000 a
999 _c33011
_d33011
008 240318b xxu||||| |||| 00| 0 eng d
020 _a9783031791932
082 _a004.16
_bGOG
100 _aGogte, Vaibhav
245 _aA primer on memory persistency
260 _bSpringer,
_c2022
_aCham :
300 _axix, 95 p. ;
_bill., (some col.),
_c24 cm
365 _b93.50
_c
_d93.50
490 _aSynthesis Lectures on Computer Architecture,
_v1935-3243
504 _aIncludes bibliographical references.
520 _aThis 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 _aUndo logging
650 _aPersist order
650 _aSequential consistency
650 _aFailure atomicity
650 _aHardware Mechanism
650 _aMemory persistency models
650 _aPersistent Memories
700 _aKolli, Aasheesh
700 _aWenisch, Thomas F.
942 _2ddc
_cBK