General IPDPS Info

Sponsors


IN COOPERATION WITH

TCCA.png

TCDP.png

IPDPS 2023 Call for Papers

37th IEEE International Parallel &
Distributed Processing Symposium

PLEASE NOTE:
  • Authors must register their paper and submit an abstract by Thursday, September 29, 2022.
  • Authors must then submit full versions of registered papers by Thursday, October 6, 2022.
  •  All deadlines are end of day ANYWHERE ON EARTH.
  • Before submitting, review the information under WHAT/WHERE TO SUBMIT below.

Authors are invited to submit manuscripts that present novel and impactful research in all areas of parallel and distributed processing. Works focusing on emerging technologies, interdisciplinary work spanning multiple IPDPS focus areas, and novel open-source artifacts are especially welcome. Topics of interest include but are not limited to the following topic areas:

Parallel and Distributed Algorithms for Computational Science: This track focuses on parallel and distributed (to include cloud, edge, and fog computing) algorithms arising in the context of execution of computational science methods. Examples of computations forming these workloads include structured and unstructured grids, dense and sparse linear algebra computations, spectral methods, and n-body computations. Also included in this track are algorithmic and theory contributions that are workload agnostic but specific to tightly coupled systems, such as those supporting communication, synchronization, and power management.

Parallel and Distributed Algorithms for Data Science: This track focuses on parallel and distributed (to include cloud, edge, and fog computing) algorithms arising in the context of execution of data science methods, including machine learning, data mining, graph computations, clustering, visualization, and other forms of data analytic methods. Also included in this track are algorithmic and theory contributions that are workload agnostic but specific to loosely coupled systems, such as those for management of distributed resources, and those related to distributed data and transactions as well as mobility.

Experiments: This track focuses on experiments and practice in parallel and distributed computing. Topics can include: design and experimental evaluation of applications of parallel and distributed computing in simulation and analysis; experiments on the use of novel commercial or research architectures, accelerators, quantum and neuromorphic architectures, and other non-traditional systems; performance modeling and analysis of parallel and distributed systems; innovations made in support of large-scale infrastructures and facilities; and methods for and experiences allocating and managing system and facility resources.

Programming Models, Compilers, and Runtime Systems: This track ranges from the design of programming models and paradigms to language and compilers supporting these models and paradigms, to runtime and middleware solutions. Software that is close to the application (as opposed to the bare hardware) but not specific to an application is included – examples includes frameworks targeting cloud and distributed systems; application frameworks for fault tolerance and resilience; software supporting data management, scalable data analytics and similar workloads, and runtime systems for future novel computing platforms including quantum, neuromorphic, and bio-inspired computing.

System Software: This track focuses on software that is close to the bare hardware. Topics include storage and I/O systems; system software for resource management, job scheduling, and energy-efficiency; system software support for accelerators and heterogeneous HPC computing systems; interactions between the OS and the hardware with other software layers; system software support for fault tolerance and resilience; containers and virtual machines; specialized operating systems and related support for high performance computing; and system software for future novel computing platforms including quantum, neuromorphic, and bio-inspired computing.

Architecture: This topics focuses on studies related to both existing and emerging architectures, including architectures for instruction-level and thread-level parallelism; manycore, multicores, accelerators, domain-specific and special-purpose architectures, reconfigurable architectures; memory technologies and hierarchies; volatile and non-volatile emerging memory technologies, solid-state devices; exascale system designs; data center and warehouse-scale architectures; novel big data architectures; network and interconnect architectures; emerging technologies for interconnects; parallel I/O and storage systems; power-efficient and green computing systems; resilience, security, and dependable architectures; performance modeling and evaluation; emerging trends for computing, machine learning, approximate computing, quantum computing, neuromorphic, analog, and bio-inspired computing.

Multidisciplinary: The focus of this track is on papers that cross the boundaries of the tracks listed above and/or address the application of parallel and distributed computing concepts and solutions to other areas of science and engineering. Contributions should either target two or more core areas of parallel and distributed computing or advance the use of parallel and distributed computing in other areas of science and engineering (to include translational research).

Best Paper Award

The program committee will select a small set of top-quality papers as best paper finalists, and one paper as the winner, for recognition with the Best Paper Award.

Best Open-Source Contribution Award

This year, the IPDPS technical program committee particularly welcomes submissions with open-source tool and dataset artifacts, relevant to the parallel and distributed computing community, as one of their technical contributions. The authors of accepted papers will be encouraged to identify if they wish their submissions to be considered for the best open-source contribution award. Such papers will be evaluated by a dedicated open-source tool and dataset artifacts committee. A small set of such papers will be identified as the best open-source contribution paper finalists as appropriate and applicable based on the quality of the contribution. One paper may be selected as the winner among the finalists, for recognition with the Best Open-Source Contribution Award, depending upon the contribution level and the recommendation from the committee. The two award categories are not exclusive (a paper can be nominated for both the best paper award and best open-source contribution award).

WHAT/WHERE TO SUBMIT

Abstracts of at most 500 words must be submitted by September 29, 2022. Manuscripts must be submitted by October 6, 2022; submitted manuscripts may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The submitted manuscripts should not include author names and affiliations, as a double-blind review process will be followed.

The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here. Files should be submitted by following the instructions at the IPDPS 2023 Submission Site (powered by Linklings). Return here in August 2022 to submit an abstract and register your paper by September 29th.

REVIEW OF MANUSCRIPTS

All submitted manuscripts will be reviewed by the Program Committee under a double-blind review process. Submissions will be judged on correctness, originality, technical strength, significance, potential impact, quality of presentation, and interest and relevance to the conference scope. Submitted manuscripts should NOT have appeared in or be under consideration for another conference, workshop, or journal.

A high-quality submission should articulate its contributions in multiple aspects:

  • Motivation. Clearly state the objective of the paper and provide strong support to motivate the specific problem the submission is solving.
  • Limitations of state-of-art approaches. Unambiguously discuss and distinguish from the most relevant and most recent prior works.
  • Key insights and contributions. Clearly articulate the major insights that enable the described approach or make it effective. Clearly specify the novelty of these insights and how they advance state-of-the-art. Provide a list of key contributions including flagship theoretical or experimental results and improvement over the prior art, as applicable.
  • Methodology. Clearly specify the key theoretical or experimental methodological details, as applicable. Support the chosen methodological choices (e.g., cite that most relevant and most recent prior works have evaluated their ideas using similar methodology). If new methodology is adopted or theoretical assumptions different from prior art are made, a detailed justification should be provided.
  • Limitations of the proposed approach. As applicable, articulate all the major limitations of the proposed approach and identify conclusions that are sensitive to specific assumptions made in the paper.

The Program Committee will be encouraged to assess the submissions in the above aspects. Therefore, the authors should consider making these aspects clear and easily identifiable, as much as possible, when articulating their contributions. We hope this will help improve both the review-quality (author experience) and reviewing-experience.

Authors will have the opportunity to respond to the reviewers’ questions and provide clarifications before the first-round decisions are made. Note that not all submissions may be invited to submit response/rebuttal. The submissions which are not invited to submit response/rebuttal will be notified with an early-reject decision by December 1, 2022.

Questions may be sent to pc2022@ipdps.org. Abstracts are due September 29, 2022, and full manuscripts must be received by October 6, 2022. This is a final, hard deadline. To ensure fairness, no extensions will be given.

Preliminary decisions will be sent by December 19, 2022, with a decision of either “accept”, “revise”, or “reject”. Authors of papers in the “revise” decision will have the opportunity to submit a new version addressing reviewers’ comments. Such a revised submission will be due on January 19, 2023 and will need to include a cover letter explaining the changes.

The ensuing review process for such submission will result in decisions of either “accept” or “reject”, the latter for the cases where the reviewers assess that the issues they raised were not satisfactorily and sufficiently addressed. Notification of final decisions will be mailed by January 31, 2023, and camera-ready papers will be due February 23, 2023.

2023 IMPORTANT DATES

Abstract submissions:
Thursday, September 29, 2022

Full manuscript submissions (double-blind):
Thursday, October 6, 2022 - FIRM DEADLINE

Author response/rebuttal to reviews:
Thu, 1 Dec - Mon, 5 Dec 2022.

1st round decisions:
Monday, 19 December 2022

Revised submissions due:
Thursday, 19 January 2023

Final decisions:
Tuesday, 31 January 2023

2023 PROGRAM CHAIRS

Gagan Agarwal, Augusta University
Devesh Tiwari, Northeastern University

Search IPDPS

 

Follow IPDPS

   

Tweets by @IPDPS

IPDPS 2022 Report



36th IEEE International Parallel & Distributed Processing Symposium
May 30 – June 3, 2022
(Lyon, France)
HELD VIRTUALLY

REPORT ON IPDPS 2022