If designed and implemented well, domain-specific languages (DSLs) combine the best features of general-purpose programming languages (e.g., performance) with high productivity (e.g., ease of programming).
*** Workshop Goal ***
The goal of the DSLDI workshop is to bring together researchers and practitioners interested in sharing ideas on how DSLs should be designed, implemented, supported by tools, and applied in realistic application contexts. We are both interested in discovering how already known domains such as graph processing or machine learning can be best supported by DSLs, but also in exploring new domains that could be targeted by DSLs. More generally, we are interested in building a community that can drive forward the development of modern DSLs.
*** Workshop Format ***
DSLDI is a single-day workshop and will consist of a series of short talks whose main goal is to trigger exchange of opinion and discussions. The talks should be on the topics within DSLDI's area of interest, which include but are not limited to the following ones:
* DSL implementation techniques, including compiler-level and runtime-level solutions
* utilization of domain knowledge for driving optimizations of DSL implementations
* utilizing DSLs for managing parallelism and hardware heterogeneity
* DSL performance and scalability studies
* DSL tools, such as DSL editors and editor plugins, debuggers, refactoring tools, etc.
* applications of DSLs to existing as well as emerging domains, for
example graph processing, image processing, machine learning, analytics, robotics, etc.
* practitioners reports, for example descriptions of DSL deployment i a real-life production setting
*** Call for Submissions ***
We solicit talk proposals in the form of short abstracts (max. 2 pages). A good talk proposal describes an interesting position, demonstration, or early achievement. The submissions will be reviewed on relevance and clarity, and used to plan the mostly interactive sessions of the workshop day. Publication of accepted abstracts and slides on the website is voluntary.
Follow us on Twitter at https://twitter.com/wsdsldi
* Emilie Balland
* Martin Bravenboer (LogicBlox)
* Hassan Chafi (Oracle Labs)
* William Cook (UT Austin)
* Shriram Krishnamurthi (Brown University)
* Heather Miller (EPFL)
* Bruno Oliveira (University of Hong Kong)
* Cyrus Omar (CMU)
* Richard Paige (University of York)
* Tony Sloane (Macquarie University)
* Emma Söderberg (Google)
* Emma Tosch (University of Massachusetts, Amherst)
* Jurgen Vinju (CWI)
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