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The Spert-II fixed point vector microprocessor system performs training and recall faster than commercial workstations for neural networks used in speech recognition research. We have packaged a prototype full custom vector microprocessor, TO, as the Spert-II (Synthetic Perceptron Testbed II) workstation accelerator system. We originally developed Spert-II to accelerate multiparameter neural network training for speech recognition research. Our speech research algorithms constantly change. Also, neural nets are often integrated with other tasks to form complete applications. We thus desired a general purpose, easily programmable accelerator that could speed up a range of tasks.
Wawrzynek et al. (Fri,) studied this question.
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