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LLP: mmap labels instead of loading them in memory #117

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Dec 16, 2024
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LLP: mmap labels instead of loading them in memory #117

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7 changes: 4 additions & 3 deletions src/algo/llp/mod.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -363,16 +363,17 @@ pub fn layered_label_propagation<R: RandomAccessGraph + Sync>(
.context("Could not load labels from best gammar")?
.to_vec();

let mmap_flags = Flags::TRANSPARENT_HUGE_PAGES | Flags::RANDOM_ACCESS;
for (i, gamma_index) in gamma_indices.iter().enumerate() {
info!("Starting step {}...", i);
let labels =
<Vec<usize>>::load_mem(labels_path(*gamma_index)).context("Could not load labels")?;
let labels = <Vec<usize>>::load_mmap(labels_path(*gamma_index), mmap_flags)
.context("Could not load labels")?;
combine(&mut result_labels, *labels, &mut temp_perm).context("Could not combine labels")?;
// This recombination with the best labels does not appear in the paper, but
// it is not harmful and fixes a few corner cases in which experimentally
// LLP does not perform well. It was introduced by Marco Rosa in the Java
// LAW code.
let best_labels = <Vec<usize>>::load_mem(labels_path(best_gamma_index))
let best_labels = <Vec<usize>>::load_mmap(labels_path(best_gamma_index), mmap_flags)
.context("Could not load labels from best gamma")?;
let number_of_labels = combine(&mut result_labels, *best_labels, &mut temp_perm)?;
info!("Number of labels: {}", number_of_labels);
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