namespace xf::graph::L3

louvainModularity

#include "xf_graph_L3.hpp"

void louvainModularity (
    std::shared_ptr <xf::graph::L3::Handle> handle,
    int flowMode,
    GLV* glv,
    GLV* pglv,
    LouvainPara* para_lv
    )

louvain algorithm is implemented.

Parameters:

handle	Graph library L3 handle
flowMode	flowMode of multi louvain kernel. LOUVAINMOD_PRUNING_KERNEL = 1 is a 1cu kernel design fit for u50 LOUVAINMOD_2CU_U55C_KERNEL = 2 a 2cu kernel design fit for u55c the performance of one compute unit by different board is the same
glv	the original graph info before partition.
pglv	one of the partitioned sub-graph info to input to kernel.
para_lv	parameters of louvain kernel

twoHop

#include "xf_graph_L3.hpp"

event <int> twoHop (
    xf::graph::L3::Handle& handle,
    uint32_t* numPart,
    uint64_t** pairPart,
    uint32_t** resPart,
    xf::graph::Graph <uint32_t, float> g
    )

twoHop algorithm is implemented.

Parameters:

handle	Graph library L3 handle
numPart	Number of pairs of each part to be counted.
pairPart	Source and destination pairs of each part to be counted.
resPart	result of each part. The order matches the order of the input pairPart.
g	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float

pageRankWeight

#include "xf_graph_L3.hpp"

event <int> pageRankWeight (
    xf::graph::L3::Handle& handle,
    float alpha,
    float tolerance,
    int maxIter,
    xf::graph::Graph <uint32_t, float> gr,
    float* pagerank
    )

pageRank algorithm is implemented.

Parameters:

handle	Graph library L3 handle
alpha	Damping factor, normally 0.85
tolerance	Converge tolerance
maxIter	Max iteration
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
pagerank	Output, float type rank values of each vertex

shortestPath

#include "xf_graph_L3.hpp"

event <int> shortestPath (
    xf::graph::L3::Handle& handle,
    uint32_t nSource,
    uint32_t* sourceID,
    bool weighted,
    xf::graph::Graph <uint32_t, float> gr,
    float** result,
    uint32_t** predecent
    )

The single source shortest path algorithm is implemented, the input is the matrix in CSR format.

Parameters:

handle	Graph library L3 handle
nSource	Number of source vertices
sourceID	IDs of giving source vertices
weighted	Bool type flag, when weighted is flag 0, all weights are treated as 1, and when weighted flag is 1, the weights in the gr will be used
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
result	The distance result from giving source vertices for each vertex
predecent	The result of parent index of each vertex from giving source vertices for each vertex

cosineSimilaritySSSparse

#include "xf_graph_L3.hpp"

event <int> cosineSimilaritySSSparse (
    xf::graph::L3::Handle& handle,
    uint32_t sourceNUM,
    uint32_t* sourceIndices,
    uint32_t* sourceWeights,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    uint32_t* resultID,
    float* similarity
    )

The single source cosine similarity API for sparse graph.

Parameters:

handle	Graph library L3 handle
sourceNUM	Input, sourceIndices buffer length of source vertex
sourceIndices	Input, source vertex’s out members
sourceWeights	Input, weights of the source vertex’s out members
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
resultID	Output, the topK highest similarity IDs
similarity	Output, similarity values corresponding to theirs IDs

jaccardSimilaritySSSparse

#include "xf_graph_L3.hpp"

event <int> jaccardSimilaritySSSparse (
    xf::graph::L3::Handle& handle,
    uint32_t sourceNUM,
    uint32_t* sourceIndices,
    uint32_t* sourceWeights,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    uint32_t* resultID,
    float* similarity
    )

The single source jaccard similarity API for sparse graph.

Parameters:

handle	Graph library L3 handle
sourceNUM	Input, sourceIndices buffer length of source vertex
sourceIndices	Input, source vertex’s out members
sourceWeights	Input, weights of the source vertex’s out members
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
resultID	Output, the topK highest similarity IDs
similarity	Output, similarity values corresponding to theirs IDs

cosineSimilarityAPSparse

#include "xf_graph_L3.hpp"

event <int> cosineSimilarityAPSparse (
    xf::graph::L3::Handle& handle,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    uint32_t** resultID,
    float** similarity
    )

The all-pairs cosine similarity API for sparse graph.

Parameters:

handle	Graph library L3 handle
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
resultID	Output, the topK highest similarity IDs of all vertices in the sparse graph
similarity	Output, similarity values of all vertices in the sparse graph

jaccardSimilarityAPSparse

#include "xf_graph_L3.hpp"

event <int> jaccardSimilarityAPSparse (
    xf::graph::L3::Handle& handle,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    uint32_t** resultID,
    float** similarity
    )

The all-pairs jaccard similarity API for sparse graph.

Parameters:

handle	Graph library L3 handle
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
resultID	Output, the topK highest similarity IDs of all vertices in the sparse graph
similarity	Output, similarity values of all vertices in the sparse graph

cosineSimilaritySSDense

#include "xf_graph_L3.hpp"

event <int> cosineSimilaritySSDense (
    xf::graph::L3::Handle& handle,
    uint32_t sourceNUM,
    uint32_t* sourceWeights,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    uint32_t* resultID,
    float* similarity
    )

The single source cosine similarity API for dense graph.

Parameters:

handle	Graph library L3 handle
sourceNUM	Input, sourceWeights buffer length of source vertex
sourceWeights	Input, weights of the source vertex’s out members
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
resultID	Output, the topK highest similarity IDs
similarity	Output, similarity values corresponding to theirs IDs

cosineSimilaritySSDenseMultiCardBlocking

#include "xf_graph_L3.hpp"

int cosineSimilaritySSDenseMultiCardBlocking (
    xf::graph::L3::Handle& handle,
    int32_t deviceNm,
    int32_t sourceNUM,
    int32_t* sourceWeights,
    int32_t topK,
    xf::graph::Graph <int32_t, int32_t>** gr,
    int32_t* resultID,
    float* similarity
    )

The Multi-cards’ single source cosine similarity API for dense graph.

Parameters:

handle	Graph library L3 handle
deviceNm	FPGA card ID
sourceNUM	Input, sourceWeights buffer length of source vertex
sourceWeights	Input, weights of the source vertex’s out members
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of int32_t and weights’ type of int32_t
resultID	Output, the topK highest similarity IDs
similarity	Output, similarity values corresponding to theirs IDs

cosineSimilaritySSDenseMultiCard

#include "xf_graph_L3.hpp"

std::vector <event <int>> cosineSimilaritySSDenseMultiCard (
    xf::graph::L3::Handle& handle,
    int32_t deviceNm,
    int32_t sourceNUM,
    int32_t* sourceWeights,
    int32_t topK,
    xf::graph::Graph <int32_t, int32_t>** g,
    int32_t** resultID,
    float** similarity
    )

The Non-blocking Multi-cards’ single source cosine similarity API for dense graph.

Parameters:

handle	Graph library L3 handle
deviceNm	FPGA card ID
sourceNUM	Input, sourceWeights buffer length of source vertex
sourceWeights	Input, weights of the source vertex’s out members
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of int32_t and weights’ type of int32_t
resultID	Output, the topK highest similarity IDs
similarity	Output, similarity values corresponding to theirs IDs

jaccardSimilaritySSDense

#include "xf_graph_L3.hpp"

event <int> jaccardSimilaritySSDense (
    xf::graph::L3::Handle& handle,
    uint32_t sourceNUM,
    uint32_t* sourceWeights,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    uint32_t* resultID,
    float* similarity
    )

The single source jaccard similarity API for dense graph.

Parameters:

handle	Graph library L3 handle
sourceNUM	Input, sourceWeights buffer length of source vertex
sourceWeights	Input, weights of the source vertex’s out members
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
resultID	Output, the topK highest similarity IDs
similarity	Output, similarity values corresponding to theirs IDs

cosineSimilarityAPDense

#include "xf_graph_L3.hpp"

event <int> cosineSimilarityAPDense (
    xf::graph::L3::Handle& handle,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    uint32_t** resultID,
    float** similarity
    )

The all-pairs cosine similarity API for dense graph.

Parameters:

handle	Graph library L3 handle
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
resultID	Output, the topK highest similarity IDs of all vertices in the sparse graph
similarity	Output, similarity values of all vertices in the sparse graph

jaccardSimilarityAPDense

#include "xf_graph_L3.hpp"

event <int> jaccardSimilarityAPDense (
    xf::graph::L3::Handle& handle,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    uint32_t** resultID,
    float** similarity
    )

The all-pairs jaccard similarity API for dense graph.

Parameters:

handle	Graph library L3 handle
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
resultID	Output, the topK highest similarity IDs of all vertices in the sparse graph
similarity	Output, similarity values of all vertices in the sparse graph

knnSimilaritySSSparse

#include "xf_graph_L3.hpp"

event <int> knnSimilaritySSSparse (
    xf::graph::L3::Handle& handle,
    uint32_t sourceNUM,
    uint32_t* sourceIndices,
    uint32_t* sourceWeights,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    std::string* knownLabels,
    std::string& label
    )

The single source k-nearest neighbors API for sparse graph. knnSimilarity API is based on the cosine similarity algorithm.

Parameters:

handle	Graph library L3 handle
sourceNUM	Input, sourceIndices buffer length of source vertex
sourceIndices	Input, source vertex’s out members
sourceWeights	Input, weights of the source vertex’s out members
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
knownLabels	Input, labels of each vertex in the sparse graph
label	Output, the predicted most similar label

knnSimilarinyAPSparse

#include "xf_graph_L3.hpp"

event <int> knnSimilarinyAPSparse (
    xf::graph::L3::Handle& handle,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    std::string* knownLabels,
    std::string* label
    )

The all-pairs k-nearest neighbors API for sparse graph. knnSimilarity API is based on the cosine similarity algorithm.

Parameters:

handle	Graph library L3 handle
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
knownLabels	Input, labels of each vertex in the sparse graph
label	Output, the predicted most similar labels of all vertices in the sparse graph

knnSimilaritySSDense

#include "xf_graph_L3.hpp"

event <int> knnSimilaritySSDense (
    xf::graph::L3::Handle& handle,
    uint32_t sourceNUM,
    uint32_t* sourceWeights,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    std::string* knownLabels,
    std::string& label
    )

The single source k-nearest neighbors API for dense graph. knnSimilarity API is based on the cosine similarity algorithm.

Parameters:

handle	Graph library L3 handle
sourceNUM	Input, sourceIndices buffer length of source vertex
sourceWeights	Input, weights of the source vertex’s out members
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
knownLabels	Input, labels of each vertex in the dense graph
label	Output, the predicted most similar label

knnSimilarityAPDense

#include "xf_graph_L3.hpp"

event <int> knnSimilarityAPDense (
    xf::graph::L3::Handle& handle,
    uint32_t topK,
    xf::graph::Graph <uint32_t, float> gr,
    std::string* knownLabels,
    std::string* label
    )

The all-pairs k-nearest neighbors API for dense graph. knnSimilarity API is based on the cosine similarity algorithm.

Parameters:

handle	Graph library L3 handle
topK	Input, the output similarity buffer length
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of float
knownLabels	Input, labels of each vertex in the dense graph
label	Output, the predicted most similar labels of all vertices in the dense graph

triangleCount

#include "xf_graph_L3.hpp"

event <int> triangleCount (
    xf::graph::L3::Handle& handle,
    xf::graph::Graph <uint32_t, uint32_t> gr,
    uint64_t& nTriangle
    )

triangleCount the triangle counting algorithm is implemented, the input is the matrix in CSC format.

Parameters:

handle	Graph library L3 handle
gr	Input, CSR/CSC graph of IDs’ type of uint32_t and weights’ type of uint32_t
nTriangle	Return triangles number

labelPropagation

#include "xf_graph_L3.hpp"

event <int> labelPropagation (
    xf::graph::L3::Handle& handle,
    uint32_t maxIter,
    xf::graph::Graph <uint32_t, uint32_t> gr,
    uint32_t* labels
    )

labelPropagation the label propagation algorithm is implemented

Parameters:

handle	Graph library L3 handle
maxIter	Max iteration
gr	Input, CSR/CSC graph of IDs’ type of uint32_t and weights’ type of uint32_t
labels	Output labels

bfs

#include "xf_graph_L3.hpp"

event <int> bfs (
    xf::graph::L3::Handle& handle,
    uint32_t sourceID,
    xf::graph::Graph <uint32_t, uint32_t> gr,
    uint32_t* predecent,
    uint32_t* distance
    )

bfs Implements the directed graph traversal by breath-first search algorithm

Parameters:

handle	Graph library L3 handle
sourceID	The source vertex ID in this search, starting from 0
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of uint32_t
predecent	The result of parent index of each vertex
distance	The distance result from giving source vertex for each vertex

wcc

#include "xf_graph_L3.hpp"

event <int> wcc (
    xf::graph::L3::Handle& handle,
    xf::graph::Graph <uint32_t, uint32_t> gr,
    uint32_t* result
    )

connectedComponents Computes the connected component membership of each vertex only for undirected graph

Parameters:

handle	Graph library L3 handle
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of uint32_t
result	Ouput, result buffer with the vertex label containing the lowest vertex id in the strongly connnected component containing that vertex

scc

#include "xf_graph_L3.hpp"

event <int> scc (
    xf::graph::L3::Handle& handle,
    xf::graph::Graph <uint32_t, uint32_t> gr,
    uint32_t* result
    )

stronglyConnectedComponents Computes the strongly connected component membership of each vertex only for directed graph, and label each vertex with one value containing the lowest vertex id in the SCC containing that vertex.

Parameters:

handle	Graph library L3 handle
gr	Input, CSR graph of IDs’ type of uint32_t and weights’ type of uint32_t
result	Ouput, result buffer with the vertex label containing the lowest vertex id in the strongly connnected component containing that vertex

convertCsrCsc

#include "xf_graph_L3.hpp"

event <int> convertCsrCsc (
    xf::graph::L3::Handle& handle,
    xf::graph::Graph <uint32_t, uint32_t> gr1,
    xf::graph::Graph <uint32_t, uint32_t> gr2
    )

Convert from CSR to CSC, now it supports only CSR to CSC of unweighted graph.

Parameters:

handle	Graph library L3 handle
gr1	Input, CSR/CSC graph of IDs’ type of uint32_t and weights’ type of uint32_t
gr2	Output, CSC/CSR graph of IDs’ type of uint32_t and weights’ type of uint32_t