WebAssembly and embedded targets
Linear algebra can of course be dramatically useful for browser applications or embedded applications. For example, vector, matrix, and geometric operations are must-haves for any game running on the browser. Also, you may need matrix decompositions to perform machine-learning related data analysis on an embedded program. Luckily nalgebra supports both compiling for wasm and deactivating its link to the Rust standard library so that it becomes compilable for targets without libstd.
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For browser applicationsAll features of the nalgebra crate, including pure-rust implementations of matrix
decompositions, will work out-of-the-box when compiled for the wasm32-unknown-unknown
target. Recall that compiling to wasm
only amounts to setting-up the target and passing
the right parameters to cargo
:
On the other hand the nalgebra-lapack crate will not compile for wasm at all since it relies on binding to implementations of Blas and Lapack.
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For embedded developmentWhen developing applications targeting embedded platforms, the rust standard library
libstd
is not always available. In those situations you typically have to add the #![no-std]
attribute to your project to prevent it from linking to libstd
. Though this
will be useless if nalgebra itself links to the standard library! This section
explains how to compile nalgebra without needing libstd
, and how this affects
the features you can use.
Note that the nalgebra-lapack crate on the other hand does not support being compiled without the Rust standard library yet.
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Compiling without standard librarycaution
Compiling without the standard library is necessary only for embedded development. You do not need to disable libstd when compiling to wasm!
nalgebra supports the std
feature which is enabled by default. Disabling this
feature will prevent nalgebra itself from linking to libstd
. To achieve this
you have to compile with a nightly version of the Rust compiler and declare your nalgebra
dependency with default-features = false
, i.e., like the following:
This will affect what feature can be used. In particular:
- All vector and matrix operations on statically-sized matrices and statically-sized vectors will continue work out-of-the box. Of course, this includes all the matrix decompositions!
- Geometric operations will continue to work if the
libm
feature of nalgebra is enabled:
- Creating random matrices or vectors without an user-provided distribution will not be available. Therefore
the
::new_random()
constructor will not exist. You may still use::from_distribution(...)
instead. - Dynamically sized vectors
DVector
and dynamically sized matricesDMatrix
will not be available unless you activate thealloc
feature as well and provide an allocator for your platform. This will let nalgebra link to the alloc crate and use theVec
data structure internally. You may do the following to enable this feature: