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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better are-we-fast-yet alternative or higher similarity.
are-we-fast-yet reviews and mentions
Posts with mentions or reviews of are-we-fast-yet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-26.
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A C++ version of the Are-we-fast-yet benchmark suite
See https://github.com/smarr/are-we-fast-yet/blob/master/docs/guidelines.md.
- Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
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.NET 6 vs. .NET 5: up to 40% speedup
> Software benchmarks are super subjective.
No, they are not, but they are just a measurement tool, not a source of absolute thruth. When I studied engineering at ETH we learned "Who measures measures rubbish!" ("Wer misst misst Mist!" in German). Every measurement has errors and being aware of these errors and coping with it is part of the engineering profession. The problem with programming language benchmarks is often that the goal is to win by all means; to compare as fairly and objectively as possible instead, there must be a set of suitable rules adhered to by all benchmark implementations. Such a set of rules is e.g. given for the Are-we-fast-yet suite (https://github.com/smarr/are-we-fast-yet).
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Is CoreCLR that much faster than Mono?
I am aware of the various published test results where CoreCLR shows fantastic speed-ups compared to Mono, e.g. when calculating MD5 or SHA hash sums.
But my measurements based on the Are-we-fast-yet benchmark suite (see https://github.com/smarr/are-we-fast-yet and https://github.com/rochus-keller/Oberon/tree/master/testcases/Are-we-fast-yet) show a completely different picture. Here the difference between Mono and CoreCLR (both versions 3 and 5) is within +/- 10%, so nothing earth shattering.
Here are my measurement results:
https://github.com/rochus-keller/Oberon/blob/master/testcases/Are-we-fast-yet/Are-we-fast-yet_results_linux.pdf comparing the same benchmark on the same machine run under LuaJIT, Mono, Node.js and Crystal.
https://github.com/rochus-keller/Oberon/blob/master/testcases/Are-we-fast-yet/Are-we-fast-yet_results_windows.pdf comparing Mono, .Net 4 and CoreCLR 3 and 5 on the same machine.
Here are the assemblies of the Are-we-fast-yet benchmark suite used for the measurements, in case you want to reproduce my results: http://software.rochus-keller.ch/Are-we-fast-yet_CLI_2021-08-28.zip.
I was very surprised by the results. Perhaps it has to do with the fact that I measured on x86, or that the benchmark suite used includes somewhat larger (i.e. more representative) applications than just micro benchmarks.
What are your opinions? Do others have similar results?
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Is CoreCLR really that much faster than Mono?
But my measurements based on the Are-we-fast-yet benchmark suite (see https://github.com/smarr/are-we-fast-yet and https://github.com/rochus-keller/Oberon/tree/master/testcases/Are-we-fast-yet) show a completely different picture. Here the difference between Mono and CoreCLR (both versions 3 and 5) is within +/- 10%, so nothing earth shattering.
There is a good reason for this; have a look at e.g. https://github.com/smarr/are-we-fast-yet/blob/master/docs/guidelines.md.
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Ranking programming languages by energy efficiency (scientific paper, 2021)
If you want to compare different language implementations, you have to somehow control what you compare; the implementations must do the same thing with the same quantity, and especially for VMs and interpreters you want to make sure that you're not comparing a native library call with an interpreted version of the same function. The Are-we-fast-yet has a decent set of rules from by point of view to enable fair comparisons, and even though it's still possible to use ideomatic paradigms supported by the language. Have you seen this document: https://github.com/smarr/are-we-fast-yet/blob/master/docs/guidelines.md?
Personally, I like this benchmark suite better, but unfortunately the number of implementations is still quite small: https://github.com/smarr/are-we-fast-yet
See the publication (https://stefan-marr.de/papers/dls-marr-et-al-cross-language-compiler-benchmarking-are-we-fast-yet/) about what rules they apply. The code is ideomatic, but they require that all implementations use the same data structure implementations to make it comparable. Here is a discussion in the pull request: https://github.com/smarr/are-we-fast-yet/pull/30.
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Ruby 3 Released
According to the Are-we-fast-yet benchmark suite MRI JIT Ruby 3.0 RC1 is about factor 11 slower than Node.js 12.6 and about factor 5 slower than LuaJIT 2.0, and only factor 1.4 faster than MRI Ruby 2.1.0. Here are the results: http://software.rochus-keller.ch/are-we-fast-yet_crystal_ruby_2_3_lua_node_i386_results_2020-12-23.pdf. Here is more information about the benchmark suite: https://stefan-marr.de/papers/dls-marr-et-al-cross-language-compiler-benchmarking-are-we-fast-yet/ and https://github.com/smarr/are-we-fast-yet. It's not just some random micro benchmarks, but a well designed suite with representative algorithms and ideomatic language use optimized for cross-language comparisons.
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A note from our sponsor - Sonar
www.sonarsource.com | 2 Oct 2023
Stats
Basic are-we-fast-yet repo stats
17
299
0.0
12 days ago
smarr/are-we-fast-yet is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of are-we-fast-yet is Java.
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