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dc.contributor.editorPinho, Luis Miguel
dc.contributor.editorQuinones, Eduardo
dc.contributor.editorBertogna, Marko
dc.date.accessioned2022-11-29T04:03:19Z
dc.date.available2022-11-29T04:03:19Z
dc.date.issued2018
dc.date.submitted2022-11-28T16:04:01Z
dc.identifierONIX_20221128_9781000794687_29
dc.identifierhttps://library.oapen.org/handle/20.500.12657/59745
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/94310
dc.description.abstractNowadays, the prevalence of computing systems in our lives is so ubiquitous that we live in a cyber-physical world dominated by computer systems, from pacemakers to cars and airplanes. These systems demand for more computational performance to process large amounts of data from multiple data sources with guaranteed processing times. Actuating outside of the required timing bounds may cause the failure of the system, being vital for systems like planes, cars, business monitoring, e-trading, etc. High-Performance and Time-Predictable Embedded Computing presents recent advances in software architecture and tools to support such complex systems, enabling the design of embedded computing devices which are able to deliver high-performance whilst guaranteeing the application required timing bounds. Technical topics discussed in the book include:  Parallel embedded platforms Programming models Mapping and scheduling of parallel computations Timing and schedulability analysis Runtimes and operating systemsThe work reflected in this book was done in the scope of the European project P SOCRATES, funded under the FP7 framework program of the European Commission. High-performance and time-predictable embedded computing is ideal for personnel in computer/communication/embedded industries as well as academic staff and master/research students in computer science, embedded systems, cyber-physical systems and internet-of-things.
dc.languageEnglish
dc.rightsopen access
dc.subject.otherComputer architecture and logic design
dc.subject.otherEnergy
dc.titleHigh Performance Embedded Computing
dc.typebook
oapen.identifier.doi10.1201/9781003338413
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.isFundedByEuropean Commission
oapen.relation.isFundedBy3983007a-5726-4f1e-b9df-3fbc771f2916
oapen.relation.isbn9781000794687
oapen.relation.isbn9781003338413
oapen.relation.isbn9788793609693
oapen.collectionEU collection
oapen.imprintRiver Publishers
oapen.pages224
oapen.grant.number[...]
peerreview.review.typeProposal
peerreview.anonymitySingle-anonymised
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
dc.relationisFundedBy3983007a-5726-4f1e-b9df-3fbc771f2916
peerreview.titleProposal review
dc.subjectClassificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design
dc.subjectClassificationthema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy


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