A primer on memory persistency (Record no. 33011)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240318b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031791932
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.16
Item number GOG
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gogte, Vaibhav
245 ## - TITLE STATEMENT
Title A primer on memory persistency
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2022
Place of publication, distribution, etc Cham :
300 ## - PHYSICAL DESCRIPTION
Extent xix, 95 p. ;
Other physical details ill., (some col.),
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 93.50
Price type code
Unit of pricing 93.50
490 ## - SERIES STATEMENT
Series statement Synthesis Lectures on Computer Architecture,
Volume number/sequential designation 1935-3243
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Undo logging
Topical term or geographic name as entry element Persist order
Topical term or geographic name as entry element Sequential consistency
Topical term or geographic name as entry element Failure atomicity
Topical term or geographic name as entry element Hardware Mechanism
Topical term or geographic name as entry element Memory persistency models
Topical term or geographic name as entry element Persistent Memories
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kolli, Aasheesh
Personal name Wenisch, Thomas F.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2024-03-15 5141.57 004.16 GOG 034829 2024-03-19 Books

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