Add to ORKGMachine learning algorithms are usually evaluated and developed in terms of predictive performance. Since these types of algorithms often run on large-scale data centers, they account for a significant share of the energy consumed in many countries. This position paper argues for the reasons why developing energy efficient machine learning algorithms is of great importance
An increasing number of software applications adopt machine learning (ML) components to solve real-w...
Machine learning (ML) methods has recently contributed very well in the advancement of the predictio...
Machine learning (ML) can be a valuable tool for discovering opportunities to save energy and resour...
Machine learning algorithms are usually evaluated and developed in terms of predictive performance. ...
Energy efficiency in machine learning explores how to build machine learning algorithms and models w...
Machine learning algorithms are responsible for a significant amount of computations. These computat...
Energy consumption has been widely studied in the computer architecture field for decades. While the...
International audienceWhen designing electronic systems, a standard technique to reduce the energy c...
Energy efficiency is one of the most important issues for large-scale server systems in current clou...
Advanced computing systems have long been enablers for breakthroughs in Machine Learning (ML) algori...
Machine Learning (ML) techniques, especially Deep Neural Networks (DNNs), have been driving innovati...
International audienceThis paper contributes towards better understanding the energy consumption tra...
Large-scale data centers account for a significant share of the energy consumption in many countries...
Energy efficiency is the use of technology that requires less energy to perform the same task. It wa...
An increasing number of software applications adopt machine learning (ML) components to solve real-w...
Machine learning (ML) methods has recently contributed very well in the advancement of the predictio...
Machine learning (ML) can be a valuable tool for discovering opportunities to save energy and resour...
Machine learning algorithms are usually evaluated and developed in terms of predictive performance. ...
Energy efficiency in machine learning explores how to build machine learning algorithms and models w...
Machine learning algorithms are responsible for a significant amount of computations. These computat...
Energy consumption has been widely studied in the computer architecture field for decades. While the...
International audienceWhen designing electronic systems, a standard technique to reduce the energy c...
Energy efficiency is one of the most important issues for large-scale server systems in current clou...
Advanced computing systems have long been enablers for breakthroughs in Machine Learning (ML) algori...
Machine Learning (ML) techniques, especially Deep Neural Networks (DNNs), have been driving innovati...
International audienceThis paper contributes towards better understanding the energy consumption tra...
Large-scale data centers account for a significant share of the energy consumption in many countries...
Energy efficiency is the use of technology that requires less energy to perform the same task. It wa...
An increasing number of software applications adopt machine learning (ML) components to solve real-w...
Machine learning (ML) methods has recently contributed very well in the advancement of the predictio...
Machine learning (ML) can be a valuable tool for discovering opportunities to save energy and resour...