[llvm] r349136 - [llvm-exegesis] Optimize ToProcess in dbScan
Roman Lebedev via llvm-commits
llvm-commits at lists.llvm.org
Fri Dec 14 00:57:35 PST 2018
I'm sorry, was the LGTM given off-line?
I don't think this got reviewed otherwise.
Both my's and courbet's feedback was that it is kinda ugly without abstractions,
and i also additionally did not like that it does contain more separate changes.
Roman.
On Fri, Dec 14, 2018 at 11:30 AM Fangrui Song via llvm-commits
<llvm-commits at lists.llvm.org> wrote:
>
> Author: maskray
> Date: Fri Dec 14 00:27:35 2018
> New Revision: 349136
>
> URL: http://llvm.org/viewvc/llvm-project?rev=349136&view=rev
> Log:
> [llvm-exegesis] Optimize ToProcess in dbScan
>
> Summary:
> Use `vector<char> Added + vector<size_t> ToProcess` to replace `SetVector ToProcess`
>
> We also check `Added[P]` to enqueueing a point more than once, which
> also saves us a `ClusterIdForPoint_[Q].isUndef()` check.
>
> Reviewers: courbet, RKSimon, gchatelet, john.brawn, lebedev.ri
>
> Subscribers: tschuett, llvm-commits
>
> Differential Revision: https://reviews.llvm.org/D54442
>
> Modified:
> llvm/trunk/tools/llvm-exegesis/lib/Clustering.cpp
>
> Modified: llvm/trunk/tools/llvm-exegesis/lib/Clustering.cpp
> URL: http://llvm.org/viewvc/llvm-project/llvm/trunk/tools/llvm-exegesis/lib/Clustering.cpp?rev=349136&r1=349135&r2=349136&view=diff
> ==============================================================================
> --- llvm/trunk/tools/llvm-exegesis/lib/Clustering.cpp (original)
> +++ llvm/trunk/tools/llvm-exegesis/lib/Clustering.cpp Fri Dec 14 00:27:35 2018
> @@ -8,7 +8,6 @@
> //===----------------------------------------------------------------------===//
>
> #include "Clustering.h"
> -#include "llvm/ADT/SetVector.h"
> #include "llvm/ADT/SmallVector.h"
> #include <string>
>
> @@ -92,8 +91,14 @@ llvm::Error InstructionBenchmarkClusteri
> }
>
> void InstructionBenchmarkClustering::dbScan(const size_t MinPts) {
> - std::vector<size_t> Neighbors; // Persistent buffer to avoid allocs.
> - for (size_t P = 0, NumPoints = Points_.size(); P < NumPoints; ++P) {
> + const size_t NumPoints = Points_.size();
> +
> + // Persistent buffers to avoid allocs.
> + std::vector<size_t> Neighbors;
> + std::vector<size_t> ToProcess(NumPoints);
> + std::vector<char> Added(NumPoints);
> +
> + for (size_t P = 0; P < NumPoints; ++P) {
> if (!ClusterIdForPoint_[P].isUndef())
> continue; // Previously processed in inner loop.
> rangeQuery(P, Neighbors);
> @@ -109,14 +114,18 @@ void InstructionBenchmarkClustering::dbS
> Cluster &CurrentCluster = Clusters_.back();
> ClusterIdForPoint_[P] = CurrentCluster.Id; /* Label initial point */
> CurrentCluster.PointIndices.push_back(P);
> + Added[P] = 1;
>
> // Process P's neighbors.
> - llvm::SetVector<size_t, std::deque<size_t>> ToProcess;
> - ToProcess.insert(Neighbors.begin(), Neighbors.end());
> - while (!ToProcess.empty()) {
> + size_t Tail = 0;
> + for (size_t Q : Neighbors)
> + if (!Added[Q]) {
> + ToProcess[Tail++] = P;
> + Added[Q] = 1;
> + }
> + for (size_t Head = 0; Head < Tail; ++Head) {
> // Retrieve a point from the set.
> - const size_t Q = *ToProcess.begin();
> - ToProcess.erase(ToProcess.begin());
> + size_t Q = ToProcess[Head];
>
> if (ClusterIdForPoint_[Q].isNoise()) {
> // Change noise point to border point.
> @@ -124,17 +133,18 @@ void InstructionBenchmarkClustering::dbS
> CurrentCluster.PointIndices.push_back(Q);
> continue;
> }
> - if (!ClusterIdForPoint_[Q].isUndef()) {
> - continue; // Previously processed.
> - }
> + assert(ClusterIdForPoint_[Q].isUndef());
> // Add Q to the current custer.
> ClusterIdForPoint_[Q] = CurrentCluster.Id;
> CurrentCluster.PointIndices.push_back(Q);
> // And extend to the neighbors of Q if the region is dense enough.
> rangeQuery(Q, Neighbors);
> - if (Neighbors.size() + 1 >= MinPts) {
> - ToProcess.insert(Neighbors.begin(), Neighbors.end());
> - }
> + if (Neighbors.size() + 1 >= MinPts)
> + for (size_t P : Neighbors)
> + if (!Added[P]) {
> + ToProcess[Tail++] = P;
> + Added[P] = 1;
> + }
> }
> }
> // assert(Neighbors.capacity() == (Points_.size() - 1));
>
>
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