A Comprehensive Review of Green Computing: Past, Present, and Future Research

Paul, Showmick Guha; Saha, Arpa; Arefin, Mohammad Shamsul; Bhuiyan, Touhid; Biswas, Al Amin; Reza, Ahmed Wasif; Alotaibi, Naif M.; Alyami, Salem A.; Moni, Mohammad Ali

doi:10.1109/access.2023.3304332

Cited by 19 publications

(1 citation statement)

References 231 publications

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“…The concept of green computer vision, which we advance, highlights the application of sustainable information technology and the principles and practice within the ever-changing domain of computer vision. The term green computer vision is inspired by and defined by the application of green computing principles, 15 which refer to the practice of designing and using computer systems in a way that maximizes energy efficiency 16 and minimizes environmental impact. 17 These principles, also known as "Green IT" or "Sustainable Computing", can be applied to all aspects of technology, from the design of microchips to the development of software.…”

Section: Defining Green Computer Visionmentioning

confidence: 99%

Advancing green computer vision: principles and practices for sustainable development for real-time computer vision applications

Kramer,

Roth

2024

Real-Time Processing of Image, Depth, and Video Information 2024

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Recent algorithmic developments, specifically in deep learning, have propelled computer vision forward for practical applications. However, the high computational complexity and the resulting power consumption are often overlooked issues. This is not only a problem if the systems need to be installed in the wild, where often only a limited electricity supply is available, but also in the context of high energy consumption. To address both aspects, we explore the intersection of green artificial intelligence and real-time computer vision, focusing on the use of single-board computers. To this end, we need to take into account the limitations of single-board computers, including limited processing power and storage capacity, and demonstrate how the algorithm and data optimization ensure high-quality results, however, at a drastically reduced computational effort. Energy efficiency can be increased, aligning with the goals of Green AI and making such systems less dependent on a permanent electrical power supply.

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Section: Defining Green Computer Visionmentioning

confidence: 99%