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.

Program

• Keynote by Cédric Bastoul (Huawei's Paris Research Center).
• More details on the remaining of the program later.

Important Dates

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

Short Papers
Short papers are a good venue for projects that are still work-in-progress, tool demonstrations, etc. Submissions should not exceed 2 pages, excluding references.

Full Papers
Submissions should not exceed 10 pages (recommended 8 pages), excluding references.

Proceedings
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.

Format
Both full and short papers should be formatted as per ACM SIGPLAN proceedings format. Please use version 1.54 or above of the following templates to prepare your manuscript: ACM 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
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. The same will be used for both short and long papers. Currently only the track of short papers is open.

Organizers

	Benoit Meister	Reservoir Labs, USA
	Riyadh Baghdadi	New York University, UAE

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	State Key Laboratory of Mathematical
		Engineering and Advanced Computing, China
	Oleksandr Zinenko	Google, France

Contact us

Please send any questions to Benoit Meister and Riyadh Baghdadi to impact-chairs@reservoir.com.