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Large digital signal processing engines are required to meet the hard real-time constraints imposed by digital audio applications. Appropriate topologies and resource allocation strategies are necessary to efficiently utilise a sea of processors: Task scheduling is considered in the context of allocating complex console taskforces onto such hybrid multiprocessors. Novel scalable architectures are assessed and the impact of design decisions evaluated.
Author (s): Linton, Ken;
Gould, G. Lee;
Terepin, Steve;
Purvis, Alan;
Affiliation:
SEAS, University of Durham, Durham, England ; Solid State Logic Ltd.
(See document for exact affiliation information.)
AES Convention: 89
Paper Number:2972
Publication Date:
1990-09-06
Session subject:
Digital Audio Technology
DOI:
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Linton, Ken; Gould, G. Lee; Terepin, Steve; Purvis, Alan; 1990; Optimizing Massive Parallel Architectures for Real-Time Digital Audio [PDF]; SEAS, University of Durham, Durham, England ; Solid State Logic Ltd.; Paper 2972; Available from: https://aes.org/publications/elibrary-page/?id=5721
Linton, Ken; Gould, G. Lee; Terepin, Steve; Purvis, Alan; Optimizing Massive Parallel Architectures for Real-Time Digital Audio [PDF]; SEAS, University of Durham, Durham, England ; Solid State Logic Ltd.; Paper 2972; 1990 Available: https://aes.org/publications/elibrary-page/?id=5721
@inproceedings{Linton1990optimizing,
title={{Optimizing Massive Parallel Architectures for Real-Time Digital Audio}},
author={Linton, Ken and Gould, G. Lee and Terepin, Steve and Purvis, Alan},
year={1990},
month={sep},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 2972; AES Convention 89; September 1990},
number={2972},
organization={AES},
}
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