Projects per year
Abstract
Register allocation is a mandatory task for almost every compiler
and consumes a significant portion of compile time. In a just-in-time
compiler, compile time is a particular issue because compilation
happens during program execution and contributes to the overall
application run time. Parallelization can help here. We developed a
theoretical model for parallel register allocation and show that it
can be used in practice without a negative impact on the quality of
the allocation result. Doing so reduces compilation latency, i.e., the
duration until the result of a compilation is available.
Our analysis shows that parallelization can theoretically decrease
allocation latency by almost 50%. We implemented an initial prototype which reduces the register allocation latency by
28% when using four threads, compared to the single-threaded allocation.
Original language | English |
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Title of host publication | Proceeding ManLang´18 Proceedings of the 15th International Conference on Managed Languages & Runtimes Article No. 7 |
Publisher | ACM New York, NY, USA |
Number of pages | 7 |
ISBN (Print) | 978-1-4503-6424-9 |
DOIs | |
Publication status | Published - Sept 2018 |
Fields of science
- 102 Computer Sciences
- 102009 Computer simulation
- 102011 Formal languages
- 102013 Human-computer interaction
- 102022 Software development
- 102024 Usability research
- 102029 Practical computer science
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)
Projects
- 1 Active
-
Java VM Compiler Performance (Oracle)
Mössenböck, H. (PI)
01.01.2001 → 31.05.2025
Project: Contract research › Industry project