Abstract
Summary form only given, as follows. An efficient parallel implementation of neural networks on hypercube SIMD arrays is presented. The authors show a mapping of a neural network having n nodes and e connections onto a hypercube array having (n + e) processing elements such that each update step of the neural network can be performed in 8 log2 (n + e) - 3 steps by preprocessing the weight matrix. The technique is simple and efficient and can be used on current parallel machines such as the Connection Machine.
Original language | English |
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Pages | 614 |
Number of pages | 1 |
State | Published - 1989 |
Event | IJCNN International Joint Conference on Neural Networks - Washington, DC, USA Duration: 18 Jun 1989 → 22 Jun 1989 |
Conference
Conference | IJCNN International Joint Conference on Neural Networks |
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City | Washington, DC, USA |
Period | 18/06/89 → 22/06/89 |