# PAW-ATM 2022 Call For Papers **URL:** \ **Category:** Announcements\ **Created:** [May 3, 2022, 8:26pm UTC](https://chapel.discourse.group/t/paw-atm-2022-call-for-papers/12144 "2022-05-03T20:26:20Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![mppf](https://avatars.discourse-cdn.com/v4/letter/m/94ad74/32.png) [@mppf](https://chapel.discourse.group/u/mppf)\ **Post date:** [May 3, 2022, 8:26pm UTC](https://chapel.discourse.group/t/paw-atm-2022-call-for-papers/12144/1 "2022-05-03T20:26:20Z")
Hi Chapel Community - Please consider submitting a paper or talk to PAW-ATM 2022. PAW-ATM is a workshop at SC that focuses on applications work being done in alternatives to MPI+X programming like Chapel. There are many efforts related to programming with Chapel that would be reasonable to describe at PAW-ATM - from application development to performance studies and even improvements to compiler optimization. The workshop will be held at SC22 in Dallas, TX, Nov 13-18th. Submissions are due on July 29. This year, PAW-ATM will be a full-day workshop! Additionally, now you can separately submit pictures or videos showcasing results of a parallel application. For more information about PAW-ATM and the submission process, see the workshop website: [The 5th Annual Parallel Applications Workshop, Alternatives To MPI+X (PAW-ATM) by sourceryinstitute](https://sourceryinstitute.github.io/PAW/) or the more detailed Call for Papers included below. * * * * * * ``` Call for Papers PAW-ATM 2022: Parallel Applications Workshop, Alternatives To MPI+X ``` Held in conjunction with SC22, Dallas, TX [http://sourceryinstitute.github.io/PAW/](http://sourceryinstitute.github.io/PAW/) * * * Summary As supercomputers become more and more powerful, the number and diversity of applications that can be tackled with these machines grows. Unfortunately, the architectural complexity of these supercomputers grows as well, with heterogeneous processors, multiple levels of memory hierarchy, and many ways to move data and synchronize between processors. The MPI+X programming model, use of which is considered by many to be standard practice, demands that a programmer be expert in both the application domain and the low-level details of the architecture(s) on which that application will be deployed, and the availability of such superhuman programmers is a critical bottleneck. Things become more complicated when evolution and change in the underlying architecture translates into significant re-engineering of the MPI+X code to maintain performance. Numerous alternatives to the MPI+X model exist, and by raising the level of abstraction on the application domain and/or the target architecture, they offer the ability for “mere mortal” programmers to take advantage of the supercomputing resources that are available to advance science and tackle urgent real-world problems. However, compared to the MPI+X approach, these alternatives generally lack two things. First, they aren’t as well known as MPI+X and a domain scientist may simply not be aware of models that are a good fit to their domain. Second, they are less mature than MPI+X and likely have more functionality or performance “potholes” that need only to be identified to be addressed. PAW-ATM is a forum for discussing HPC applications written in alternatives to MPI+X. Its goal is to bring together application experts and proponents of high-level languages to present concrete example uses of such alternatives, describing their benefits and challenges. Scope and Aims The PAW-ATM workshop is designed to be a forum for discussion of supercomputing-scale parallel applications and their implementation in programming models outside of the dominant MPI+X paradigm. Papers and talks will explore the benefits (or perhaps drawbacks) of implementing specific applications with alternatives to MPI+X, whether those benefits are in performance, scalability, productivity, or some other metric important to that application domain. Presenters are encouraged to generalize the experience with their application to other domains in science and engineering and to bring up specific areas of improvement for the model(s) used in the implementation. In doing so, our hope is to create a setting in which application authors, language designers, and architects can present and discuss the state of the art in alternative scalable programming models while also wrestling with how to increase their effectiveness and adoption. Beyond well-established HPC scientific simulations, we also encourage submissions exploring artificial intelligence, big data analytics, machine learning, and other emerging application areas. Topics of interest include, but are not limited to: - Novel application development using high-level parallel programming languages and frameworks. - Examples that demonstrate performance, compiler optimization, error checking, and reduced software complexity. - Applications from artificial intelligence, data analytics, bioinformatics, and other novel areas. - Performance evaluation of applications developed using alternatives to MPI+X and comparisons to standard programming models. - Novel algorithms enabled by high-level parallel abstractions. - Experience with the use of new compilers and runtime environments. - Libraries using or supporting alternatives to MPI+X. - Benefits of hardware abstraction and data locality on algorithm implementation. Papers that include description of applications that demonstrate the use of alternative programming models will be given higher priority. Submissions Submissions are solicited in 3 categories: 1. Full-length papers presenting novel research results: - Full-length papers will be published in the workshop proceedings. Submitted papers must describe original work that has not appeared in, nor is under consideration for, another conference or journal. Papers shall be eight (8) pages minimum and not exceed ten (10) including text, appendices, and figures. 1. Extended abstracts summarizing preliminary/published results: - Extended abstracts will be evaluated separately and will not be included in the published proceedings; they are intended to propose timely communications of novel work that will be formally submitted elsewhere at a later stage, and/or of already published work that would be of interest to the PAW-ATM audience in terms of topic and timeliness. Extended abstracts shall not exceed four (4) pages. 1. Pictures or videos showcasing results from parallel applications: When deciding between manuscript submissions with similar merit, submissions whose focus relates more directly to the key themes of the workshop (application studies, computing at scale, high-level alternatives to MPI+X) will be given priority over those that don't. Submissions shall be submitted through Linklings: [https://submissions.supercomputing.org](https://submissions.supercomputing.org) Submissions must use 10pt font in the IEEE format: [IEEE - Manuscript Templates for Conference Proceedings](https://www.ieee.org/conferences/publishing/templates.html) PAW-ATM follows the reproducibility initiative of SC22. Submissions must include Artifact Description (AD) and Artifact Evaluation (AE) appendix. The appendix pages related to the reproducibility initiative dependencies, are not included in the page count. For more information, please refer to: [Reproducibility Initiative • SC22](https://sc22.supercomputing.org/submit/reproducibility-initiative/) [The 5th Annual Parallel Applications Workshop, Alternatives To MPI+X (PAW-ATM) by sourceryinstitute](http://sourceryinstitute.github.io/PAW/) WORKSHOP CHAIR - Karla Morris - Sandia National Laboratories ORGANIZING COMMITTEE - Irene Moulitsas - Cranfield University - Elliott Slaughter - SLAC National Accelerator Laboratory - Michael Ferguson - Hewlett Packard Enterprise PROGRAM COMMITTEE CO-CHAIRS - Bill Long - Hewlett Packard Enterprise - Daniele Lezzi - Barcelona Supercomputing Center PROGRAM COMMITTEE - David Bunde - Knox College - Barbara Chapman - Hewlett Packard Enterprise and Stony Brook University - Lúcia María de Assumpcao Drummond - Universidade Federal Fluminense - Sally Ellingson - University of Kentucky - Michael Ferguson - Hewlett Packard Enterprise - Salvatore Filippone - Università di Roma Tor Vergata - Dounia Khaldi - Intel - Eric Laurendeau - Polytechnique Montreal - Daniele Lezzi - Barcelona Supercomputing Center - Laércio Lima Pilla - National Center for Scientific Research and University of Bordeaux - Bill Long - Hewlett Packard Enterprise - Francesc Lordan - Barcelona Supercomputing Center - Esteban Meneses Rojas - National High Technology Center - Karla Morris - Sandia National Laboratories - Irene Moulitsas - Cranfield University - Swaroop S. Pophale - Oak Ridge National Laboratory - Mitsuhisa Sato - RIKEN Advanced Institute for Computational Science - Christine Sweeney - Los Alamos National Laboratory - Elliott Slaughter - SLAC National Accelerator Laboratory - Kenjiro Taura - University of Tokyo - Sean Treichler - NVIDIA - Richard W Vuduc - Georgia Institute of Technology ADVISORY COMMITTEE - Bradford L. Chamberlain - Hewlett Packard Enterprise - Damian W. I. Rouson - Sourcery Institute - Katherine A. Yelick - Lawrence Berkeley National Laboratory IMPORTANT DATES - Submissions deadline: July 29, 2022 - Manuscripts review period: August 8-25, 2022 (including Rebuttal) - Rebuttal submission: August 26, 2022 - Building consensus: August 29 - September 2, 2022 - Notification to authors: September 9, 2022 - Final program: September 30, 2022 - Camera-ready papers due from authors: October 1, 2022 - PAW-ATM Workshop at SC22: November 13-18, 2022