Crates.io | paradis |
lib.rs | paradis |
version | 0.2.1 |
source | src |
created_at | 2023-11-26 10:34:20.74564 |
updated_at | 2024-06-05 10:03:44.67703 |
description | Parallel processing with disjoint indices |
homepage | |
repository | https://github.com/Andlon/paradis |
max_upload_size | |
id | 1048961 |
size | 115,268 |
paradis
is currently at an early, experimental stage.
Test coverage is deliberately poor in order to make it easier to iterate on the
overall design. Community feedback is very welcome!
paradis
makes it easier to implement non-trivial parallel algorithms that require
access to a subset of indices into data structures that are structurally similar
to multidimensional arrays. It does so by providing abstractions at incrementally higher levels:
The low-level abstractions are provided by the very lightweight paradis-core
crate.
Library authors are encouraged to depend only on this crate in order to expose their
data structures for parallel access.
Please check out the documentation for more information
about how to use paradis
.
The examples given here are provided just to give you a taste of the API. Please check out the documentation for more context.
The following example shows how paradis
can be used to safely iterate
over mutable elements located at arbitrary indices in a slice, in parallel.
use paradis::index::{IndexList, narrow_access};
use paradis::rayon::create_par_iter;
use rayon::iter::ParallelIterator;
let mut data = vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9];
let indices = vec![4, 7, 1].check_unique().expect("Indices are unique");
let access = narrow_access(data.as_mut_slice(), &indices)
.expect("Indices are in bounds of the data structure");
create_par_iter(access).for_each(|x_i| *x_i = 0);
assert_eq!(data, vec![0, 0, 2, 3, 0, 5, 6, 0, 8, 9]);
For some problems, the indices are structured. In this case, we may be able to avoid runtime checks for uniqueness, and instead prove uniqueness by structured construction, using index combinators. The example below shows how structured uniqueness allows us to mutate the superdiagonal of a matrix.
use nalgebra::dmatrix;
use paradis::index::{IndexList, narrow_access};
use paradis::rayon::create_par_iter;
use rayon::iter::ParallelIterator;
// Access implementation omitted
use paradis_demo::DMatrixParAccessMut;
let mut matrix = dmatrix![1, 1, 1, 1, 1;
1, 1, 1, 1, 1;
1, 1, 1, 1, 1];
// Superdiagonal indices are [(0, 1), (1, 2), (2, 3)]
let superdiagonal_indices = (0 .. 3).index_zip(1 .. 4);
let access = DMatrixParAccessMut::from_matrix_mut(&mut matrix);
let superdiagonal_access = narrow_access(access, &superdiagonal_indices)
.expect("Indices are in bounds");
create_par_iter(superdiagonal_access).for_each(|x_ij| *x_ij = 0);
assert_eq!(matrix,
dmatrix![1, 0, 1, 1, 1;
1, 1, 0, 1, 1;
1, 1, 1, 0, 1]);
The higher-level features of paradis
are built on top of its low-level abstractions for parallel access.
The example below shows how we may use careful unsynchronized access to
mutate even and odd parts of a slice in different threads.
use paradis_core::{BoundedParAccess, IntoParAccess};
use std::thread::scope;
let mut data = vec![0; 100];
let n = data.len();
let access = data.into_par_access();
scope(|s| {
s.spawn(|| {
// The first thread touches elements at even indices
for i in (0 .. n).step_by(2) {
unsafe { *access.get_unsync(i) = 1; }
}
});
s.spawn(|| {
// The second thread touches elements at odd indices
for i in (1 .. n).step_by(2) {
unsafe { *access.get_unsync(i) = 2; }
}
});
})
paradis
is open source, and contribution is welcome. There are several ways you can contribute:
paradis
out for your application and reporting on
your experience in the forum.Keep in mind that paradis
is not developed professionally.
Although I, @Andlon, have every intention of following up on issues and PRs, life has a tendency
to get in the way at times, sometimes for extended periods of time.
paradis
is distributed under the terms of either the MIT license or the Apache License (Version 2.0), at your option.
See LICENSE-APACHE
and LICENSE-MIT
for details.
By contributing intellectual property to this repository, you agree to license your contribution under the same terms.