Declarative Aspects of Multicore Programming (DAMP 2011)

by Manuel Carro,
Universidad Politecnica de Madrid,

Declarative Aspects of Multicore Programming
Austin, Texas
(colocated with POPL 2011)

January 23, 2011


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

Submitted  papers  papers  should be written in English and should  not  exceed  10  pages  in ACM SIGPLAN conference format. Submission is electronic via:

Accepted papers will be published in the ACM Digital Library and in a physical  proceedings.  Papers must  adhere to  the  SIGPLAN Republication Policy:

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)