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The Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments
The Regularized Fast Hartley Transform provides the reader with the tools necessary to both understand the proposed new formulation and to implement simple design variations that offer clear implementational advantages, both practical and theoretical, over more conventional complex-data solutions to...
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Lenguaje: | eng |
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Springer
2010
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Acceso en línea: | http://cds.cern.ch/record/1488395 |
_version_ | 1780926280461451264 |
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author | Jones, Keith |
author_facet | Jones, Keith |
author_sort | Jones, Keith |
collection | CERN |
description | The Regularized Fast Hartley Transform provides the reader with the tools necessary to both understand the proposed new formulation and to implement simple design variations that offer clear implementational advantages, both practical and theoretical, over more conventional complex-data solutions to the problem. The highly-parallel formulation described is shown to lead to scalable and device-independent solutions to the latency-constrained version of the problem which are able to optimize the use of the available silicon resources, and thus to maximize the achievable computational density, th |
id | cern-1488395 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2010 |
publisher | Springer |
record_format | invenio |
spelling | cern-14883952021-04-22T00:11:21Zhttp://cds.cern.ch/record/1488395engJones, KeithThe Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained EnvironmentsMathematical Physics and Mathematics The Regularized Fast Hartley Transform provides the reader with the tools necessary to both understand the proposed new formulation and to implement simple design variations that offer clear implementational advantages, both practical and theoretical, over more conventional complex-data solutions to the problem. The highly-parallel formulation described is shown to lead to scalable and device-independent solutions to the latency-constrained version of the problem which are able to optimize the use of the available silicon resources, and thus to maximize the achievable computational density, thSpringeroai:cds.cern.ch:14883952010 |
spellingShingle | Mathematical Physics and Mathematics Jones, Keith The Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments |
title | The Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments |
title_full | The Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments |
title_fullStr | The Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments |
title_full_unstemmed | The Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments |
title_short | The Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments |
title_sort | regularized fast hartley transform: optimal formulation of real-data fast fourier transform for silicon-based implementation in resource-constrained environments |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/1488395 |
work_keys_str_mv | AT joneskeith theregularizedfasthartleytransformoptimalformulationofrealdatafastfouriertransformforsiliconbasedimplementationinresourceconstrainedenvironments AT joneskeith regularizedfasthartleytransformoptimalformulationofrealdatafastfouriertransformforsiliconbasedimplementationinresourceconstrainedenvironments |