With the power of rayon
and mpi
, internode and intranode parallelism is achieved for simple tasks.
See examples/simple.rs
.
Build the executable cargo build --release --example simple
. Then, run via mpirun -np 2 ./target/release/examples/simple
.
use std::sync::Arc;
use balancer::Balancer;
use mpi::environment::Universe;
fn main() {
let universe = Arc::new(mpi::initialize().unwrap());
experiment(universe.clone());
experiment(universe.clone());
}
fn experiment(universe: Arc<Universe>) {
// Get all data on all nodes
let data: Vec<f64> = (0..100_000).map(|x| x as f64 / 100_000.0).collect();
// Define task
let work = |x: &f64| x * x;
// Initialize balancer
let verbose = false;
let balancer = Balancer::new(universe, verbose);
// Work on our subset and collect result on root node
balancer.work_subset(&data, work);
let output = balancer.collect();
// That's it!
// Let's do some verification
if balancer.rank == 0 {
for (expected, actual) in data.iter().map(work).zip(output.as_ref().unwrap()) {
assert_eq!(expected, *actual);
}
}
}