Snippets

Author:

Simon Doug1,Wimmer Christian1,Urban Bernhard2,Duboscq Gilles1,Stadler Lukas1,Würthinger Thomas1

Affiliation:

1. Oracle Labs, Oracle Parkway, Redwood Shores, CA

2. Institute for System Software, Johannes Kepler University Linz, Austria

Abstract

When building a compiler for a high-level language, certain intrinsic features of the language must be expressed in terms of the resulting low-level operations. Complex features are often expressed by explicitly weaving together bits of low-level IR, a process that is tedious, error prone, difficult to read, difficult to reason about, and machine dependent. In the Graal compiler for Java, we take a different approach: we use snippets of Java code to express semantics in a high-level, architecture-independent way. Two important restrictions make snippets feasible in practice: they are compiler specific, and they are explicitly prepared and specialized. Snippets make Graal simpler and more portable while still capable of generating machine code that can compete with other compilers of the Java HotSpot VM.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Information Systems,Software

Reference26 articles.

1. The Jalapeño virtual machine

2. Implementing jalapeño in Java

3. RPython

4. Apache Software Foundation. 2011. Dynamic Runtime Layer Virtual Machine. Retrieved from http://harmony.apache.org/subcomponents/drlvm/. Apache Software Foundation. 2011. Dynamic Runtime Layer Virtual Machine. Retrieved from http://harmony.apache.org/subcomponents/drlvm/.

5. The DaCapo benchmarks

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploiting Partially Context-sensitive Profiles to Improve Performance of Hot Code;ACM Transactions on Programming Languages and Systems;2023-12

2. Optimization-Aware Compiler-Level Event Profiling;ACM Transactions on Programming Languages and Systems;2023-06-26

3. Amaru;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2022-07-09

4. Enabling pipeline parallelism in heterogeneous managed runtime environments via batch processing;Proceedings of the 18th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments;2022-02-25

5. Automatically exploiting the memory hierarchy of GPUs through just-in-time compilation;Proceedings of the 17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments;2021-04-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3