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clusterlin: replace cluster linearization with SFL (feature)

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This replaces the existing LIMO linearization algorithm (which internally uses
ancestor set finding and candidate set finding) with the much more performant
spanning-forest linearization algorithm.

This removes the old candidate-set search algorithm, and several of its tests,
benchmarks, and needed utility code.

The worst case time per cost is similar to the previous algorithm, so
ACCEPTABLE_ITERS is unchanged.
This commit is contained in:
Pieter Wuille
2025-10-23 19:15:21 -04:00
parent 6a8fa821b8
commit 3efc94d656
7 changed files with 81 additions and 994 deletions
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6
src/txgraph.cpp
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@@ -2091,9 +2091,9 @@ std::pair<uint64_t, bool> GenericClusterImpl::Relinearize(TxGraphImpl& graph, in
// Invoke the actual linearization algorithm (passing in the existing one).
uint64_t rng_seed = graph.m_rng.rand64();
auto [linearization, optimal, cost] = Linearize(m_depgraph, max_iters, rng_seed, m_linearization);
// Postlinearize if the result isn't optimal already. This guarantees (among other things)
// that the chunks of the resulting linearization are all connected.
if (!optimal) PostLinearize(m_depgraph, linearization);
// Postlinearize to guarantee that the chunks of the resulting linearization are all connected.
// (SFL currently does not guarantee connected chunks even when optimal).
PostLinearize(m_depgraph, linearization);
// Update the linearization.
m_linearization = std::move(linearization);
// Update the Cluster's quality.