Profiling the fault tolerance for the adaptive protein processing associative memory

Omer Qadir; Jon Timmis; Gianluca Tempesti; Andy Tyrrell

doi:10.1109/AHS.2012.6268658

Profiling the fault tolerance for the adaptive protein processing associative memory

Omer Qadir^*, Jon Timmis, Gianluca Tempesti, Andy Tyrrell

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The Protein Processor Associative Memory (PPAM) is a novel hardware architecture for a distributed, decentralised bidirectional, hetero-associative memory, that can adapt online to changes in the training data. The PPAM is fundamentally different from traditional processing methods that tend to use arithmetic operations to perform computation. In this paper, we evaluate the fault tolerant properties of the PPAM and show that, given a sufficiently large number of Conflict-Resolving nodes in the network, faults result in graceful degradation and individual nodes are not critical to the correct operation of the whole.

Original language	English
Title of host publication	Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012
Pages	246-253
Number of pages	8
DOIs	https://doi.org/10.1109/AHS.2012.6268658
Publication status	Published - 1 Oct 2012
Event	2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012 - Erlangen, Germany Duration: 25 Jun 2012 → 28 Jun 2012

Conference

Conference	2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012
Country/Territory	Germany
City	Erlangen
Period	25/06/12 → 28/06/12

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10.1109/AHS.2012.6268658

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title = "Profiling the fault tolerance for the adaptive protein processing associative memory",

abstract = "The Protein Processor Associative Memory (PPAM) is a novel hardware architecture for a distributed, decentralised bidirectional, hetero-associative memory, that can adapt online to changes in the training data. The PPAM is fundamentally different from traditional processing methods that tend to use arithmetic operations to perform computation. In this paper, we evaluate the fault tolerant properties of the PPAM and show that, given a sufficiently large number of Conflict-Resolving nodes in the network, faults result in graceful degradation and individual nodes are not critical to the correct operation of the whole.",

author = "Omer Qadir and Jon Timmis and Gianluca Tempesti and Andy Tyrrell",

year = "2012",

month = oct,

day = "1",

doi = "10.1109/AHS.2012.6268658",

language = "English",

isbn = "9781467319157",

pages = "246--253",

booktitle = "Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012",

note = "2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012 ; Conference date: 25-06-2012 Through 28-06-2012",

}

Qadir, O, Timmis, J , Tempesti, G & Tyrrell, A 2012, Profiling the fault tolerance for the adaptive protein processing associative memory. in Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012., 6268658, pp. 246-253, 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012, Erlangen, Germany, 25/06/12. https://doi.org/10.1109/AHS.2012.6268658

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AU - Timmis, Jon

AU - Tempesti, Gianluca

AU - Tyrrell, Andy

PY - 2012/10/1

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N2 - The Protein Processor Associative Memory (PPAM) is a novel hardware architecture for a distributed, decentralised bidirectional, hetero-associative memory, that can adapt online to changes in the training data. The PPAM is fundamentally different from traditional processing methods that tend to use arithmetic operations to perform computation. In this paper, we evaluate the fault tolerant properties of the PPAM and show that, given a sufficiently large number of Conflict-Resolving nodes in the network, faults result in graceful degradation and individual nodes are not critical to the correct operation of the whole.

AB - The Protein Processor Associative Memory (PPAM) is a novel hardware architecture for a distributed, decentralised bidirectional, hetero-associative memory, that can adapt online to changes in the training data. The PPAM is fundamentally different from traditional processing methods that tend to use arithmetic operations to perform computation. In this paper, we evaluate the fault tolerant properties of the PPAM and show that, given a sufficiently large number of Conflict-Resolving nodes in the network, faults result in graceful degradation and individual nodes are not critical to the correct operation of the whole.

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DO - 10.1109/AHS.2012.6268658

M3 - Conference contribution

AN - SCOPUS:84866661296

SN - 9781467319157

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BT - Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012

T2 - 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012

Y2 - 25 June 2012 through 28 June 2012

ER -

Profiling the fault tolerance for the adaptive protein processing associative memory

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