Declarative Aspects of Multicore Programming
Madrid, SPAIN
(colocated with POPL 2010)
January, 2010
damp10.cs.nmsu.edu
SUBMISSION DEADLINE: SEPTEMBER 21, 2009
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.
DAMP 2010 is the fifth 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 not exceed 10 pages in ACM
SIGPLAN conference format. Submission is electronic via:
http://www.easychair.org/conferences/?conf=damp10
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 2010 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:
Abstract submission: Sept. 21
Paper submission: Sept. 25
Notification to authors: Oct. 26
Camera ready: Nov. 9
Program Chair:
Enrico Pontelli
New Mexico State University
General Chairs:
Leaf Petersen
Intel Corporation
Santa Clara, CA, USA
Program Committee:
Manuel Carro Universidad Politecnica de Madrid
Clemens Grelck University of Hertfordshire
Haifeng Guo University of Nebraska at Omaha
Gabriele Keller University of New South Wales
Hans-Wolfgang Loidl Ludwig-Maximilians-Universitat Munchen
Leaf Petersen Intel Corporation
John Reppy University of Chicago
Ricardo Rocha University of Porto
Kostis Sagonas National Technical University of Athens
Vitor Santos Costa University of Porto
Satnam Singh Microsoft Research
Philip Trinder Heriot-Watt University
Pascal Van Hentenryck Brown University
URL:
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