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ACM

ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)

Location: Monterey, CA , United States

Submission deadline: 9/16/2022

Conference dates: 2/12/2023 - 3/14/2023

Research H-index
15

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 59 36 65 15

Call for Papers

The ACM/SIGDA International Symposium on Field-Programmable Gate Arrays is a premier conference for presentation of advances in FPGA technology. In 2023, the 31st edition of FPGA will be held in Monterey, California, USA. Accepted papers will be published in the conference proceedings and available in the ACM Digital Library. At least one of the authors of each accepted submission is required to present the work. Accommodations will be made for the authors who face travel restrictions or unforeseen difficulties with travel.

Submission website: Link will be available soon

Artifact evaluation guide: https://isfpga.org/artifact-evaluation/

Paper Submissions (with and without Artifacts)
We solicit research papers related to the following areas:

FPGA Architecture: Architectures for programmable logic fabrics or their components, including routing, flexible logic cells, embedded blocks (memory, DSP, processors), and I/O interfaces. Novel commercial architectures and architectural features.
FPGA Circuit Design: Circuits and layout techniques for the design of FPGAs. Impact of future process and design technologies on FPGAs as well as novel memory or nano-scale devices. Methods for analyzing and improving static and dynamic power consumption, power and clock distribution, yield, manufacturability, security, reliability, and testability.
CAD for FPGAs: Algorithms for synthesis, technology mapping, logic and timing optimization, clustering, placement, and routing of FPGAs. Novel design software for system-level partitioning, debug, and verification. Algorithms for modeling, analysis and optimization of timing and power.
High-Level Abstractions and Tools for FPGAs: General-purpose and domain-specific languages, tools, and techniques to facilitate the design, debugging and verification of FPGA-based applications and systems. Novel hardware/software co-design and high-level synthesis methodologies enabling digital signal processing, compute acceleration, networking, machine learning, and embedded systems.
FPGA-based and FPGA-like Computing Engines: Systems and software for compiled accelerators, reconfigurable/adaptive computing, and rapid-prototyping. Programmable overlay architectures implemented using FPGAs.
Applications and Design Studies: Implementation of novel designs on FPGAs establishing state-of-the-art in high-performance, low-power, security, or high-reliability. Designs leveraging unique capabilities of FPGA architectures or demonstrating significant improvements over alternative programmable technologies (e.g., CPU, GPU). Design studies or architecture explorations enabling improvement of FPGA architectures.
Research submissions can be in either of two categories:

Regular — at most 10 pages (excluding references), for a regular presentation at the conference.
Short — at most 6 pages (excluding references), for a brief presentation.

Overview

This ranking presents a comprehensive evaluation of scientific conferences within the field of Engineering and Technology, offering valuable insights for researchers, scholars, and academic professionals. The ranking has been meticulously prepared by Research.com, a leading authority in the provision of trusted data on scientific contributions in all major fields, including Engineering and Technology. Since 2014, Research.com has maintained a strong reputation for delivering reliable and evidence-based evaluations in the academic sphere.

Each conference’s position in the ranking is determined by a unique bibliometric score developed by Research.com. This score is calculated using a rigorous methodology that takes into account the estimated h-index and the number of leading scientists who have presented at the conference over the past three years. This dual focus ensures that both the scholarly impact and the prominence of contributors are reflected in the ranking.

The current edition incorporates Impact Score values collected as of 2024-11-27, guaranteeing the relevance and timeliness of the data provided. The ranking process entailed a thorough review and analysis of more than 2,262 conferences, selected following the careful examination of over 26,934 scientific documents published in the last three years by 9,385 distinguished and highly respected scientists in Engineering and Technology.

For readers seeking a detailed understanding of the criteria and procedures used in compiling these rankings, a comprehensive explanation is available on 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 Field Programmable Gate Arrays (based on the number of publications) are:

  • Jason Cong (25 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Guy G.F. Lemieux (18 papers) absent at the last edition,
  • Jason H. Anderson (15 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • George A. Constantinides (15 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Jonathan Rose (15 papers) published 1 paper 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 Field Programmable Gate Arrays (based on the number of publications) are:

  • University of Toronto (55 papers) published 6 papers at the last edition, 1 more than at the previous edition,
  • Imperial College London (38 papers) published 6 papers at the last edition, 1 less than at the previous edition,
  • University of California, Los Angeles (36 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Xilinx (33 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • University of British Columbia (23 papers) published 1 paper at the last edition the same number as 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 2017 edition, 4.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 47.76% were posted by at least one author from the top 10 institutions publishing at the conference. Another 19.40% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.90% of all publications and 11.94% 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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