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  1. Proceedings of the 4th Workshop on Scala (SCALA '13)
  2. An experimental study of the influence of dynamic compiler optimizations on Scala performance
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An overview of the Leon verification system: verification by translation to recursive functions
CafeSat: a modern SAT solver for Scala
Scala macros: let our powers combine!: on how rich syntax and static types work with metaprogramming
A new concurrency model for Scala based on a declarative dataflow core
Open GADTs and declaration-site variance: a problem statement
Towards a tight integration of a functional web client language into Scala
Parsing graphs: applying parser combinators to graph traversals
Scalad: an interactive type-level debugger
An experimental study of the influence of dynamic compiler optimizations on Scala performance
Bridging islands of specialized code using macros and reified types
What are the Odds?: probabilistic programming in Scala
Dataflow constructs for a language extension based on the algebra of communicating processes

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An experimental study of the influence of dynamic compiler optimizations on Scala performance

Content Provider ACM Digital Library
Author Duboscq, Gilles Stadler, Lukas Würthinger, Thomas Simon, Doug Mössenböck, Hanspeter
Abstract Java Virtual Machines are optimized for performing well on traditional Java benchmarks, which consist almost exclusively of code generated by the Java source compiler (javac). Code generated by compilers for other languages has not received nearly as much attention, which results in performance problems for those languages. One important specimen of "another language" is Scala, whose syntax and features encourage a programming style that differs significantly from traditional Java code. It suffers from the same problem -- its code patterns are not optimized as well as the ones originating from Java code. JVM developers need to be aware of the differences between Java and Scala code, so that both types of code can be executed with optimal performance. This paper presents a detailed investigation of the performance impact of a large number of optimizations on the Scala DaCapo and the Java DaCapo benchmark suites. It describes the optimization techniques and analyzes the differences between traditional Java applications and Scala applications. The results help compiler engineers in understanding the characteristics of Scala. We performed these experiments on the work-in-progress Graal compiler. Graal is a new dynamic compiler for the HotSpot VM which aims to work well for a diverse set of workloads, including languages other than Java.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781450320641
DOI 10.1145/2489837.2489846
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-07-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Compiler Scala Virtual machine Optimization Dynamic compiler
Content Type Text
Resource Type Article
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