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0.1.2 | Jul 4, 2024 |
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0.1.1 | Jul 4, 2024 |
0.1.0 | Jul 4, 2024 |
#214 in Science
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Parallel Topological Batch Runner
Topological batch runner is a tiny library that allows efficient parallel execution of topologically ordered operations. Simple topological ordering provides a linear list, which is not trivial to parallelize.
See the following example.
We have 3 operations, A, B and C, where B and C depends on A (meaning A needs to come first, then B or C in arbitrary order). A linear execution order would be A then B then C or A then C then B. However once A is computed, B and C can be executed parallel. This is what this library is for.
A more practical example:
/// The structure responsible running the dependent operations. Must be Send and Sync.
struct ExecutorExample {
/// Inner data.
}
/// The implementation of the execution. ID represents the link to the topological structure.
impl CallableByID<usize> for ExecutorExample {
fn call(&self, id: usize) {
/// Code to execute parallel - for an ID that came after all of its dependencies.
}
}
/// Next setup the dependency graph:
let mut dependency_graph: HashMap<usize, Vec<usize>> = HashMap::new();
dependency_graph.insert(0, vec![4, 2, 5]);
/// ...
/// Initialize executor and run:
let topological_batch_provider = TopologicalBatchProvider::new(dependency_graph.clone())?;
let runner = ThreadPoolRunner::new(8);
let executor = Arc::new(ExecutorExample {});
runner.run(topological_batch_provider, executor);
The topological ordering is defined with IDs, that act as a pointer to computation units. An ID should be
as light as possible (eg usize
) to be efficiently worked with.