World's Best Scientists 2026 revealed!
ACM

Principles and Practice of Parallel Programming 2023 (PPoPP)

Location: Montreal, , Canada

Submission deadline: 8/17/2022

Conference dates: 2/25/2023 - 3/1/2023

Research H-index
20

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 121 81 108 20

Call for Papers

PPoPP is the premier forum for leading work on all aspects of parallel programming, including theoretical foundations, techniques, languages, compilers, runtime systems, tools, and practical experience. In the context of the symposium, “parallel programming” encompasses work on concurrent and parallel systems (multicore, multi-threaded, heterogeneous, clustered, and distributed systems; grids; datacenters; clouds; and large scale machines). Given the rise of parallel architectures in the consumer market (desktops, laptops, and mobile devices) and data centers, PPoPP is particularly interested in work that addresses new parallel workloads and issues that arise out of extreme-scale applications or cloud platforms, as well as techniques and tools that improve the productivity of parallel programming or work towards improved synergy with such emerging architectures.

View the track page for all the details of the main conference.

Proceedings will be available in the ACM Digital Library.

Important Dates
Full paper submission: August 17, 2022
Author response period: October 26–October 28, 2022
Author notification: November 7, 2022
Artifact submission to AE committee: November 16, 2022
Artifact notification by AE committee: December 30, 2022
Final paper due: January 6, 2023

Overview

This authoritative ranking presents a comprehensive list of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—a leading platform renowned for delivering trusted data on scientific research and contributions since 2014. The objective of this ranking is to provide researchers, academicians, and professionals with a credible resource for evaluating the influence and prestige of conferences within the domain.

Each conference's position in the ranking is determined by a unique bibliometric score developed exclusively by Research.com. This score is calculated using a combination of the estimated h-index and the number of distinguished scientists who have contributed to the conference over the past three years. This dual-criteria approach ensures a rigorous and holistic assessment of conference impact and relevance.

The Impact Score values featured in this ranking are based on data gathered as of 2024-11-27. The ranking process involved a comprehensive review of more than 2,742 conferences, each selected following the thorough evaluation and examination of over 148,739 scientific documents. These publications, produced within the last three years, are the work of 13,184 leading and highly-respected scientists in the Computer Science community. Such an extensive and rigorous review process underscores the depth of analysis and the commitment to accuracy that characterizes this ranking.

For a detailed explanation of the methodologies and criteria employed in calculating the ranking scores, readers are encouraged to visit 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.

The top authors publishing at ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (based on the number of publications) are:

  • Michael L. Scott (18 papers) absent at the last edition,
  • John Mellor-Crummey (18 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Keshav Pingali (17 papers) published 1 paper at the last edition,
  • P. Sadayappan (15 papers) absent at the last edition,
  • Torsten Hoefler (14 papers) published 2 papers at the last edition the same number as 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (based on the number of publications) are:

  • IBM (65 papers) absent at the last edition,
  • University of Illinois at Urbana–Champaign (56 papers) published 2 papers at the last edition,
  • Intel (47 papers) absent at the last edition,
  • Massachusetts Institute of Technology (39 papers) absent at the last edition,
  • Microsoft (39 papers) published 1 paper at the last 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 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.58% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.83% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.08% of all publications and 37.50% 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.

Related Online Degrees & Career Pathways

For those interested in advancing their knowledge beyond traditional Computer Science, a variety of online degree options offer tailored career pathways. Pursuing a data science degree online equips students with skills in analytics, machine learning, and big data, opening doors to high-demand roles in multiple industries.

With the growing importance of user experience, an online ux design degree helps learners master the art of designing intuitive and engaging digital interfaces, critical for product development and digital marketing careers.

Emerging technologies like blockchain are also shaping the future. A master in blockchain offers specialized knowledge in cryptocurrencies, decentralized systems, and fintech innovations, preparing graduates for cutting-edge positions in finance and technology sectors.

Additionally, an applied artificial intelligence bachelor degree provides a strong foundation in AI principles and applications, which are rapidly transforming industries such as healthcare, automotive, and robotics. These diverse online degrees reflect the dynamic opportunities available to students who want to tailor their education and career in the tech realm.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles