing for Internet-of-Things applications, starting from leading-edge MCU-based commercial solutions, moving to next generation highly-parallel ULP architectures based on open-source hardware & software, fast-forwarding to advanced research solutions based new models of computations
| Time | Label | Presentation Title Authors |
|---|---|---|
| 14:30 | 3.1.1 | BETTER THAN WORST CASE SIGNOFF STRATEGIES FOR LOW POWER IOT DEVICES Speaker: Jose Pineda de Gyvez, NXP Semiconductors, NL Authors: Jose Pineda and Hamed Fatemi, NXP Semiconductors, NL Abstract Portable consumer electronic devices are nowadays ubiquitous. Digital ubiquity, along with a lift in semiconductor utilization for consumer electronics, power autonomy, and device miniaturization are key challenges to attain digital convergence for seamless operability. Most of the state-of-the-art computing architectures are based on power-performance trade-offs. In fact, it is unconceivable to think that without power management any kind of competitive compute solution can be marketed in the entire application field. The relative slow innovation progress on battery technologies demands radical innovations for energy-efficient operation. The inability of battery technologies to keep pace with long operating times required by modern multi-purpose devices necessitates alternative (design) solutions that extend battery lifetime. In this presentation we will focus on signoff techniques aimed to yield designs with smaller area and lower power next to reducing signoff complexity because of sever process variability. More specifically, we make use of standard cell libraries characterized for a lower process spread (e.g. -1σ corner), tighter voltage margin (e.g. Vdd-5%) and typical operating temperature instead of targeting the worst-case PVT corner (e.g. -3σ corner, Vdd-10%, 125oC). We evaluate the proposed techniques in a Cortex-M3 testchip designed in 40nm CMOS process. We will show measurement results that demonstrate the effectiveness of using better than worst case signoffs. |
| 15:00 | 3.1.2 | GAP: AN OPEN-SOURCE PULP-RISCV PLATFORM FOR NEAR-SENSOR ANALYTICS Author: Eric Flamand, GreenWaves Technologies, FR |
| 15:30 | 3.1.3 | ENERGY-QUALITY SCALABLE ADAPTIVE VLSI CIRCUITS AND SYSTEMS BEYOND APPROXIMATE COMPUTING Speaker and Author: Massimo Alioto, National University of Singapore, SG Abstract In this paper, the concept of energy-quality (EQ) scalable systems is introduced and explored, as novel design dimension to scale down energy in integrated systems for the Internet of Things (IoT). EQ-scalable systems explicitly trade off energy and quality at different evels of abstraction ("vertically"), and sub-systems ("horizontally"), creating new opportunities to improve energy efficiency for a given task and expected "quality". The concept of quality slack, a taxonomy of techniques to trade off energy and quality and a general EQ-scalable architecture are presented. The generality of the EQ-scaling concept is shown through several examples, ranging from logic to analog circuits, to memories and Analog-Digital Converters. Challenges, opportunities and expected energy gains are discussed to gain an understanding of the potential of the EQ-scalable integrated circuits and systems. As a result, EQ scalable systems are expected to substantially improve the energy efficiency of systems for IoT, compensating the limited energy gains that will be offered by technology and voltage scaling. Download Paper (PDF; Only available from the DATE venue WiFi) |
| 16:00 | End of session Coffee Break in Exhibition Area On all conference days (Tuesday to Thursday), coffee and tea will be served during the coffee breaks at the below-mentioned times in the exhibition area. Tuesday, March 28, 2017
Wednesday, March 29, 2017
Thursday, March 30, 2017
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