Revisiting Prechelt’s paper and follow-ups comparing Java, Lisp, C/C++ and scripting languages (incl. CL VS Java VS Rust benchmark)

This page summarizes the projects mentioned and recommended in the original post on /r/programming

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  • prechelt-phone-number-encoding

    Comparison between Java and Common Lisp solutions to a phone-encoding problem described by Prechelt

  • FYI I changed Rust to use a Vec just to see if that really makes it much faster...

  • prechelt-phone-number-encoding

    Comparison between Java and Common Lisp solutions to a phone-encoding problem described by Prechelt (by philipc)

  • The changes that I have already described in this thread (avoid cloning words, avoid allocating unneeded big ints): https://github.com/philipc/prechelt-phone-number-encoding/tree/rust

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • num-bigint

    Big integer types for Rust

  • Using an enum to simulate dynamic typing: https://github.com/philipc/prechelt-phone-number-encoding/tree/rust-number. This should be similar to the performance improvements from something like https://github.com/rust-num/num-bigint/issues/36, which means suboptimal use doesn't hurt as much.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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