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A Unifying Model for Neural Nets Erol Celenbe
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ABSTRACT algorithm analysis analytical application approach approximation array arrival bandwidth behavior block buffer cache Calendar Queue Chiola communication concurrency configuration consistency model cycle defined delay described distribution DSPN efficient entities equations evaluation event example Figure flit function G-network Gelenbe graph graphical hardware IEEE implementation input instruction interconnection iteration Kautz graphs load loop Markov chain matrix memory meta-tool method module multiple multiprocessor neuron node Norton's theorem operation output packet paper parallel parameters path performance Petri nets priority queues probability Proc processing element processor protocol provides queue random variables references replicas request routing sequential sequential consistency server signal slot Slotted Aloha specification station structure switch switch-level systolic array techniques throughput tion tokens tool trace traffic transactions transistor transition translation transmission tuples update virtual channels visual wormhole wormhole routing