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IPDPS 2022 : IEEE International Symposium on Parallel & Distributed Processing

IPDPS 2022 : IEEE International Symposium on Parallel & Distributed Processing (IPDPS)

Name: International Symposium on Parallel and Distributed Processing (IPDPS)
Start: 2022-05-30
End: 2022-05-30
Location: Lyon

Location: Lyon , France

Submission deadline: 10/1/2021

Conference dates: 5/30/2022 - 5/30/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Electronics and Electrical Engineering	429	13	15	5
Computer Science	103	183	253	22

Call for Papers

Topics of interest include but are not limited to the following topic areas:

Algorithms: Parallel and distributed computing theory and algorithms. Design and analysis of novel numerical and combinatorial parallel algorithms; reputation and incentive compatible design for distributed protocols and for distributed resource management; communication and synchronization on parallel and distributed systems; parallel algorithms handling power, mobility, and resilience; algorithms for cloud computing; algorithms for edge and fog computing; machine learning algorithms; domain-specific parallel and distributed algorithms; randomization in distributed algorithms and block-chain protocols.
Experiments: Experiments and practice in parallel and distributed computing. 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, neuromorphic and quantum 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; methods for and experiences allocating and managing system and facility resources.
Programming Models & Compilers: Programming models, compilers and runtimes for parallel and distributed applications and systems. Parallel programming paradigms, models and languages; compilers, runtime systems, programming environments and tools for the support of parallel programming; parallel software development and productivity.
System Software: System software and middleware for parallel and distributed systems. System software support for scientific workflows (including in-situ workflows); storage and I/O systems; system software for resource management, job scheduling, and energy-efficiency; frameworks targeting cloud and distributed systems; system software support for accelerators and heterogeneous HPC computing systems; interactions between the OS, runtime, compiler, middleware, and tools; system software support for fault tolerance and resilience; containers and virtual machines; system software supporting data management, scalable data analytics, machine learning, and deep learning; specialized operating systems and runtime systems for high performance computing and exascale systems; system software for future novel computing platforms including quantum, neuromorphic, and bio-inspired computing.
Architecture: 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 computing and analog computing.
Multidisciplinary: 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 are encouraged and can be submitted to the multidisciplinary track. Papers focused on translational research are particularly encouraged. 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. During the submission of multidisciplinary papers, authors should indicate the areas of focus of their paper.

Overview

The scientific conference ranking presented on this page offers a comprehensive and authoritative evaluation of leading conferences within the field of Computer Science. Developed by Research.com, a prominent platform recognized for its trusted scientific data and insights across all major research disciplines since 2014, this ranking is designed to support researchers, academics, and professionals in identifying the most impactful venues for presenting and discovering cutting-edge research.

The position of each conference in this ranking is determined by a unique bibliometric score, meticulously developed by Research.com. This score is calculated using an advanced methodology that incorporates the estimated h-index as well as the number of leading scientists contributing to each conference over the preceding three years. The Impact Score values reflected in the ranking were collected on 2024-11-27, ensuring an up-to-date and relevant assessment of conference influence and prestige.

The ranking process involved an in-depth analysis, with over 2,742 conferences in Computer Science rigorously evaluated following careful selection and review. This exhaustive investigation spanned more than 148,739 scientific documents published in the last three years by a distinguished group of 13,184 leading and highly respected scientists in the field. Such breadth and depth of analysis underscore the complexity and reliability of the final ranking.

For a detailed explanation of the bibliometric score calculation and other elements of the ranking methodology, please refer to our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at International Parallel and Distributed Processing Symposium (based on the number of publications) are:

Jack Dongarra (41 papers) published 4 papers at the last edition the same number as at the previous edition,
Marco D. Santambrogio (28 papers) published 3 papers at the last edition, 4 less than at the previous edition,
Dhabaleswar K. Panda (25 papers) published 3 papers at the last edition, 1 more than at the previous edition,
Martin Schulz (25 papers) published 1 paper at the last edition the same number as at the previous edition,
Yves Robert (24 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at International Parallel and Distributed Processing Symposium (based on the number of publications) are:

IBM (148 papers) published 8 papers at the last edition, 3 less than at the previous edition,
Georgia Institute of Technology (93 papers) published 8 papers at the last edition, 5 less than at the previous edition,
Lawrence Livermore National Laboratory (84 papers) published 8 papers at the last edition, 5 less than at the previous edition,
Argonne National Laboratory (82 papers) published 10 papers at the last edition, 1 less than at the previous edition,
Ohio State University (81 papers) published 8 papers at the last edition, 3 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2019 edition, 3.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.14% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.90% of all publications and 53.73% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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