Low-Power, Massively Parallel, Energy-Efficient Supercomputers

2018 ◽  
pp. 20-61
Author(s):  
IBM Blue Gene Team
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Massively Parallel

scholarly journals Low Power and Energy Efficient Street Light System Using IoT

2021 ◽  
Vol 1084 (1) ◽  
pp. 012120
Author(s):  
M Srinivasan ◽  
P Manojkumar ◽  
A Dheepancharavarthy
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Light System ◽  
Power And Energy

scholarly journals Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Eljona Zanaj ◽  
Giuseppe Caso ◽  
Luca De Nardis ◽  
Alireza Mohammadpour ◽  
Özgü Alay ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Low Power ◽  
Energy Efficient ◽  
Wide Area ◽  
Wide Area Networks ◽  
The Internet ◽  
Extensive Review ◽  
Research Directions ◽  
The Internet Of Things

In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions.

Energy Efficient VLSI Based DCT Architecture with Accurate Error Compensation

2014 ◽  
Vol 626 ◽  
pp. 127-135 ◽  
Author(s):  
D. Jessintha ◽  
M. Kannan ◽  
P.L. Srinivasan
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Time Complexity ◽  
High Performance ◽  
Low Power Consumption ◽  
Distributed Arithmetic ◽  
Technology Scaling ◽  
Truncation Errors ◽  
History Of ◽  
Technology Dependency

Discrete Cosine Transform (DCT) is commonly used in image compression. In the history of DCT, a milestone was the Distributed Arithmetic (DA) technique. Due to the technology dependency a multiplier-less computation was built with DA based technique. It occupied less area but the throughput is less. Later, due to the technology scaling, multiplier based architectures can be easily adapted for low-power and high-performance architecture. Fixed width multipliers [1]-[7] reduces hardware and time complexity. In this work, Radix 4 fixed width multiplier is adapted with DCT architecture due to low power consumption and saves 30% power. In order to reduce truncation errors caused during fixed width multiplication, an estimation circuit is designed based on conditional probability theory.

Asynchronous DSP for low-power energy-efficient embedded systems

2011 ◽  
Vol 35 (3) ◽  
pp. 318-328 ◽  
Author(s):  
Yiqiong Shi ◽  
Bah-Hwee Gwee ◽  
Joseph Chang
Keyword(s):  
Embedded Systems ◽  
Low Power ◽  
Energy Efficient

scholarly journals The Importance of Energy Efficiency in Engineering and Informatics

2021 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Digital Circuits ◽  
Reducing Power ◽  
Digital Filtering ◽  
Low Power Design ◽  
Engineering Systems ◽  
Algorithmic Approach ◽  
Modern Engineering ◽  
Power Frequency

Techniques for reducing power consumption in digital circuits that underly automatic control of modern engineering systems are of paramount importance due to the simultaneously growing demands for portable multimedia devices and energy conservation. Digital filters, being ubiquitous in such devices, are thus a prime candidate for low power design. We review an algorithmic approach to low power frequency-selective digital filtering, an essential ingredient for energy efficient technological innovation in many domains.

scholarly journals The Importance of Energy Efficiency in Engineering and Informatics

2021 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Digital Circuits ◽  
Reducing Power ◽  
Digital Filtering ◽  
Low Power Design ◽  
Engineering Systems ◽  
Algorithmic Approach ◽  
Modern Engineering ◽  
Power Frequency

Techniques for reducing power consumption in digital circuits that underly automatic control of modern engineering systems are of paramount importance due to the simultaneously growing demands for portable multimedia devices and energy conservation. Digital filters, being ubiquitous in such devices, are thus a prime candidate for low power design. We review an algorithmic approach to low power frequency-selective digital filtering, an essential ingredient for energy efficient technological innovation in many domains.

scholarly journals Energy Efficient Composite Metric Based Routing Protocol for Internet of Things

2020 ◽  
Vol 26 (11) ◽  
pp. 1366-1381
Author(s):  
Sathishkumar Natesan ◽  
Rajakumar Krishnan
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Link Quality ◽  
Traffic Load ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Hop Count ◽  
Battery Discharge

The Routing Protocol for Low Power and Lossy Networks (RPL) is operated by gadgets comprised of many devices of embedded type with limited energy, memory as well as resources that do their process. The improvements in the life of the network and energy conservation are the key challenging features in Low Power and Lossy Networks (LLN). Obviously, the LLN has a key strategic part in routing. The Internet of Things (IoT) device is expected to make the apt choice. In LLN, the poor routing choice leads to traffic congestion, reduction in power as well as packet loss ratio. The task in the proposal analyzes Delay (D), Load (L) and Battery Discharge Index (BDI) pivoted Energy Efficient Composite Metric Routing (EECMR) protocol for LLN. The performance of the work in the proposal is evaluated by the COOJA simulator. It outperforms with respect to Network Lifetime (NL), Delay as well as Packet Delivery Ratio (PDR) contrasted to the routing metrics like Traffic Load (TL), Link Quality (LQ), Residual Energy (RE), RE-Battery Discharge Index (RE-BDI) and Hop Count (HC).

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