Miniboxing

Author:

Ureche Vlad1,Talau Cristian1,Odersky Martin1

Affiliation:

1. EPFL, Lausanne, Switzerland

Abstract

Parametric polymorphism enables code reuse and type safety. Underneath the uniform interface exposed to programmers, however, its low level implementation has to cope with inherently non-uniform data: value types of different sizes and semantics (bytes, integers, floating point numbers) and reference types (pointers to heap objects). On the Java Virtual Machine, parametric polymorphism is currently translated to bytecode using two competing approaches: homogeneous and heterogeneous. Homogeneous translation requires boxing, and thus introduces indirect access delays. Heterogeneous translation duplicates and adapts code for each value type individually, producing more bytecode. Therefore bytecode speed and size are at odds with each other. This paper proposes a novel translation that significantly reduces the bytecode size without affecting the execution speed. The key insight is that larger value types (such as integers) can hold smaller ones (such as bytes) thus reducing the duplication necessary in heterogeneous translations. In our implementation, on the Scala compiler, we encode all primitive value types in long integers. The resulting bytecode approaches the performance of monomorphic code, matches the performance of the heterogeneous translation and obtains speedups of up to 22x over the homogeneous translation, all with modest increases in size.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

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1. TASTyTruffle: Just-in-Time Specialization of Parametric Polymorphism;Proceedings of the ACM on Programming Languages;2023-10-16

2. Interflow: interprocedural flow-sensitive type inference and method duplication;Proceedings of the 9th ACM SIGPLAN International Symposium on Scala;2018-09-17

3. A Refactoring Library for Scala Compiler Extensions;Lecture Notes in Computer Science;2015

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