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Analysis of institutional authors

Colmenar, J MAuthor

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October 17, 2022
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Characterizing asynchronous variable latencies through probability distribution functions

Publicated to: MICROPROCESSORS AND MICROSYSTEMS. 33 (7-8): 483-497 - 2009-11-01 33(7-8), DOI: 10.1016/j.micpro.2009.09.005

Authors:

Colmenar, JM; Garnica, O; Lanchares, J; Hidalgo, JI
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Affiliations

Univ Complutense Madrid, Architecture & Technol Comp Syst Grp ArTeCS, Madrid, Spain - Author
Univ Complutense Madrid, CES Felipe 2, Madrid, Spain - Author
Univ Complutense Madrid, Dept Comp Architecture & Syst Engn, Madrid, Spain - Author
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Abstract

Asynchronous systems are attracting the interest of the designer community because of several useful features for sub-micron technologies: process-variation tolerant, low-power, removal of the clock tree generation, etc. One of the main problems for the simulation of these systems is the variable computation delays of their modules, that compute as fast as possible under the actual conditions of the system. This behavior complicates the high-level simulation of such systems and it is the main reason for the lack of simulation tools devoted to asynchronous microarchitectures. In this paper we present a modeling method useful for this kind of systems that describes the variable computation delay of an asynchronous circuit by using probability distribution functions. This method is deployed in an architectural simulator of a 64-bit superscalar asynchronous microarchitecture where the computation delay of each one of the modules of the microarchitecture was characterized through a probability distribution function. The experimental results show that the asynchronous behavior is successfully modeled, and the architectural simulations of standard benchmarks is affordable in terms of wall-clock simulation time. (C) 2009 Elsevier B.V. All rights reserved.
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Keywords

AsynchronousDesignMicroprocessorsPerformanceProbability distribution functionsSystemsVariable latency

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal MICROPROCESSORS AND MICROSYSTEMS, and although the journal is classified in the quartile Q3 (Agencia WoS (JCR)), its regional focus and specialization in Computer Science, Theory & Methods, give it significant recognition in a specific niche of scientific knowledge at an international level.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-05:

  • WoS: 1
  • Scopus: 2
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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 2026-04-05:

  • 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: 7 (PlumX).
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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 (Colmenar Verdugo, José Manuel) .

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Awards linked to the item

The authors would like to thank all the reviewers for their insightful advices and to state that their comments have been helpful to improve the quality of the paper.This work has been supported by Spanish Government Grant TIN2008-00508 and MEC Consolider Ingenio CSD00C-07-20811 of the Spanish Council of Science and Technology.
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