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IEEE

Workshop on Irregular Applications: Architectures and Algorithms (IA3)

Location: Dallas , United States

Submission deadline: 8/5/2022

Conference dates: 11/18/2022 - 11/18/2022

Research H-index
2

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 970 8 9 2

Call for Papers

Topics of interest, of both theoretical and practical significance, include but are not limited to:

- Micro- and System-architectures, including multi- and many-core designs, heterogeneous processors, accelerators (GPUs, vector processors, Automata processor), reconfigurable (coarse grained reconfigurable and FPGA designs) and custom processors
- Network architectures and interconnect (including high-radix networks, optical interconnects)
- Novel memory architectures and designs (including processors-in memory)
- Impact of new computing paradigms on irregular workloads (including neuromorphic processors and quantum computing)
- Modeling, simulation and evaluation of novel architectures with irregular workloads
- Innovative algorithmic techniques
- Combinatorial algorithms (graph algorithms, sparse linear algebra, etc.)
- Impact of irregularity on machine learning approaches
- Parallelization techniques and data structures for irregular workloads
- Data structures combining regular and irregular computations (e.g., attributed graphs)
- Approaches for managing massive unstructured datasets (including streaming data)
- Languages and programming models for irregular workloads
- Library and runtime support for irregular workloads
- Compiler and analysis techniques for irregular workloads
- High performance data analytics applications (including graph databases and solutions that combine graph algorithms with machine learning)
- Applications that integrate scientific simulation, data analytics, and learning, and require efficient execution of irregular workloads

Overview

The scientific conference ranking presented on this page highlights leading conferences in the field of Computer Science. This comprehensive ranking has been meticulously curated by Research.com, a renowned source of reliable data and analytics for the global scientific community since 2014. With its dedication to rigorous research, Research.com serves as a trusted authority across all major disciplines, including Computer Science.

The position of each conference in the ranking is determined using Research.com's exclusive bibliometric score. This score is calculated based on an advanced algorithm that integrates the estimated h-index and accounts for the number of distinguished scientists who have made appearances at the conference over the preceding three years. This dual-factor approach ensures both the influence and the caliber of contributing authors are thoroughly reflected.

Impact Score values in this ranking were gathered as of 2024-11-27, offering the most current and relevant data available. The comprehensive evaluation process encompassed the detailed scrutiny of over 2,742 conferences, selected following a stringent examination of more than 148,739 scientific documents published by 13,184 prominent and highly respected scientists within the Computer Science domain over the last three years.

This multi-stage, expert-led analysis underscores the depth and reliability of the ranking, enabling researchers and institutions to confidently identify the most impactful conferences in the field. For a thorough explanation of the ranking methodology and computational details, please 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 Irregular Applications: Architectures and Algorithms (based on the number of publications) are:

  • George Karypis (5 papers) published 1 paper at the last edition,
  • Oded Green (4 papers) absent at the last edition,
  • Matei Ripeanu (4 papers) published 1 paper at the last edition,
  • Daniel Thuerck (3 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Antonino Tumeo (3 papers) absent at the last 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 Irregular Applications: Architectures and Algorithms (based on the number of publications) are:

  • Georgia Institute of Technology (9 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Pacific Northwest National Laboratory (6 papers) absent at the last edition,
  • Lawrence Livermore National Laboratory (5 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Nvidia (5 papers) absent at the last edition,
  • Sandia National Laboratories (5 papers) published 2 papers 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 2020 edition, 18.18% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.22% of all publications and 44.44% 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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