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Analysis of institutional authors

Roberto SierraAuthorCarlos CarrerasAuthor

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November 13, 2019
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Proceedings Paper
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High-Performance Decoding of Variable-Length Memory Data Packets for FPGA Stream Processing

Publicated to:2019 29th International Conference On Field Programmable Logic And Applications (Fpl). 307-313 - 2019-09-01 (), DOI: 10.1109/FPL.2019.00056

Authors: Roberto Sierra; Filippo Mangani; Carlos Carreras; Gabriel Caffarena

Affiliations

Universidad Politécnica de Madrid - Author
Universidad San Pablo CEU - Author

Abstract

Execution times of FPGA streaming architectures implementing large DFGs with large datasets, as in mesh-based CFD simulations, mostly depend on the long data transfers between external memory and FPGA. If datasets consist of variable-length data packets (i.e. describing unstructured meshes), the common approach that forces the longest length in all packets to facilitate stream decoding decreases overall performance due to the increased size of the stream. This paper presents the design of a parameterizable high-performance decoder of variable-length packets. It uses a general data frame structure and it enhances performance through optimized pipelined computations and distributed flow control. Results show working frequencies over 400~MHz on a Stratix V device, improving performance by at least 45% from a previous ad-hoc design.

Keywords

DecodingFpgaStreamingVariable-length

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.65, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Sep 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-09-23, the following number of citations:

  • WoS: 1
  • Scopus: 3

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-09-23:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (SIERRA CABRERA, ROBERTO) .