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The 16th International Conference on Managed Programming Languages & Runtimes (MPLR, formerly ManLang) is a premier forum for presenting and discussing novel results in all aspects of managed programming languages and runtime systems, which serve as building blocks for some of the most important computing systems around, ranging from small-scale (embedded and real-time systems) to large-scale (cloud-computing and big-data platforms) and anything in between (mobile, IoT, and wearable applications).
This year, MPLR is co-located with SPLASH 2019 and sponsored by ACM.
For more information, check out the conference website:
https://conf.researchr.org/home/mplr-2019
# Topics
Topics of interest include but are not limited to:
* Languages and Compilers
- Managed languages (e.g., Java, Scala, JavaScript, Python, Ruby, C#, F#, Clojure, Groovy, Kotlin, R, Smalltalk, Racket, Rust, Go, etc.)
- Domain-specific languages
- Language design
- Compilers and interpreters
- Type systems and program logics
- Language interoperability
- Parallelism, distribution, and concurrency
* Virtual Machines
- Managed runtime systems (e.g., JVM, Dalvik VM, Android Runtime (ART), LLVM, .NET CLR, RPython, etc.)
- VM design and optimization
- VMs for mobile and embedded devices
- VMs for real-time applications
- Memory management
- Hardware/software co-design
* Techniques, Tools, and Applications
- Static and dynamic program analysis
- Testing and debugging
- Refactoring
- Program understanding
- Program synthesis
- Security and privacy
- Performance analysis and monitoring
- Compiler and program verification
# Submission Categories
MPLR accepts four types of submissions:
1. Regular research papers, which describe novel contributions involving managed language platforms (up to 12 pages excluding bibliography and appendix). Research papers will be evaluated based on their relevance, novelty, technical rigor, and contribution to the state-of-the-art.
2. Work-in-progress research papers, which describe promising new ideas but yet have less maturity than full papers (up to 6 pages excluding bibliography and appendix). When evaluating work-in-progress papers, more emphasis will be placed on novelty and the potential of the new ideas than on technical rigor and experimental results.
3. Industry and tool papers, which present technical challenges and solutions for managed language platforms in the context of deployed applications and systems (up to 6 pages excluding bibliography and appendix). Industry and tool papers will be evaluated on their relevance, usefulness, and results. Suitability for demonstration and availability will also be considered for tool papers.
4. Posters, which can be accompanied by a one-page abstract and will be evaluated on similar criteria as Work-in-progress papers. Posters can accompany any submission as a way to provide additional demonstration and discussion opportunities.
MPLR 2019 submissions must conform to the ACM Policy on Prior Publication and Simultaneous Submissions and to the SIGPLAN Republication Policy.
# Important Dates and Organization
Submission Deadline: ***Jul 8, 2019***
Author Notification: Aug 24, 2019
Camera Ready: Sep 12, 2019
Conference Dates: Oct 20-25, 2019
General Chair: Tony Hosking, Australian National University / Data61, Australia
Program Chair: Irene Finocchi, Sapienza University of Rome, Italy
Program Committee:
* Edd Barrett, King's College London, United Kingdom
* Steve Blackburn, Australian National University, Australia
* Lubomír Bulej, Charles University, Czech Republic
* Shigeru Chiba, University of Tokyo, Japan
* Daniele Cono D'Elia, Sapienza University of Rome, Italy
* Ana Lúcia de Moura, Pontifical Catholic University of Rio de Janeiro, Brazil
* Erik Ernst, Google, Denmark
* Matthew Hertz, University at Buffalo, United States
* Vivek Kumar, Indraprastha Institute of Information Technology, Delhi
* Doug Lea, State University of New York (SUNY) Oswego, United States
* Magnus Madsen, Aarhus University, Denmark
* Hidehiko Masuhara, Tokyo Institute of Technology, Japan
* Ana Milanova, Rensselaer Polytechnic Institute, United States
* Matthew Parkinson, Microsoft Research, United Kingdom
* Gregor Richards, University of Waterloo, Canada
* Manuel Rigger, ETH Zurich, Switzerland
* Andrea Rosà, University of Lugano, Switzerland
* Guido Salvaneschi, TU Darmstadt, Germany
* Lukas Stadler, Oracle Labs, Austria
* Ben L. Titzer, Google, Germany
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