Language Support for Memory Persistency

Aasheesh Kolli; Vaibhav Gogte; Ali Saidi; Stephan DIestelhorst; William Wang; Peter M. Chen; Satish Narayanasamy; Thomas F. Wenisch

doi:10.1109/MM.2019.2910821

Language Support for Memory Persistency

Aasheesh Kolli, Vaibhav Gogte, Ali Saidi, Stephan DIestelhorst, William Wang, Peter M. Chen, Satish Narayanasamy, Thomas F. Wenisch

Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Memory persistency models enable maintaining recoverable data structures in persistent memories and prior work has proposed ISA-level persistency models. In addition to these models, we argue for extending language-level memory models to provide persistence semantics. We present a taxonomy of guarantees a language-level persistency model could provide and characterize their programmability and performance.

Original language	English (US)
Article number	8692431
Pages (from-to)	94-102
Number of pages	9
Journal	IEEE Micro
Volume	39
Issue number	3
DOIs	https://doi.org/10.1109/MM.2019.2910821
State	Published - May 1 2019

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/MM.2019.2910821

Cite this

@article{3aa20005806f41959f44f5b3dc802cf8,

title = "Language Support for Memory Persistency",

abstract = "Memory persistency models enable maintaining recoverable data structures in persistent memories and prior work has proposed ISA-level persistency models. In addition to these models, we argue for extending language-level memory models to provide persistence semantics. We present a taxonomy of guarantees a language-level persistency model could provide and characterize their programmability and performance.",

author = "Aasheesh Kolli and Vaibhav Gogte and Ali Saidi and Stephan DIestelhorst and William Wang and Chen, {Peter M.} and Satish Narayanasamy and Wenisch, {Thomas F.}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.",

year = "2019",

month = may,

day = "1",

doi = "10.1109/MM.2019.2910821",

language = "English (US)",

volume = "39",

pages = "94--102",

journal = "IEEE Micro",

issn = "0272-1732",

publisher = "IEEE Computer Society",

number = "3",

}

TY - JOUR

T1 - Language Support for Memory Persistency

AU - Kolli, Aasheesh

AU - Gogte, Vaibhav

AU - Saidi, Ali

AU - DIestelhorst, Stephan

AU - Wang, William

AU - Chen, Peter M.

AU - Narayanasamy, Satish

AU - Wenisch, Thomas F.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - Memory persistency models enable maintaining recoverable data structures in persistent memories and prior work has proposed ISA-level persistency models. In addition to these models, we argue for extending language-level memory models to provide persistence semantics. We present a taxonomy of guarantees a language-level persistency model could provide and characterize their programmability and performance.

AB - Memory persistency models enable maintaining recoverable data structures in persistent memories and prior work has proposed ISA-level persistency models. In addition to these models, we argue for extending language-level memory models to provide persistence semantics. We present a taxonomy of guarantees a language-level persistency model could provide and characterize their programmability and performance.

UR - http://www.scopus.com/inward/record.url?scp=85064637924&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064637924&partnerID=8YFLogxK

U2 - 10.1109/MM.2019.2910821

DO - 10.1109/MM.2019.2910821

M3 - Article

AN - SCOPUS:85064637924

SN - 0272-1732

VL - 39

SP - 94

EP - 102

JO - IEEE Micro

JF - IEEE Micro

IS - 3

M1 - 8692431

ER -

Language Support for Memory Persistency

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this