10th International Workshop on Polyhedral Compilation Techniques
January 22, 2020 | Bologna, Italy
In conjunction with HiPEAC 2020, January 20-22, 2020
With multicore processors and deep memory hierarchies remaining the main source of performance, and emerging areas such as energy-aware computation requiring research breakthroughs, polyhedral compilation techniques receive more attention than ever from both researchers and practitioners. Thanks to a unified formalism for parallelization and memory optimization, these techniques are now powering domain-specific language compilers yielding best performance in highly competitive areas such as machine learning and numeric simulation. IMPACT is a unique event focusing exclusively on polyhedral compilation that brings together researchers and practitioners for a high-quality one-day event including a keynote, selected paper presentations, and posters for work-in-progress discussions.
Accepted Papers and Talks
Coming in December 2019...
|Notification of decision:||December 2, 2019|
|Final version due:||December 15, 2019|
|Workshop:||January 22, 2020|
Call For Paper Information
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:
- Thorough theoretical 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, followed by a detailed analysis.
- Presentation of an existing idea in a different way, including illustrations of how the idea applies to new use cases, code, architectures, etc. Attribution should as clear 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 for affine programs;
- static analysis;
- program verification;
- model checking;
- theoretical foundations of the polyhedral model;
- extensions of the polyhedral model;
- scalability and robustness of polyhedral compilation techniques.
Submissions should not exceed 10 pages (recommended 8 pages), excluding
references, formatted as per ACM SIGPLAN proceedings format. Please use
version 1.54 or above of the following templates to prepare your
Proceedings Template. Make sure to use the sigplan
subformat. Visit the SIGPLAN
Author Resources page for further information on SIGPLAN manuscript formatting.
NOTE: older versions of the article template use smaller fonts for submission, please double-check that you are using the recent style file (in particular, various LaTeX distributions ship older versions of the acmart style file, please download the most recent one from ACM).
Submissions should use PDF format and be printable on US Letter or A4 paper. Please submit your manuscripts through EasyChair: https://easychair.org/conferences/?conf=impact2020.
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 manuscript overlapping significantly with IMPACT submission cannot be submitted to PLDI 2020 or any other overlapping SIGPLAN event.
|Philippe Clauss||(University of Strasbourg, France)|
|Guillaume Iooss||(Inria / ENS Paris, France)|
|Paul Feautrier||(ENS Paris, France)|
|Cédric Bastoul||(University of Strasbourg, France)|
|Albert Cohen||(Google, France)|
|Sanjay Rajopadhye||(Colorado State University, USA)|
|Ponnuswamy Sadayappan||(University of Utah, USA)|
|François Irigoin||(Mines ParisTech, France)|
|Paul Kelly||(Imperial College, London)|
|Louis-Noël Pouchet||(Colorado State University, USA)|
|Sven Verdoolaege||(Cerebras Systems, Belgium)|
|Benoit Meister||(Reservoir Labs, USA)|
|Vincent Loechner||(University of Strasbourg, France)|
|Tomofumi Yuki||(University of Rennes/IRISA, France)|
|David Wonnacott||(University of Haverford, USA)|
|Tobias Grosser||(ETH Zurich, Switzerland)|
|Oleksandr Zinenko||(Google, France)|
|Aravind Sukumaran Rajam||(Washington State University, USA)|
|Benoit Pradelle||(Silexica, Germany)|
|Sriram Krishnamoorthy||(Pacific Northwest National Lab, USA)|