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Memento mori: dynamic allocation-site-based optimizations

Authors:

Daniel Clifford,

Michael Stanton,

Ben L. TitzerAuthors Info & Claims

ACM SIGPLAN Notices, Volume 50, Issue 11

Pages 105 - 117

https://doi.org/10.1145/2887746.2754181

Published: 14 June 2015 Publication History

Abstract

Languages that lack static typing are ubiquitous in the world of mobile and web applications. The rapid rise of larger applications like interactive web GUIs, games, and cryptography presents a new range of implementation challenges for modern virtual machines to close the performance gap between typed and untyped languages. While all languages can benefit from efficient automatic memory management, languages like JavaScript present extra thrill with innocent-looking but difficult features like dynamically-sized arrays, deletable properties, and prototypes. Optimizing such languages requires complex dynamic techniques with more radical object layout strategies such as dynamically evolving representations for arrays. This paper presents a general approach for gathering temporal allocation site feedback that tackles both the general problem of object lifetime estimation and improves optimization of these problematic language features. We introduce a new implementation technique where allocation mementos processed by the garbage collector and runtime system efficiently tie objects back to allocation sites in the program and dynamically estimate object lifetime, representation, and size to inform three optimizations: pretenuring, pretransitioning, and presizing. Unlike previous work on pretenuring, our system utilizes allocation mementos to achieve fully dynamic allocation-site-based pretenuring in a production system. We implement all of our techniques in V8, a high performance virtual machine for JavaScript, and demonstrate solid performance improvements across a range of benchmarks.

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Cited By

Navasca CMaas MManiatis PLim HXu GBlackburn SPetrank E(2023)Predicting Dynamic Properties of Heap Allocations using Neural Networks Trained on Static Code: An Intellectual AbstractProceedings of the 2023 ACM SIGPLAN International Symposium on Memory Management10.1145/3591195.3595275(43-57)Online publication date: 6-Jun-2023
https://dl.acm.org/doi/10.1145/3591195.3595275
Serrano M(2021)Of JavaScript AOT compilation performanceProceedings of the ACM on Programming Languages10.1145/34735755:ICFP(1-30)Online publication date: 19-Aug-2021
https://dl.acm.org/doi/10.1145/3473575
Peters NPark SClifford DKyostila SMcllroy RMeurer BPayer HChakraborty S(2018)Phase-Aware Web Browser Power Management on HMP PlatformsProceedings of the 2018 International Conference on Supercomputing10.1145/3205289.3205293(274-283)Online publication date: 12-Jun-2018
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Index Terms

Memento mori: dynamic allocation-site-based optimizations
1. Software and its engineering
  1. Software notations and tools
    1. Compilers

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Information

Published In

cover image ACM SIGPLAN Notices

ACM SIGPLAN Notices Volume 50, Issue 11

ISMM '15

November 2015

156 pages

ISSN:0362-1340

EISSN:1558-1160

DOI:10.1145/2887746

Editor:
Matthew Fluet
Rochester Institute of Technology

Issue’s Table of Contents

ISMM '15: Proceedings of the 2015 International Symposium on Memory Management
June 2015
156 pages
ISBN:9781450335898
DOI:10.1145/2754169
General Chair:
Antony L. Hosking,
Program Chair:
Michael Bond

Copyright © 2015 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 14 June 2015

Published in SIGPLAN Volume 50, Issue 11

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Cited By

Navasca CMaas MManiatis PLim HXu GBlackburn SPetrank E(2023)Predicting Dynamic Properties of Heap Allocations using Neural Networks Trained on Static Code: An Intellectual AbstractProceedings of the 2023 ACM SIGPLAN International Symposium on Memory Management10.1145/3591195.3595275(43-57)Online publication date: 6-Jun-2023
https://dl.acm.org/doi/10.1145/3591195.3595275
Serrano M(2021)Of JavaScript AOT compilation performanceProceedings of the ACM on Programming Languages10.1145/34735755:ICFP(1-30)Online publication date: 19-Aug-2021
https://dl.acm.org/doi/10.1145/3473575
Peters NPark SClifford DKyostila SMcllroy RMeurer BPayer HChakraborty S(2018)Phase-Aware Web Browser Power Management on HMP PlatformsProceedings of the 2018 International Conference on Supercomputing10.1145/3205289.3205293(274-283)Online publication date: 12-Jun-2018
https://dl.acm.org/doi/10.1145/3205289.3205293
Bruno RFerreira PJayaram KGandhi AKemme BPietzuch P(2017)POLM2Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference10.1145/3135974.3135986(147-160)Online publication date: 11-Dec-2017
https://dl.acm.org/doi/10.1145/3135974.3135986
Maas MAndersen DIsard MJavanmard MMcKinley KRaffel C(2024)Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and BeyondCommunications of the ACM10.1145/361101867:4(87-96)Online publication date: 25-Mar-2024
https://dl.acm.org/doi/10.1145/3611018
Ugawa TMarr SJones RKotselidis CProkopec A(2022)Profile Guided Offline Optimization of Hidden Class Graphs for JavaScript VMs in Embedded SystemsProceedings of the 14th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages10.1145/3563838.3567678(25-35)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1145/3563838.3567678
Onozawa HUgawa TIwasaki HWang ZWrigstad T(2021)Fusuma: double-ended threaded compactionProceedings of the 2021 ACM SIGPLAN International Symposium on Memory Management10.1145/3459898.3463903(94-106)Online publication date: 22-Jun-2021
https://dl.acm.org/doi/10.1145/3459898.3463903
Serrano M(2020)JavaScript AOT compilationACM SIGPLAN Notices10.1145/3393673.327695053:8(50-63)Online publication date: 6-Apr-2020
https://dl.acm.org/doi/10.1145/3393673.3276950
Krylov GPatrou MDueck GSiu J(2020)The Evolution of Garbage Collection in V8: Google's JavaScript Engine2020 9th Mediterranean Conference on Embedded Computing (MECO)10.1109/MECO49872.2020.9134326(1-6)Online publication date: Jun-2020
https://doi.org/10.1109/MECO49872.2020.9134326
Degenbaev ULippautz MPayer HSinger JXu H(2019)Concurrent marking of shape-changing objectsProceedings of the 2019 ACM SIGPLAN International Symposium on Memory Management10.1145/3315573.3329978(89-102)Online publication date: 23-Jun-2019
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