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#67 in Geospatial
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rust 2021 edition.
Given a set of objects in spherical coordinates, it computes their Delaunay triangulation and its dual, the Voronoi diagram.
It is part of a collection of d3 modules ported to rust.
As a example the library can be used to compute the following delaunay mesh.
( computed from 6,000 points on a sphere selected at random )
Currently we have 84% test coverage ( as reported by cargo tarpaulin -o Html )
- rust - rust_d3_geo_voronoi/benchmark.
Measuring the performance of a library is complicated, as different applications employing the library may see different results. Desktop and mobile performance may differ.
There are traditionally two way of measuring increases in performance :-
A) Speed: By asking how long it takes to perform a certain computation?
B) Throughput: By asking how much more work can I perform in a given time?
Here are the results for the benchmark :-
B) When I increase the number of points given to the RUST version to render, I find I can render 1220 in 16ms. An increase of just under 2.
I am currently looking to add more benchmarks, a diverse collection of example application code, will give greater confidence in what to expect.
This workspace contain a binary "profile_target" which outputs the result of a computation similar to that of the demo_page. Before API finalization - I am currently using cargo flame-graph to identify any obvious optimizations.
cargo install flamegraph
cargo flamegraph -- profile_target
Considering migration 0.9.0 to 0.10.0. Many of the non idomatic "new" methods have been replaced with a TryFrom implementation. For more details see the CHANGELOG.md
Currently the demo works only then f64 is used as the floating point type. [For f32 the cell integrity is broken as some of the cell appear to take-up the whole sphere.] To be ported:-
contour.js and geo-contour-test.js
Currently there is a failing test suite geo_voronoi_test.rs "geoVoronoi.hull does not break on difficult polygons"
Instructions for building the benchmark
The application displays a delaunay mesh of a large number of cells onto a sphere.
To build and start the web server:-
npm run start
The last command automatically starts your web browser.
For benchmarking, to obtain best performance
npm run build
npm run serve