Automatic BRAM Testing for Robust Dynamic Voltage Scaling for FPGAs

Ahmed, Ibrahim; Zhao, Shuze; Meijers, James; Trescases, Olivier; Betz, Vaughn

doi:10.1109/fpl.2018.00020

Cited by 17 publications

(6 citation statements)

References 25 publications

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“…The later function is a power management approach that allows the voltage and speed of the MCU to be altered and decreased to lower levels when not in use to reduce power consumption. Furthermore, reconfigurable solutions appear to be an excellent option for heterogeneous grains of low power by studying low consumption operating partners with extremely low static power consumption also employing a DPM system paired with DVFS approaches [52].…”

Section: Energymentioning

confidence: 99%

Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G Networks and Embedded Technologies

Messaoud¹,

Amdouni²,

Albouchi³

et al. 2023

Internet of Things - New Trends, Challenges and Hurdles

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Undeniably, the Internet of Things (IoT) ecosystem keeps on advancing at a fast speed, far above all predictions for growth and ubiquity. From sensor to cloud, this massive network continues to break technical limits in a variety of ways, and wireless sensor nodes are likely to become more prevalent as the number of Internet of Things devices increases into the trillions to connect the world and unconnected objects. However, their future in the IoT ecosystem remains uncertain, as various difficulties as with device connectivity, edge artificial intelligence (AI), security and privacy concerns, increased energy demands, the right technologies to use, and continue to attract opposite forces. This chapter provides a brief, forward-looking overview of recent trends, difficulties, and cutting-edge solutions for low-end IoT devices that use reconfigurable computing technologies like FPGA SoC and next-generation 5/6G networks. Tomorrow’s IoT devices will play a critical role. At the end of this chapter, an edge FPGA SoC computing-based IoT application is proposed, to be a novel edge computing for IoT solution with low power consumption and accelerated processing capability in data exchange.

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Section: Energymentioning

confidence: 99%

Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G Networks and Embedded Technologies

Messaoud¹,

Amdouni²,

Albouchi³

et al. 2023

Internet of Things - New Trends, Challenges and Hurdles

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show abstract

“…Journal of Lightwave Technology. 2015;34 (6):1533-1544 [52] Islam SR. The Internet of Things for health care: A comprehensive survey.…”

Section: Trend Analysismentioning

confidence: 99%

Internet of Things - New Trends, Challenges and Hurdles

2023

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The Internet of Things (IoT) refers to a network of physical devices that communicate over the Internet using sensors, software, and other technologies. It has numerous applications in fields ranging from industry (e.g., Industry 4.0) to health care (e.g., telemonitoring, mobile health).When talking about IoT, it is important to focus on two fundamental aspects: the communication mechanism and the connected devices. The IoT is a multidisciplinary field that integrates both hardware and software.The expansion in the use of IoT technology in society has not been as widespread as it has been in the field of research. Therefore, although the technology is currently at a high level of maturity, there is still a lot of room for expansion and application in society. For this reason, it is essential that the research studies carried out serve as a transfer to society and allow for the implementation of the IoT in a real environment. Even though the IoT is already being used in everyday life in the form of smart applications, research in this area focuses on more risky solutions. This book presents several recent studies on the IoT that have great potential to be extrapolated to the real world in the future. We hope that the information contained herein will inspire future advances in the area.

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“…The prevalence of computation-intensive workloads with high-performance requirements such as machine learning (ML) and data center applications [1], [2] accompanied with the advance of technology node have persuaded the FPGA vendors to integrate more resources with boosted clock rate in state-of-the-art FPGAs [3]. This, together with slowed shrinking of FPGAs supply voltage [4], have pushed these devices to a point they consume power comparable to CPUs [5]. Besides, there are prevailing energy-constrained applications in the Internet of Things (IoT) era, implemented in FPGAs, with the need for extreme energy efficiency [6], [7].…”

Section: Introductionmentioning

confidence: 99%

FPGA Energy Efficiency by Leveraging Thermal Margin

Khaleghi

Salamat

Imani

et al. 2019

2019 IEEE 37th International Conference on Computer Design (ICCD)

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FPGA devices are continuously evolving to meet high computation and performance demand for emerging applications. As a result, cutting edge FPGAs are not energy efficient as conventionally presumed to be, and therefore, aggressive power-saving techniques have become imperative. The clock rate of an FPGA-mapped design is set based on worst-case conditions to ensure reliable operation under all circumstances. This usually leaves a considerable timing margin that can be exploited to reduce power consumption by scaling voltage without lowering clock frequency. There are hurdles for such opportunistic voltage scaling in FPGAs because (a) critical paths change with designs, making timing evaluation difficult as voltage changes, (b) each FPGA resource has particular power-delay trade-off with voltage, (c) data corruption of configuration cells and memory blocks further hampers voltage scaling. In this paper, we propose a systematical approach to leverage the available thermal headroom of FPGA-mapped designs for power and energy improvement. By comprehensively analyzing the timing and power consumption of FPGA building blocks under varying temperatures and voltages, we propose a thermal-aware voltage scaling flow that effectively utilizes the thermal margin to reduce power consumption without degrading performance. We show the proposed flow can be employed for energy optimization as well, whereby power consumption and delay are compromised to accomplish the tasks with minimum energy. Lastly, we propose a simulation framework to be able to examine the efficiency of the proposed method for other applications that are inherently tolerant to a certain amount of error, granting further power saving opportunity. Experimental results over a set of industrial benchmarks indicate up to 36% power reduction with the same performance, and 66% total energy saving when energy is the optimization target.

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Automatic BRAM Testing for Robust Dynamic Voltage Scaling for FPGAs

Cited by 17 publications

References 25 publications

Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G Networks and Embedded Technologies

Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G Networks and Embedded Technologies

Internet of Things - New Trends, Challenges and Hurdles

FPGA Energy Efficiency by Leveraging Thermal Margin

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