[The topic of the workshop, cross-model programming, certainly includes Haskell-based research on domain-specific embedded languages, database programming, Web programming, data parallelism, Cloud Haskell, etc.  --James]                       CALL FOR PAPERS                          XLDI 2012:               First international workshop on        Cross-model Language Design and Implementation        Affiliated with ICFP 2012, Copenhagen, Denmark                   Sponsored by ACM SIGPLAN                      September 9, 2012           http://workshops.inf.ed.ac.uk/xldi2012/ There has recently been a burst of systems research advocating high-performance commodity "big data" or "massively parallel" computing models, often using simpler high-level languages or interfaces as front-ends. This work is often described as part of a shift towards a new "cloud computing" paradigm, but these buzzwords mask the major problems these techniques face: both big data and massively parallel systems currently employ systems-based methods and testing regimes that cannot offer guarantees of safety, security, correctness and evolvability. Language-based techniques, particularly formalization, verification, abstraction, and representation independence, offer the promise to reconcile the performance benefits of new execution models with the advantages of modern programming languages. Cross-model programming is not a new problem: for example, smooth integration of relational database programming models into general-purpose programming languages has been a long-standing challenge, with some approaches now in mainstream use (such as Microsoft's LINQ). But in the last few years there has been a dramatic increase in the number of domain-specific languages or libraries for interfacing with different computing models (data-parallelism, sensor networks, MapReduce-style fault-tolerant parallelism, distributed programming, Bayesian inference engines, declarative networking, or multi-tier Web programming), as well as techniques for language-integrated querying or processing data over other data models. Cross-model programs that execute in multiple (possibly heterogeneous) environments have much more challenging security, debugging, validation, and optimization problems. - Language designs for simplifying cross-model programming with   database queries, data parallelism, networking, distributed   programming, Web programming, or security primitives. - Formalizations or comparisons of existing languages, libraries or   extensions for integrating multiple execution models - Monads, comprehensions, arrows, applicative functors, formlets, and   other abstractions for combining or embedding models - Compilation and implementation techniques for cross-model programs - Type systems (polymorphism, dependent types, GADTs, modal types,   refinement types) to support safe cross-model programming - Domain-specific embedded languages or libraries, syntax extensions,   meta-programming facilities, or staged computation. - Language support for programming with XML, RDF, JSON, or other data   interchange formats, or for programming Web services or other   distributed programming formalisms. - Techniques for securing, debugging, performance profiling,   optimization, or provenance tracking in cross-model programs. SUBMISSIONS: Submission should consist of short papers of at most 3 pages in ACM SIGPLAN conference format (sigplanconf.cls). Submissions will be accepted electronically. The submission site will be advertised around one month before the submission deadline. Simultaneous submission to another workshop, conference or journal is not allowed. An author of each accepted paper is expected to present the paper at the workshop. There will be no formal proceedings, but submissions will be made available from the workshop web page. Authors will retain the copyright. IMPORTANT DATES: Submission: May 15 Notification: July 1 Final papers due: August 1 Workshop: September 9 ICFP 2012: September 10-12 ORGANIZATION: Program committee: James Cheney, University of Edinburgh (co-chair) Kathleen Fisher, Tufts University Matthew Fluet, Rochester Institute of Technology Nate Foster, Cornell University Torsten Grust, University of Tuebingen (co-chair) Anastasios Kementsietsidis, IBM Research Shriram Krishnamurthi, Brown University Peter Thiemann, University of Freiburg Atsushi Ohori, Tohoku University Jan van den Bussche, University of Hasselt