12th International Workshop on Polyhedral Compilation Techniques
January 17, 2022 | Budapest, Hungary
In conjunction with HiPEAC 2022, January 17-19, 2022
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.
|Abstract deadline:||October 24, 2021 (AoE)|
|Paper deadline:||October 31, 2021 (AoE)|
|Author notification:||November 30, 2021|
|Final version due:||December 12, 2021|
|Workshop:||January 17, 2022|
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=impact22.
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 2022 or any other overlapping SIGPLAN event.
|Benoit Meister||Reservoir Labs, USA|
|Riyadh Baghdadi||New York University, UAE|
|Christophe Alias||INRIA & Ecole Normale Superieure de Lyon, France|
|Cédric Bastoul||Huawei, France|
|Protonu Basu||Facebook, USA|
|Somashekaracharya Bhaskaracharya||NVIDIA, USA|
|Jeronimo Castrillon||TU Dresden, Germany|
|Philippe Clauss||INRIA & U. of Strasbourg, France|
|Albert Cohen||Google, France|
|Paul Feautrier||Ecole Normale Superieure de Lyon, France|
|Tobias Grosser||U. of Edinburgh, UK|
|Armin Größlinger||U. of Passau, Germany|
|Mary Hall||U. of Utah, USA|
|Francois Irigoin||Mines ParisTech, France|
|Paul H J Kelly||Imperial College, London, UK|
|Martin Kong||U. of Oklahoma, USA|
|Sriram Krishnamoorthy||Google, USA|
|Michael Kruse||Argonne National Laboratory, USA|
|Louis-Noel Pouchet||Colorado State University, USA|
|Benoit Pradelle||Xilinx, Germany|
|Sanjay Rajopadhye||Colorado State University, USA|
|Ponnuswamy Sadayappan||U. of Utah, USA|
|Adilla Susungi||Huawei, France|
|Sanket Tavarageri||Microsoft, India|
|Ramakrishna Upadrasta||IIT-Hyderabad, India|
|Sven Verdoolaege||Cerebras Systems, Belgium|
|Jie Zhao||Ecole Normale Superieure, France|
|Oleksandr Zinenko||Google, France|