Searched refs:Clustering (Results 1 – 9 of 9) sorted by relevance
/netbsd-src/external/apache2/llvm/dist/llvm/tools/llvm-exegesis/lib/ |
H A D | Analysis.cpp | 155 const InstructionBenchmarkClustering &Clustering, in Analysis() argument 159 : Clustering_(Clustering), InstrInfo_(std::move(InstrInfo)), in Analysis() 163 if (Clustering.getPoints().empty()) in Analysis() 166 const InstructionBenchmark &FirstPoint = Clustering.getPoints().front(); in Analysis() 340 size_t PointId, const InstructionBenchmarkClustering &Clustering) { in addPoint() argument 342 const auto &Point = Clustering.getPoints()[PointId]; in addPoint() 344 ClusterId = Clustering.getClusterIdForPoint(PointId); in addPoint() 345 assert(ClusterId == Clustering.getClusterIdForPoint(PointId)); in addPoint() 352 const InstructionBenchmarkClustering &Clustering, in measurementsMatch() argument 354 assert(!Clustering.getPoints().empty()); in measurementsMatch() [all …]
|
H A D | Clustering.cpp | 321 InstructionBenchmarkClustering Clustering( in create() local 323 if (auto Error = Clustering.validateAndSetup()) { in create() 326 if (Clustering.ErrorCluster_.PointIndices.size() == Points.size()) { in create() 327 return Clustering; // Nothing to cluster. in create() 331 Clustering.clusterizeDbScan(DbscanMinPts); in create() 334 Clustering.stabilize(NumOpcodes.getValue()); in create() 339 Clustering.clusterizeNaive(NumOpcodes.getValue()); in create() 342 return Clustering; in create()
|
H A D | Analysis.h | 40 const InstructionBenchmarkClustering &Clustering, 65 const InstructionBenchmarkClustering &Clustering); 73 const InstructionBenchmarkClustering &Clustering,
|
H A D | CMakeLists.txt | 50 Clustering.cpp
|
/netbsd-src/external/apache2/llvm/dist/llvm/utils/gn/secondary/llvm/tools/llvm-exegesis/lib/ |
H A D | BUILD.gn | 22 "Clustering.cpp",
|
/netbsd-src/external/apache2/llvm/dist/llvm/tools/llvm-exegesis/ |
H A D | llvm-exegesis.cpp | 434 const auto Clustering = ExitOnErr(InstructionBenchmarkClustering::create( in analysisMain() local 438 const Analysis Analyzer(*TheTarget, std::move(InstrInfo), Clustering, in analysisMain()
|
/netbsd-src/external/historical/nawk/dist/testdir/ |
H A D | funstack.ok | 134 Code Eliminating Secondary Clustering 107--109 1800 Tree Clustering Method . . . . . . . . . 321--323 3579 Spanning Tree Clustering Method [Z]'' 110--111
|
H A D | funstack.in | 800 title = "The Quadratic Quotient Method: {A} Hash Code Eliminating Secondary Clustering", 13489 title = "{ACM} Algorithm 479: {A} Minimal Spanning Tree Clustering Method", 19831 …abstract = "Clustering in the key set is decreased by smoothing the key-to-address transformat… 26676 title = "Remark on {``Algorithm 479: A Minimal Spanning Tree Clustering Method [Z]''}", 27157 …cases, estimates are available to reach any desired level of accuracy. Clustering models in Euclid…
|
/netbsd-src/etc/ |
H A D | services | 14104 cp-cluster 8116/tcp # Check Point Clustering [Roni_Moshitzky] … 14105 cp-cluster 8116/udp # Check Point Clustering [Roni_Moshitzky] …
|