APRON: A Cellular Processor Array Simulation and Hardware Design Tool
We present a software environment for the efficient simulation of cellular processor arrays (CPAs). This software (APRON) is used to explore algorithms that are designed for massively parallel fine-grained processor arrays, topographic multilayer neural networks, vision chips with SIMD processor arr...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2009-01-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2009/751687 |
id |
doaj-135eeb81d25344f49a6ad63ec20ad39b |
---|---|
record_format |
Article |
spelling |
doaj-135eeb81d25344f49a6ad63ec20ad39b2020-11-25T00:15:12ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802009-01-01200910.1155/2009/751687APRON: A Cellular Processor Array Simulation and Hardware Design ToolDavid R. W. BarrPiotr DudekWe present a software environment for the efficient simulation of cellular processor arrays (CPAs). This software (APRON) is used to explore algorithms that are designed for massively parallel fine-grained processor arrays, topographic multilayer neural networks, vision chips with SIMD processor arrays, and related architectures. The software uses a highly optimised core combined with a flexible compiler to provide the user with tools for the design of new processor array hardware architectures and the emulation of existing devices. We present performance benchmarks for the software processor array implemented on standard commodity microprocessors. APRON can be configured to use additional processing hardware if necessary and can be used as a complete graphical user interface and development environment for new or existing CPA systems, allowing more users to develop algorithms for CPA systems. http://dx.doi.org/10.1155/2009/751687 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David R. W. Barr Piotr Dudek |
spellingShingle |
David R. W. Barr Piotr Dudek APRON: A Cellular Processor Array Simulation and Hardware Design Tool EURASIP Journal on Advances in Signal Processing |
author_facet |
David R. W. Barr Piotr Dudek |
author_sort |
David R. W. Barr |
title |
APRON: A Cellular Processor Array Simulation and Hardware Design Tool |
title_short |
APRON: A Cellular Processor Array Simulation and Hardware Design Tool |
title_full |
APRON: A Cellular Processor Array Simulation and Hardware Design Tool |
title_fullStr |
APRON: A Cellular Processor Array Simulation and Hardware Design Tool |
title_full_unstemmed |
APRON: A Cellular Processor Array Simulation and Hardware Design Tool |
title_sort |
apron: a cellular processor array simulation and hardware design tool |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2009-01-01 |
description |
We present a software environment for the efficient simulation of cellular processor arrays (CPAs). This software (APRON) is used to explore algorithms that are designed for massively parallel fine-grained processor arrays, topographic multilayer neural networks, vision chips with SIMD processor arrays, and related architectures. The software uses a highly optimised core combined with a flexible compiler to provide the user with tools for the design of new processor array hardware architectures and the emulation of existing devices. We present performance benchmarks for the software processor array implemented on standard commodity microprocessors. APRON can be configured to use additional processing hardware if necessary and can be used as a complete graphical user interface and development environment for new or existing CPA systems, allowing more users to develop algorithms for CPA systems. |
url |
http://dx.doi.org/10.1155/2009/751687 |
work_keys_str_mv |
AT davidrwbarr apronacellularprocessorarraysimulationandhardwaredesigntool AT piotrdudek apronacellularprocessorarraysimulationandhardwaredesigntool |
_version_ |
1725388134401703936 |