PrimesResult
prechelt-phone-number-encoding
| PrimesResult | prechelt-phone-number-encoding | |
|---|---|---|
| 6 | 18 | |
| 29 | 29 | |
| - | - | |
| 0.0 | 2.7 | |
| about 2 years ago | 4 months ago | |
| Java | ||
| - | - |
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PrimesResult
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The Sad True
https://github.com/luizsol/PrimesResult People give golang crap for being slower than C. Python is 8.6% of the speed of golang.
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.NET vs Go vs Node
Possible place to start: https://github.com/luizsol/PrimesResult
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Best Lisp dialect?
The Performance of CL is much better than Scheme. One example is here https://github.com/luizsol/PrimesResult. Lisp is 11, Chez scheme implementation is 40
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Why I Use Nim instead of Python for Data Processing
The thing with Python is it's usually pretty easy to optimise quite impressively.
E.g. random example:
Sprinkle some cdef's in your python and suddenly you're faster than c++
https://github.com/luizsol/PrimesResult
https://github.com/PlummersSoftwareLLC/Primes/blob/drag-race...
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Common Lisp still beats Java, Rust, Julia, Dart in 2021 on benchmarks based on phone number encoding from the famous paper "Lisp as an alternative to Java" from 21 years ago
Sure, but never discount compile time code that can work wonders for your performance (which Rust doesn't really fully have) - https://github.com/luizsol/PrimesResult. Zig is so high up in the results precisely (I'd wager) because of compile time semantics.
- The results of the Dave Plummer's Programming Languages Drag Race.
prechelt-phone-number-encoding
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Benchmarking Java against Rust #3
You're looking at the non-optimized version. If you read the blog post you would've seen your suggestions had already been implemented.
- Help me find bottlenecks in this benchmark. I ported the Common Lisp solution to Zig and the Zig version is much slower?!
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Optimising Common Lisp to try and beat Java and Rust on phone encoding 2/2
> it’s using Unicode-aware string stuff
Rust uses UTF-8 internally for Strings, so it's very efficient to parse a file into a String, then using slices to go through it... this is probably the best you can get as parsing ASCII input as UTF-8 is very efficient (the 0-bit is always zero in ASCII, the unicode decoder only needs to check that's the case for every byte, so it's not some kind of complicated computation it's doing to decode)...
If you use bytes for everything, you will make the whole code much harder to follow and it still won't run faster.
Check for yourself: https://github.com/renatoathaydes/prechelt-phone-number-enco...
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Learning Common Lisp to beat Java and Rust on a phone encoding problem
This is a pretty introductory CL article, mostly a commentary on Norvig's solution to the problem. Still, I learned about the #. readmacro from it. The conclusion: "[The Lisp implementation] was the fastest implementation for all input sizes except the largest one, where it performed just slightly worse than my best Java implementation." GH repo at https://github.com/renatoathaydes/prechelt-phone-number-enco.... Sounds like he was mostly measuring the performance of the SBCL bignum implementation.
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Revenge Of Lisp - Learning Common Lisp to beat Java and Rust on a phone encoding problem
Here are the commits I've made so far. If anyone wants to help write the most efficient possible Lisp implementation, please send suggestions here!
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How to write fast Rust code
OMG you're right... I'm the author, and the reason it was allocating in my original code was that I was calling the operators on a reference to n. See https://github.com/renatoathaydes/prechelt-phone-number-encoding/commit/6683dc10cc4fb380abead632b87d94e8937f8377
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How to write slow Rust code - Part 2 (a deeper look into what really made my code slow)
This commit show how to improve that: https://github.com/renatoathaydes/prechelt-phone-number-encoding/commit/561a7307b5574bd6fd7b8cc638abf6f29884b6ca
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My battle to beat Common Lisp and Java (in Rust) on a phone number encoding problem. Sequel to "Revisiting Prechelt's Paper…". (and they didn't even optimize the Lisp code)
See https://github.com/renatoathaydes/prechelt-phone-number-encoding/issues/6
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How to write really slow Rust code
I get the need to want to obsessively optimize the code. There's nothing more fun than to optimize something simple, artificial, and narrowly-defined. But y'all need to take a deep breath, step back, and realize that one blog post isn't going to suddenly define the language (nor should it personally define you).
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How to write slow Rust code
source: https://github.com/renatoathaydes/prechelt-phone-number-enco...
What are some alternatives?
sb-simd - A convenient SIMD interface for SBCL.
woo - A fast non-blocking HTTP server on top of libev
scikit-bio - scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
prechelt-phone-number-encoding - Comparison between Java and Common Lisp solutions to a phone-encoding problem described by Prechelt
Primes - Prime Number Projects in C#/C++/Python
libphonenumber - Google's common Java, C++ and JavaScript library for parsing, formatting, and validating international phone numbers.
RecursiveFactorization.jl
doom-emacs - An Emacs framework for the stubborn martian hacker [Moved to: https://github.com/doomemacs/doomemacs]
nimtorch - PyTorch - Python + Nim
num-bigint - Big integer types for Rust
libpython-clj - Python bindings for Clojure