Held in conjunction with HiPEAC 2022 (Jan 16-18), 2022.

The event will be hybrid, i.e both physical and virtual attendance is possible.


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 numerical 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.

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.


SUBMISSION:

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
manuscript:

https://www.acm.org/publications/proceedings-template

Make sure to use the "sigplan" subformat. Visit

http://sigplan.org/Resources/Author/

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.

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 in a same vicinity at the poster session.

Please make sure that at least one of the authors can attend the
workshop if your work is accepted.

COMMITTEES:

Organizers and Program Chairs:
Benoit Meister (Reservoir Labs, USA)
Riyadh Baghdadi (New York University, UAE)
Contact: impact-chairs@reservoir.com


Program Committee:

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