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Rivet: a flexible environment for computer systems visualization

Authors:

Mendel Rosenblum,

Pat HanrahanAuthors Info & Claims

ACM SIGGRAPH Computer Graphics, Volume 34, Issue 1

Pages 68 - 73

https://doi.org/10.1145/563788.604455

Published: 01 February 2000 Publication History

Abstract

Rivet is a visualization system for the study of complex computer systems. Since computer systems analysis and visualization is an unpredictable and iterative process, a key design goal of Rivet is to support the rapid development of interactive visualizations capable of visualizing large data sets. In this paper, we present Rivet's architecture, focusing on its support for varied data sources, interactivity, composition and user-defined data transformations. We also describe the challenges of implementing this architecture efficiently and flexibly. We conclude with several examples of computer systems visualizations generated within Rivet, including studies of parallel systems, superscalar processors and mobile network usage.

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Published In

cover image ACM SIGGRAPH Computer Graphics

ACM SIGGRAPH Computer Graphics Volume 34, Issue 1

February 2000

73 pages

ISSN:0097-8930

DOI:10.1145/563788

Issue’s Table of Contents

Copyright © 2000 Copyright is held by the owner/author(s).

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Publication History

Published: 01 February 2000

Published in SIGGRAPH Volume 34, Issue 1

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Constantinescu ZVladoiu M(2021)viztop – Intuitive Visualization of Remote Real-Time Monitoring of Linux Processes2021 20th RoEduNet Conference: Networking in Education and Research (RoEduNet)10.1109/RoEduNet54112.2021.9638285(1-6)Online publication date: 4-Nov-2021
https://doi.org/10.1109/RoEduNet54112.2021.9638285
Roberts RLaramee R(2018)Visualising Business Data: A SurveyInformation10.3390/info91102859:11(285)Online publication date: 17-Nov-2018
https://doi.org/10.3390/info9110285
Godfrey PGryz JLasek P(2016)Interactive Visualization of Large Data SetsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2016.255732428:8(2142-2157)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1109/TKDE.2016.2557324
Beniamine DDiener MHuard GNavaux PBremer PMohr BPascucci VSchulz M(2015)TABARNACProceedings of the 2nd Workshop on Visual Performance Analysis10.1145/2835238.2835239(1-9)Online publication date: 15-Nov-2015
https://dl.acm.org/doi/10.1145/2835238.2835239
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Taghavi TPimentel ASabeghi M(2012)VMODEX: A novel visualization tool for rapid analysis of heuristic-based multi-objective design space exploration of heterogeneous MPSoC architecturesSimulation Modelling Practice and Theory10.1016/j.simpat.2011.12.00622(166-196)Online publication date: Mar-2012
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