PLDI is a forum where researchers, developers, educators, and practitioners exchange information on the latest practical and experimental work in the design and implementation of programming languages. PLDI seeks original research papers that focus on the design, implementation, development, and use of programming languages. PLDI emphasizes innovative and creative approaches to compile-time and runtime technology; novel language designs and features; and results from implementations.

PLDI'09 will be held on the historic campus of Trinity College Dublin in the heart of Dublin, Ireland (Tentative).

Scope of the Technical Program. The PLDI conference seeks original research papers that focus on issues in the design, development, implementation, evaluation, and use of programming languages. A strong PLDI submission will present a creative solution to a real problem, or evaluate existing solutions in a way that sheds new insights, or both.

Topics of Interest. Papers are solicited on, but not limited to, the following topics as they relate to the design, development, implementation, evaluation, and use of programming languages:
- Extracting parallelism from programs - Exploiting explicit parallelism in programs
- Memory management - Language constructs for parallelism
- Program analyses - Performance analysis, evaluation, and tools
- Performance optimizations - Pointer analyses
- Domain-specific languages and tools - Novel programming models
- Type systems and program logics - Debugging techniques and tools
- Language designs and extensions - Analyses and tools for transforming and understanding programs
- Checking or improving the safety, security, or correctness of programs
- Interaction of compilers and run-time systems with underlying systems

Submission. Submissions may not exceed 10 pages formatted according to the ACM proceedings format. These 10 pages include everything (i.e., it is the total length of the paper). The program chair will reject papers that exceed the length requirement or are submitted late. Templates for ACM format are available for Word Perfect, Microsoft Word, and LaTex at http://www.acm.org/sigs/sigplan/authorInformation.htm. Submissions should be in PDF and printable on US Letter and A4 sized paper.

Paper submission is double-blind to reduce reviewer bias against or for authors or institutions. Thus, the submissions cannot include author names or institutions. Authors should use common sense and careful writing to preserve anonymity without detracting from the submission. If you believe that any information left out for anonymity may hinder reviewing, such as a citation to the author's thesis, please provide that information to the PC chair separately.

Papers must describe unpublished work that is not currently submitted for publication elsewhere (including journals and proceedings of refereed conferences and workshops). See the SIGPLAN republication policy for more details (http://www.acm.org/sigs/sigplan/republicationpolicy.htm).

Evaluation. The program committee will evaluate the technical contribution of each submission as well as its general accessibility to the PLDI audience. Papers will be judged on significance, originality, relevance, correctness, and clarity. The paper must be organized so that it is easily understood by an audience with varied expertise. The paper should clearly identify what has been accomplished, why it is significant, and how it relates to previous work.

Important Dates.

* Abstract deadline: Friday, Nov 7th, Midnight EST
* Paper deadline: Friday, Nov 14th, Midnight EST
* Rebuttal period: Monday, Jan 12th to Wednesday, Jan 14th
* Notification: Tuesday, January 27th

General Chair
Michael Hind
IBM Research

Local Arrangements Chair
David Gregg
Trinity College Dublin

Tutorials Chair
Kim Hazelwood
University of Virginia

Program Chair
Amer Diwan
University of Colorado at Boulder

Workshops Chair
Ranjit Jhala
University of California, San Diego

Student Research Competition Chair
Marco Pistoia
IBM Research

FIT (Fun Ideas and Thoughts) Session Chair
Rodric Rabbah
IBM Research