منابع مشابه
Machine Learning for On-Line Hardware Reconfiguration
As computer systems continue to increase in complexity, the need for AI-based solutions is becoming more urgent. For example, high-end servers that can be partitioned into logical subsystems and repartitioned on the fly are now becoming available. This development raises the possibility of reconfiguring distributed systems online to optimize for dynamically changing workloads. However, it also ...
متن کاملMachine Learning for On-Line Hardware Reconfiguration
As computer systems continue to increase in complexity, the need for AI-based solutions is becoming more urgent. For example, high-end servers that can be partitioned into logical subsystems and repartitioned on the fly are now becoming available. This development raises the possibility of reconfiguring distributed systems online to optimize for dynamically changing workloads. However it also i...
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A common step in drug design is the formation of a quantitative structure-activity relationship (QSAR) to model an exploratory series of compounds. A QSAR generalizes how the structure of a compound relates to its biological activity. There is growing interest in the application of machine learning techniques in QSAR modeling research. However, no single technique can claim to be uniformly supe...
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Tailoring the machine hardware to varying needs of the software running on top of it is crucial to achieving energy-efficient execution. However, the characteristics of the code are non-deterministic and depend on system environments, precluding the use of static methods for tuning the hardware to match the requirements. We propose the use of machine learning models which can be trained to sugg...
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ژورنال
عنوان ژورنال: International Journal of Artificial Intelligence & Applications
سال: 2018
ISSN: 0976-2191,0975-900X
DOI: 10.5121/ijaia.2018.9105