Implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systems

Link-time optimization and static analyzing systems scalability problem is of current importance: in spite of growth of performance and memory volume of modern computers programs grow in size and complexity as much. In particular, this is actual for such complex and large programs as browsers, opera...

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Main Author: Ksenia Dolgorukova
Format: Article
Language:English
Published: Ivannikov Institute for System Programming of the Russian Academy of Sciences 2018-10-01
Series:Труды Института системного программирования РАН
Subjects:
Online Access:https://ispranproceedings.elpub.ru/jour/article/view/916
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spelling doaj-8177b26f89b94d52b9f8f6347fb9ba5c2020-11-25T01:56:25Zeng Ivannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262018-10-012769711010.15514/ISPRAS-2015-27(6)-7916Implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systemsKsenia Dolgorukova0ИСП РАНLink-time optimization and static analyzing systems scalability problem is of current importance: in spite of growth of performance and memory volume of modern computers programs grow in size and complexity as much. In particular, this is actual for such complex and large programs as browsers, operation systems, etc. This paper introduces memory scalability approach for LLVM-based link-time optimization system and proposes technique for applying this approach to static analyzing systems. Proposed approach was implemented and tested on SPEC CPU2000 benchmark suite [2].https://ispranproceedings.elpub.ru/jour/article/view/916межмодульные анализ и оптимизациисистемы межмодульных оптимизациймасштабирование
collection DOAJ
language English
format Article
sources DOAJ
author Ksenia Dolgorukova
spellingShingle Ksenia Dolgorukova
Implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systems
Труды Института системного программирования РАН
межмодульные анализ и оптимизации
системы межмодульных оптимизаций
масштабирование
author_facet Ksenia Dolgorukova
author_sort Ksenia Dolgorukova
title Implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systems
title_short Implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systems
title_full Implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systems
title_fullStr Implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systems
title_full_unstemmed Implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systems
title_sort implementation of memory scalability approach for llvm-based link-time optimization and static analyzing systems
publisher Ivannikov Institute for System Programming of the Russian Academy of Sciences
series Труды Института системного программирования РАН
issn 2079-8156
2220-6426
publishDate 2018-10-01
description Link-time optimization and static analyzing systems scalability problem is of current importance: in spite of growth of performance and memory volume of modern computers programs grow in size and complexity as much. In particular, this is actual for such complex and large programs as browsers, operation systems, etc. This paper introduces memory scalability approach for LLVM-based link-time optimization system and proposes technique for applying this approach to static analyzing systems. Proposed approach was implemented and tested on SPEC CPU2000 benchmark suite [2].
topic межмодульные анализ и оптимизации
системы межмодульных оптимизаций
масштабирование
url https://ispranproceedings.elpub.ru/jour/article/view/916
work_keys_str_mv AT kseniadolgorukova implementationofmemoryscalabilityapproachforllvmbasedlinktimeoptimizationandstaticanalyzingsystems
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