BIFP: EEMBC AutoBench suite (Benchmark 3)
In ercv: Fitting Tails by the Empirical Residual Coefficient of Variation
Description
Usage
Format
References
Description
This data corresponds to 1000 observations sampled from the third benchmark of the well-known suite for real-time systems EEMBC AutoBench suite (Poovey, 2007), including a number of of programs used in automotive embedded systems. It corresponds to the basic integer and floating point (BIFP) algorithm.
Usage
1
Format
A numeric vector.
References
Abella J., Padilla, M.,del Castillo, J. & Cazorla, F. (2017). Measurement-Based Worst-Case Execution Time Estimation Using the Coefficient of Variation". ACM Transactions on Design Automation of Electronic Systems (TODAES), 22(4).
Poovey, J. (2007). Characterization of the EEMBC Benchmark Suite. North Carolina State University.
ercv documentation built on Oct. 30, 2019, 9:49 a.m.
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Description Usage Format References
Description
This data corresponds to 1000 observations sampled from the third benchmark of the well-known suite for real-time systems EEMBC AutoBench suite (Poovey, 2007), including a number of of programs used in automotive embedded systems. It corresponds to the basic integer and floating point (BIFP) algorithm.
Usage
1 |
Format
A numeric vector.
References
Abella J., Padilla, M.,del Castillo, J. & Cazorla, F. (2017). Measurement-Based Worst-Case Execution Time Estimation Using the Coefficient of Variation". ACM Transactions on Design Automation of Electronic Systems (TODAES), 22(4).
Poovey, J. (2007). Characterization of the EEMBC Benchmark Suite. North Carolina State University.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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