Published January 29, 2020
| Version v1
Publication
Performance Study of Software AER-Based Convolutions on a Parallel Supercomputer
Description
This paper is based on the simulation of a convolution model for bioinspired
neuromorphic systems using the Address-Event-Representation (AER)
philosophy and implemented in the supercomputer CRS of the University of
Cadiz (UCA). In this work we improve the runtime of the simulation, by
dividing an image into smaller parts before AER convolution and running each
operation in a node of the cluster. This research involves a test cases design in
which the optimal parameters are set to run the AER convolution in parallel
processors. These cases consist on running the convolution taking an image
divided in different number of parts, applying to each part a Sobel filter for
edge detection, and based on the AER-TOOL simulator. Execution times are
compared for all cases and the optimal configuration of the system is discussed.
In general, CRS obtain better performances when the image is divided than for
the whole image.
Abstract
Ministerio de Ciencia e Innovación TEC2009-10639-C04-02Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/92476
- URN
- urn:oai:idus.us.es:11441/92476