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Call for Papers: ICPP 2023  
===============================================================
52nd International Conference on Parallel Processing
August 7-10, 2023
Salt Lake City, UTAH, USA

https://icpp23.sci.utah.edu <https://icpp23.sci.utah.edu/>
=============================================================== 
ICPP, the International Conference on Parallel Processing, provides a forum for engineers and scientists in academia, industry, and government to present their latest research findings in all aspects of parallel and distributed computing. ICPP is one of the oldest computer science conferences; ICPP 2023 is the 52nd edition of ICPP.

ICPP2023 will be held in Salt Lake City, UTAH, USA, from August 7th to 10th, 2023. ICPP 2023 is a premier venue for presenting the latest research on all aspects of parallel processing. Topics of interest in ICPP 2023 papers include, but are not limited to:

● Algorithms: Parallel and Distributed Algorithms, Parallel and Distributed Combinatorial & Numerical Methods, Scheduling Algorithms for Parallel and Distributed Applications and Platforms, Algorithmic Innovations for Parallel and Distributed Machine Learning.
● Applications: Parallel and Distributed Applications, Scalable Data Analytics & Applied Machine Learning, Computational and Data-Driven Science & Engineering (e.g., Astrophysics, Computational Chemistry, Bioinformatics, Climate Science, Finance, Geology).
● Architecture: Micro-Architecture for Parallel Computing, Parallel Computer Architecture and Accelerator Designs, LArge-Scale System Architectures, Datacenter/Warehouse Computing Architecture, Machine Learning Architectures, Architectural Support for Networking, New Memory Technologies, Near-Memory Computing, Parallel I/O, Architectures for Edge Computing, Architectural Support for Reliability and Security.
● Multidisciplinary: Innovation combining multiple disciplines, Cross-Cutting Research (e.g., Complex Workflows Combining Data Analytics and/or AI/ML with Traditional Simulations), Use of Known Algorithms in Novel/Emerging Applications, Methodologies for Performance Portability and/or Productivity across Architectures.
● Performance: Performance Modeling of Parallel or Distributed Computing, Performance Evaluation of Parallel or Distributed Systems; Scalability, Simulation Models, Analytical Models, Measurement-Based Evaluation.
● Software: Systems Software, Middleware, Runtime Systems, Parallel and Distributed Programming Languages & Models, Programming Systems, Compilers, Libraries, Programming Infrastructures and Tools, Operating and Real-Time Systems.


Submission Guidelines
----------------------------------
Paper submissions should not exceed 10 pages (including references) and all submissions must be made electronically through the conference submission portal (https://ssl.linklings.net/conferences/icpp <https://ssl.linklings.net/conferences/icpp>) in PDF format printable on US letter size (8.5" x 11") paper. Please use the ACM format located at: https://www.acm.org/publications/proceedings-template <https://www.acm.org/publications/proceedings-template>. More specifically, we recommend using \documentclass[sigconf,review,anonymous]{acmart} configuration for submissions prepared in LaTex. Changes to the template (e.g., margin, font size) could lead to automatic rejection. Up to two additional pages may be subsequently purchased (if needed) for the camera-ready version. Submissions should represent original research results and cannot already be under review or accepted for publication in another venue.

The review process is double-anonymous, so submissions should not reveal the identity of the authors. Authors should leave out author names, affiliations, and (any) acknowledgment from the body of their submission. They should also ensure that any references to authors’ own related work should be in the third person (e.g., not “We build on our previous work …” but rather “We build on the work of …”). The purpose of this process is to help the Program Committee and external reviewers come to a judgment about the paper without bias, not to make it impossible for them to discover the authors if they were to try. Authors with further questions about double-anonymous reviewing are encouraged to contact the Program Chairs by email.

The ICPP 2023 technical program includes a reproducibility initiative, where the submitters will be given an option to submit details about the artifacts that enable their experiments to be reproduced. A reproducibility submission consists of the description of the computational artifacts (up to two pages appendix) and persistent and permanent links to the computational artifacts submission (more information regarding the ICPP reproducibility initiative here). The submission of the reproducibility artifacts will be voluntary, but their presence will be an advantage during the decision process compared to submissions with equivalent ratings without artifacts. We also plan to have rebuttals only for papers that do not have a clear accept or reject decision."

All accepted papers that are presented at the conference will be published in the ACM Digital Library. Accepted papers will also need to follow the conference registration policy to be included in the conference proceedings. We will offer rejected papers an opportunity to be forwarded to workshop organizers to be considered in one of the workshops if the authors choose to do so.


Important Deadlines (AOE )
----------------------------------------
● Abstract Submission: April 14, 2023
● Paper Submission: April 22, 2023
● Author Response Period: June 1 - June 4, 2023
● Author Notification: June 16, 2023
● Conference: August 7 - August 10, 2023


Submission Link
-------------------------
Please visit this https://ssl.linklings.net/conferences/icpp <https://ssl.linklings.net/conferences/icpp> to make paper submissions.


Contact
-------------
If you have any questions, please feel free to contact the ICPP 2023 Program Committee Co-Chairs: David Abramson [log in to unmask] <mailto:[log in to unmask]> and Bronis de Supinski [log in to unmask] <mailto:[log in to unmask]>.


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