by Manuel Carro,
Universidad Politecnica de Madrid,
Spain
http://damp2011.cs.uchicago.edu
Declarative Aspects of Multicore Programming
Austin, Texas
(colocated with POPL 2011)
January 23, 2011
SUBMISSION DEADLINE: OCTOBER 11, 2010
The advent of multicore architectures has profoundly increased the importance of research in parallel computing. Modern platforms are becoming more complex and heterogenous and novel solutions are needed to account for their peculiarities.
Multicore architectures will differ in significant ways from their multisocket predecessors. For example, the communication to compute bandwidth ratio is likely to be higher, which will positively impact performance. More generally, multicore architectures introduce several new dimensions of variability in both performance guarantees and architectural contracts, such as the memory model, that may not stabilize for several generations of product.
Programs written in functional or (constraint-)logic programming languages, or in other highly declarative languages with a controlled use of side effects, can greatly simplify parallel programming. Such declarative programming allows for a deterministic semantics even when the underlying implementation might be highly non-deterministic. In addition to simplifying programming this can simplify debugging and analyzing correctness.rations of product.
DAMP 2011 is the sixth in a series of one-day workshops seeking to explore ideas in declarative programming language design that will greatly simplify programming for multicore architectures, and more generally for tightly coupled parallel architectures. The emphasis will be on (constraint-)logic and functional programming, but any declarative programming language ideas that aim to raise the level of abstraction are welcome. DAMP seeks to gather together researchers in declarative approaches to parallel programming and to foster cross fertilization across different approaches.
Specific topics include, but are not limited to:
- investigation of applications of logic, constraint logic, and functional programing to multicore programing
- run-time issues of exploitation of parallelism using declarative programming approaches (e.g., garbage collection, scheduling)
- architectural impact on exploitation of parallelism from declarative languages
- type systems and analysis for accurately detecting dependencies, aliasing, side effects, and impure features
- language level declarative constructs for expressing parallelism
- declarative language specification for the description of data placement and distribution
- compilation and static analysis techniques to support exploitation of parallelism from declarative languages (e.g., granularity control)
- practical experiences and challenges arising from parallel declarative programming
- technology for debugging parallel programs
- design and implementation of domain-specific declarative languages for multicore programming
Submission:
Submitted papers papers should be written in English and should not exceed 10 pages in ACM SIGPLAN conference format. Submission is electronic via:
http://www.easychair.org/conferences/?conf=damp11
Accepted papers will be published in the ACM Digital Library and in a physical proceedings. Papers must adhere to the SIGPLAN Republication Policy:
http://www.sigplan.org/republicationpolicy.htm
Concurrent submissions to other conferences, workshops, journals, or similar forums of publication are not allowed. However, DAMP is intended to be a venue for discussion and exploration of works-in-progress, and so publication of a paper at DAMP 2011 is not intended to preclude later publication as appropriate.
Additional information about the submission process can be found at the conference web site.
Important dates:
Paper submission: Oct. 11
Notification to authors: Nov. 8
Camera ready: Nov. 22
Program Chair:
John Reppy, University of Chicago
General Chair:
Manuel Carro, Universidad Politécnica de Madrid
Program Committee:
Fred Barnes University of Kent (UK)
Gopal Gupta University of Texas, Dallas (USA)
Kerri Hammil Microsoft (USA)
Kevin Hammond University of St Andrews (UK)
Stephan Herhut University of Hertfordshire (UK)
Manuel Hermenegildo IMDEA Software Institute and UPM (Spain)
Gabriele Keller University of New South Wales (Australia)
John Reppy University of Chicago (USA)