TruffleReloader: A Low-Overhead Language-Neutral Reloader
Updating running programs is a well-researched and increasingly popular feature of programming language implementations. While there are solutions targeting specific languages and platforms, implementing dynamic update for new languages can require significant effort. We have built TruffleReloader, a reusable dynamic updating solution, on top of the Truffle language implementation framework, and adapted the Truffle implementations of Python, Ruby and JavaScript to use this feature. We show how TruffleReloader adds reloading capabilities to these implementations requiring limited language-specific modifications. With Truffle’s just-in-time compiler enabled, our solution incurs close to zero overhead on steady-state performance. This approach reduces the effort required to add dynamic update support for existing and future languages.
Preprint (icooolps-final9.pdf) | 362KiB |
Mon 18 Jul Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
16:00 - 16:30 Talk | TruffleReloader: A Low-Overhead Language-Neutral Reloader ICOOOLPS Tõnis PoolZeroTurnaround / University of Tartu, Allan Raundahl GregersenZeroTurnaround, Vesal VojdaniUniversity of Tartu Media Attached File Attached | ||
16:30 - 17:00 Talk | Sulong - Execution of LLVM-Based Languages on the JVM ICOOOLPS Manuel RiggerJohannes Kepler University, Linz, Austria, Matthias GrimmerJohannes Kepler University Linz, Hanspeter MössenböckJohannes Kepler University Linz Media Attached File Attached | ||
17:00 - 17:30 Talk | Efficient Profiling of Actor-based Applications in Parallel and Distributed Systems ICOOOLPS Andrea RosàUniversità della Svizzera italiana, Lydia Y. ChenIBM Research Lab Zurich, Walter BinderUniversity of Lugano Media Attached File Attached |