This is the Linux app named BenchmarkTools.jl whose latest release can be downloaded as v1.6.3sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named BenchmarkTools.jl with OnWorks for free.
Suivez ces instructions pour exécuter cette application :
- 1. Téléchargé cette application sur votre PC.
- 2. Entrez dans notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous voulez.
- 3. Téléchargez cette application dans ce gestionnaire de fichiers.
- 4. Démarrez l'émulateur en ligne OnWorks Linux ou Windows en ligne ou l'émulateur en ligne MACOS à partir de ce site Web.
- 5. Depuis le système d'exploitation OnWorks Linux que vous venez de démarrer, accédez à notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous souhaitez.
- 6. Téléchargez l'application, installez-la et exécutez-la.
CAPTURES D'ÉCRAN:
BenchmarkTools.jl
DESCRIPTION:
BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package implemented an execution strategy for collecting and summarizing individual benchmark results, while BenchmarkTrackers implemented a framework for organizing, running, and determining regressions of groups of benchmarks. Under the hood, BenchmarkTrackers relied on Benchmarks for actual benchmark execution.
Fonctionnement
- BenchmarkTools is a Julia Language package
- Documents disponibles
- Individual sample noise could significantly change the execution strategy used to collect further samples
- The estimates used to characterize benchmark results and to detect regressions were statistically vulnerable to noise
- Different benchmarks have different noise tolerances, but there was no way to tune this parameter on a per-benchmark basis
- Running benchmarks took a long time - an order of magnitude longer than theoretically necessary for many functions
- Using the system in the REPL (for example, to reproduce regressions locally) was often cumbersome
Langage de programmation
Julia
Catégories
This is an application that can also be fetched from https://sourceforge.net/projects/benchmarktools-jl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.