Temporal Computing – A New Form of Computation

Eager Recirculating Memory to Alleviate the Von Neumann Bottleneck.

2016

  • Jonathan Edwards
  • Dr Simon O'Keefe

Awarded best poster; 15th International Conference on Unconventional Computation and Natural Computation, UCNC 2016, Manchester, UK, 11-15 July 2016

Paper publication; IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, 6-9 December 2016

Abstract.

This paper presents an examination of channel based time delays and their application as units which perform storage and computation. We describe the implementation of compound arithmetic operations, and show that by recirculating the impulses along a channel, both memory and computation can be achieved on the same general channel unit. In addition, this approach has the further advantage of performing arithmetic simplification eagerly, so that the resultant use of memory is optimised by the intermediate processing during memory circulation phases.

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