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Computing with memory for energy-efficient robust systems
This book analyzes energy and reliability as major challenges faced by designers of computing frameworks in the nanometer technology regime. The authors describe the existing solutions to address these challenges and then reveal a new reconfigurable computing platform, which leverages high-density...
Autores principales: | , |
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Lenguaje: | eng |
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Springer
2013
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-1-4614-7798-3 http://cds.cern.ch/record/1701427 |
_version_ | 1780936270378172416 |
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author | Paul, Somnath Bhunia, Swarup |
author_facet | Paul, Somnath Bhunia, Swarup |
author_sort | Paul, Somnath |
collection | CERN |
description | This book analyzes energy and reliability as major challenges faced by designers of computing frameworks in the nanometer technology regime. The authors describe the existing solutions to address these challenges and then reveal a new reconfigurable computing platform, which leverages high-density nanoscale memory for both data storage and computation to maximize the energy-efficiency and reliability. The energy and reliability benefits of this new paradigm are illustrated and the design challenges are discussed. Various hardware and software aspects of this exciting computing paradigm are de |
id | cern-1701427 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Springer |
record_format | invenio |
spelling | cern-17014272021-04-21T21:02:29Zdoi:10.1007/978-1-4614-7798-3http://cds.cern.ch/record/1701427engPaul, SomnathBhunia, SwarupComputing with memory for energy-efficient robust systemsComputing and ComputersThis book analyzes energy and reliability as major challenges faced by designers of computing frameworks in the nanometer technology regime. The authors describe the existing solutions to address these challenges and then reveal a new reconfigurable computing platform, which leverages high-density nanoscale memory for both data storage and computation to maximize the energy-efficiency and reliability. The energy and reliability benefits of this new paradigm are illustrated and the design challenges are discussed. Various hardware and software aspects of this exciting computing paradigm are deSpringeroai:cds.cern.ch:17014272013 |
spellingShingle | Computing and Computers Paul, Somnath Bhunia, Swarup Computing with memory for energy-efficient robust systems |
title | Computing with memory for energy-efficient robust systems |
title_full | Computing with memory for energy-efficient robust systems |
title_fullStr | Computing with memory for energy-efficient robust systems |
title_full_unstemmed | Computing with memory for energy-efficient robust systems |
title_short | Computing with memory for energy-efficient robust systems |
title_sort | computing with memory for energy-efficient robust systems |
topic | Computing and Computers |
url | https://dx.doi.org/10.1007/978-1-4614-7798-3 http://cds.cern.ch/record/1701427 |
work_keys_str_mv | AT paulsomnath computingwithmemoryforenergyefficientrobustsystems AT bhuniaswarup computingwithmemoryforenergyefficientrobustsystems |