Task scheduling-using neural networks within hardware co-processors

The work described is part of an overall research programme relating to real-time embedded systems. Specifically it is concerned with: the development of scheduling policies based on neural network (NN) principles upgraded with genetic learning; the application of hardware co-processors to task sche...

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Hauptverfasser: Cooling, J.E., Korousic-Seljak, B.
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Korousic-Seljak, B.
description The work described is part of an overall research programme relating to real-time embedded systems. Specifically it is concerned with: the development of scheduling policies based on neural network (NN) principles upgraded with genetic learning; the application of hardware co-processors to task scheduling (J.E. Cooling, 1993); and the integration of hardware and software facilities to provide full real-time executive support to application software (B. Korousic and J.E. Cooling, 1994).< >
doi_str_mv 10.1109/MELCON.1994.380914
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identifier ISBN: 0780317726
ispartof Proceedings of MELECON '94. Mediterranean Electrotechnical Conference, 1994, p.317-320 vol.1
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Application software
Cooling
Coprocessors
Dynamic scheduling
Embedded computing
Neural network hardware
Neural networks
Processor scheduling
Real time systems
Timing
title Task scheduling-using neural networks within hardware co-processors
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