Abstract deadline: 0ctober 21, 2016
IMPACT ist probably the venue to meet, discuss, and learn about polyhedral compilation. It traditionally attracts a large number of experts in polyhedral compilation, but at the same time remains welcoming and interesting for newcomers who want to learn about polyhedral compilation.
If you are interested to learn more, participate, or even submit your work, here is the full call for papers:
This is a CALL FOR PAPERS for
7th International Workshop on Polyhedral Compilation Techniques
held in conjunction with HiPEAC 2017 (Jan 23-25, 2017) in Stockholm, Sweden.
Abstract submission: October 21, 2016 (AoE)
Paper submission: October 28, 2016 (AoE)
Author notification: December 02, 2016
Final version due: December 16, 2016
Workshop date: TBD
Polyhedral techniques have gained attention due to the rise of multi-core processors and other architectures that require parallelism and more complex schedules for data locality. At the heart of the polyhedral model is an abstraction of programs that enables powerful analysis and scheduling of applications. Recent developments in the polyhedral model research area includes automatic parallelization targeting various platforms, program verification, and hardware synthesis. IMPACT is a unique workshop aimed to bring together researchers and practitioners interested in polyhedral techniques to exchange ideas. This year’s IMPACT will be held in conjunction with HiPEAC as a one-day workshop including technical paper presentations, panel discussions, and possibly a keynote.
We welcome both theoretical and experimental papers on all aspects of polyhedral compilation and optimization. We also welcome submissions describing preliminary results, crazy new ideas, position papers, experience reports, and available tools, with an aim to stimulate discussions, collaborations, and advances in the field. The following illustrate potential IMPACT papers:
Discussion of a preliminary idea with an attempt to place it in context but no experimental results.
Experimental results comparing two or more existing ideas.
Presentation of an existing idea in a different way including illustrations of how the idea applies in current codes. Attribution should be done as well as possible.
Topics of interest include, but are not limited to:
- program optimization (automatic parallelization, tiling, etc.)
- code generation
- data/communication management on GPUs, accelerators and distributed systems
- hardware/high-level synthesis
- static analysis
- program verification
- model checking
- theoretical foundations of the polyhedral model
- extensions of the polyhedral model
- scalability and robustness of polyhedral compilation techniques
- application case studies
- tool demonstration
Submissions should not exceed 8 pages (recommended 6 pages), excluding references, formatted as per ACM proceedings format. Please use the following template when preparing your manuscript:
Submissions should be in PDF format and printable on US Letter or A4 sized paper. Please submit through EasyChair at:
Proceedings will be posted online. If the final version of an accepted paper does not sufficiently address the comments of the reviewers, then it may be accompanied by a note from the program committee. Publication at IMPACT will not prevent later publication in conferences or journals of the presented work. However, simultaneous submission to IMPACT and other workshop, conference, or journal is often prohibited by the policy of other venues. For instance, a paper with significant overlap with IMPACT submission cannot be sent to PLDI 2017 or any other overlapping SIGPLAN event.
We will also continue the poster teasers we started last year. Authors of the rejected papers that still plan to attend HiPEAC will have an opportunity to present their submission in the HiPEAC poster session. We encourage poster presentations by providing a short (3 min.) slot in the workshop to advertise the posters. If possible, posters related to IMPACT will be gathered at the poster session close to each other.
Organizers and Program Chairs:
Mary Hall, University of Utah, USA
Tobias Grosser, ETH Zurich, Switzerland
Uday Bondhugula (IISc Bangalore, India)
Cedric Bastoul (University of Strasbourg, France)
Samuel Bayliss (Xilinx, USA)
Albert Cohen (INRIA, France)
Philippe Clauss (University of Strasbourg, France)
Alain Darte (CNRS, France)
Paul Feautrier (ENS Lyon / INRIA, France)
Armin Groesslinger (University of Passau, Germany)
Alexandra Jimborean (Uppsala University, Sweden)
Paul Kelly (Imperial College London, UK)
Andreas Kloeckner (University of Illinois at Urbana-Champaign, USA)
Martin Kong (Rice University, USA)
Sanyam Mehta (Cray Inc., USA)
J. Ramanujam (Louisiana State University, USA)
P. Sadayappan (Ohio State University, USA)
Jun Shirako (Rice University, USA)
Michelle Strout (University of Arizona, USA)
Ramakrishna Upadrasta (IIT Hyderabad, USA)
Sven Verdoolaege (Polly Labs, Belgium)
David Wonnacott (Haverford College, USA)
Tomofumi Yuki (INRIA, France)
Hongbin Zheng (Xilinx Inc., USA)