Add HNSW ACE build method #1597
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- Added `cuvsHnswAceParams` structure for ACE configuration. - Implemented `cuvsHnswBuild` function to facilitate index construction using ACE. - Updated HNSW index parameters to include ACE settings. - Created new tests for HNSW index building and searching using ACE. - Updated documentation to reflect the new ACE parameters and usage.
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This PR adds a direct
hnsw::buildAPI that uses the ACE (Augmented Core Extraction) algorithm to build HNSW indexes on the GPU. ACE enables building HNSW indexes for datasets too large to fit in GPU memory by partitioning the data and building sub-indexes.CC @tfeher
C++ API
hnsw::build()function with ACE parameters for direct HNSW index construction. This serializes an HNSW index to disk ifuse_diskis true.hnsw::graph_build_params::ace_paramsstruct with configurable options:npartitions- number of partitions for parallel buildef_construction- index quality parameterbuild_dir- directory for disk-based build artifactsuse_disk- force disk-based storage modeann_hnsw_ace.cuhC API
cuvsHnswBuildfunction with ACE parametersann_hnsw_ace.cuPython
hnsw.AceParamsclass for configuring ACE buildstest_hnsw_ace.pyJava
HnswAceParamsclassHnswAceBuildAndSearchIT.javaDocumentation
cuvs_hnswsection to the parameter tuning guide with ACE parametersExample
hnsw_ace_example.cudemonstrating the build → deserialize → search workflow