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A Primer on Memory Persistency (Synthesis Lectures on Computer Architecture) - Softcover

 
9783031791932: A Primer on Memory Persistency (Synthesis Lectures on Computer Architecture)
  • PublisherSpringer
  • Publication date2022
  • ISBN 10 3031791932
  • ISBN 13 9783031791932
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages116

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Gogte, Vaibhav; Kolli, Aasheesh; Wenisch, Thomas F.
Published by Springer, 2022
ISBN 10: 3031791932 ISBN 13: 9783031791932
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Gogte, Vaibhav; Kolli, Aasheesh; Wenisch, Thomas F.
Published by Springer, 2022
ISBN 10: 3031791932 ISBN 13: 9783031791932
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Gogte, Vaibhav
Published by Springer 2022-02, 2022
ISBN 10: 3031791932 ISBN 13: 9783031791932
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Vaibhav Gogte
ISBN 10: 3031791932 ISBN 13: 9783031791932
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces readers to emerging persistent memory (PM) technologies that promise the performance of dynamic random-access memory (DRAM) with the durability of traditional storage media, such as hard disks and solid-state drives (SSDs). Persistent memories (PMs), such as Intel's Optane DC persistent memories, are commercially available today. Unlike traditional storage devices, PMs can be accessed over a byte-addressable load-store interface with access latency that is comparable to DRAM. Unfortunately, existing hardware and software systems are ill-equipped to fully avail the potential of these byte-addressable memory technologies as they have been designed to access traditional storage media over a block-based interface. Several mechanisms have been explored in the research literature over the past decade to design hardware and software systems that provide high-performance access to PMs.Because PMs are durable, they can retain data across failures, such as power failures and program crashes. Upon a failure, recovery mechanisms may inspect PM data, reconstruct state and resume program execution. Correct recovery of data requires that operations to the PM are properly ordered during normal program execution. Memory persistency models define the order in which memory operations are performed at the PM. Much like memory consistency models, memory persistency models may be relaxed to improve application performance. Several proposals have emerged recently to design memory persistency models for hardware and software systems and for high-level programming languages. These proposals differ in several key aspects; they relax PM ordering constraints, introduce varying programmability burden, and introduce differing granularity of failure atomicity for PM operations.This primer provides a detailed overview of the various classes of the memory persistency models, their implementations in hardware, programming languages and software systems proposed in the recent research literature, and the PM ordering techniques employed by modern processors. 116 pp. Englisch. Seller Inventory # 9783031791932

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Gogte, Vaibhav; Kolli, Aasheesh; Wenisch, Thomas F.
Published by Springer, 2022
ISBN 10: 3031791932 ISBN 13: 9783031791932
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Vaibhav Gogte
ISBN 10: 3031791932 ISBN 13: 9783031791932
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces readers to emerging persistent memory (PM) technologies that promise the performance of dynamic random-access memory (DRAM) with the durability of traditional storage media, such as hard disks and solid-state drives (SSDs). Persistent memories (PMs), such as Intel's Optane DC persistent memories, are commercially available today. Unlike traditional storage devices, PMs can be accessed over a byte-addressable load-store interface with access latency that is comparable to DRAM. Unfortunately, existing hardware and software systems are ill-equipped to fully avail the potential of these byte-addressable memory technologies as they have been designed to access traditional storage media over a block-based interface. Several mechanisms have been explored in the research literature over the past decade to design hardware and software systems that provide high-performance access to PMs.Because PMs are durable, they can retain data across failures, such as power failures andprogram crashes. Upon a failure, recovery mechanisms may inspect PM data, reconstruct state and resume program execution. Correct recovery of data requires that operations to the PM are properly ordered during normal program execution. Memory persistency models define the order in which memory operations are performed at the PM. Much like memory consistency models, memory persistency models may be relaxed to improve application performance. Several proposals have emerged recently to design memory persistency models for hardware and software systems and for high-level programming languages. These proposals differ in several key aspects; they relax PM ordering constraints, introduce varying programmability burden, and introduce differing granularity of failure atomicity for PM operations.This primer provides a detailed overview of the various classes of the memory persistency models, their implementations in hardware, programming languages and software systems proposed in the recent research literature, and the PM ordering techniques employed by modern processors. Seller Inventory # 9783031791932

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Gogte, Vaibhav; Kolli, Aasheesh; Wenisch, Thomas F.
Published by Springer, 2022
ISBN 10: 3031791932 ISBN 13: 9783031791932
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Vaibhav, Gogte/ Aasheesh, Kolli/ Thomas F., Wenisch
Published by Springer Nature, 2022
ISBN 10: 3031791932 ISBN 13: 9783031791932
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ISBN 10: 3031791932 ISBN 13: 9783031791932
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces readers to emerging persistent memory (PM) technologies that promise the performance of dynamic random-access memory (DRAM) with the durability of traditional storage media, such as hard disks and solid-state drives (SSDs). Persistent m. Seller Inventory # 608129841

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Gogte, Vaibhav; Kolli, Aasheesh; Wenisch, Thomas F.
Published by Springer, 2022
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