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mergingTools  

Tools to Merge Hardware Event Monitors (HEMs) Coming from Separate Subexperiments into One Single Dataframe
View on CRAN: Click here


Download and install mergingTools package within the R console
Install from CRAN:
install.packages("mergingTools")

Install from Github:
library("remotes")
install_github("cran/mergingTools")

Install by package version:
library("remotes")
install_version("mergingTools", "1.0.1")



Attach the package and use:
library("mergingTools")
Maintained by
Sergi Vilardell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-13
Latest Update: 2023-09-13
Description:
Implementation of two tools to merge Hardware Event Monitors (HEMs) from different subexperiments. Hardware Reading and Merging (HRM), which uses order statistics to merge; and MUlti-Correlation HEM (MUCH) which merges using a multivariate normal distribution. The reference paper for HRM is: S. Vilardell, I. Serra, R. Santalla, E. Mezzetti, J. Abella and F. J. Cazorla, "HRM: Merging Hardware Event Monitors for Improved Timing Analysis of Complex MPSoCs," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11, pp. 3662-3673, Nov. 2020, . For MUCH: S. Vilardell, I. Serra, E. Mezzetti, J. Abella, and F. J. Cazorla. 2021. "MUCH: exploiting pairwise hardware event monitor correlations for improved timing analysis of complex MPSoCs". In Proceedings of the 36th Annual ACM Symposium on Applied Computing (SAC '21). Association for Computing Machinery. . This work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773).
How to cite:
Sergi Vilardell (2023). mergingTools: Tools to Merge Hardware Event Monitors (HEMs) Coming from Separate Subexperiments into One Single Dataframe. R package version 1.0.1, https://cran.r-project.org/web/packages/mergingTools
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