Dontopedia

omp_set_num_threads

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

omp_set_num_threads has 38 facts recorded in Dontopedia across 9 references, with 5 live disagreements.

38 facts·12 predicates·9 sources·5 in dispute

Mostly:rdf:type(9), purpose(6), enables(4)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (6)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

enabledByEnabled by(2)

callsFunctionCalls Function(1)

describesDescribes(1)

enabled-byEnabled by(1)

mentionsFunctionMentions Function(1)

Other facts (31)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

31 facts
PredicateValueRef
Rdf:typeConfiguration Function[1]
Rdf:typeFunction[2]
Rdf:typeFunction[3]
Rdf:typeFunction[4]
Rdf:typeFunction[5]
Rdf:typeFunction[6]
Rdf:typeFunction Call[7]
Rdf:typeFunction[8]
Rdf:typeFunction[9]
PurposeEnable Multi Threading[1]
PurposeUtilize Multiple Cores[1]
Purposeset-number-of-threads-for-parallel-processing[2]
Purposeenables multi-threading[7]
Purposetake advantage of multiple CPU cores[7]
PurposeMulti Threading Enablement[9]
EnablesMulti Threading[4]
EnablesMulti Threading[5]
EnablesMulti Threading[8]
EnablesMulti Threading[9]
Has ParameterThread Count 8[4]
Has Parameter8[8]
Has ParameterNumber of Threads[9]
Belongs to ListMulti Threading[7]
Belongs to ListFaiss Namespace[7]
Requires ConfigurationSystem Capabilities[1]
Configuration BasisSystem Capabilities[1]
Sets ParameterThread Count[3]
Called With8[5]
Has Argument8[7]
Invokes8[8]
Has Default Value8[9]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/7e608fd0-ac0d-449c-ba3d-d913de17732d
ex:ConfigurationFunction
purposebeam/7e608fd0-ac0d-449c-ba3d-d913de17732d
ex:enable-multi-threading
purposebeam/7e608fd0-ac0d-449c-ba3d-d913de17732d
ex:utilize-multiple-cores
requiresConfigurationbeam/7e608fd0-ac0d-449c-ba3d-d913de17732d
ex:system-capabilities
configurationBasisbeam/7e608fd0-ac0d-449c-ba3d-d913de17732d
ex:system-capabilities
typebeam/49101dfd-4fc4-460c-9cd9-8e0457730c83
ex:Function
labelbeam/49101dfd-4fc4-460c-9cd9-8e0457730c83
faiss.omp_set_num_threads
purposebeam/49101dfd-4fc4-460c-9cd9-8e0457730c83
set-number-of-threads-for-parallel-processing
typebeam/9aef4a43-c110-4730-bed6-18e6312b77ad
ex:Function
labelbeam/9aef4a43-c110-4730-bed6-18e6312b77ad
faiss.omp_set_num_threads
sets-parameterbeam/9aef4a43-c110-4730-bed6-18e6312b77ad
ex:thread-count
typebeam/deee8e59-885e-45e2-98e2-b079298375cc
ex:Function
enablesbeam/deee8e59-885e-45e2-98e2-b079298375cc
ex:multi-threading
labelbeam/deee8e59-885e-45e2-98e2-b079298375cc
faiss.omp_set_num_threads
hasParameterbeam/deee8e59-885e-45e2-98e2-b079298375cc
ex:thread-count-8
calledWithbeam/f71bbefb-0e91-4dbb-b658-7d7201b83918
8
enablesbeam/f71bbefb-0e91-4dbb-b658-7d7201b83918
ex:multi-threading
typebeam/f71bbefb-0e91-4dbb-b658-7d7201b83918
ex:Function
labelbeam/f71bbefb-0e91-4dbb-b658-7d7201b83918
omp_set_num_threads
typebeam/bd97afa1-16ea-42af-99e4-d1e90ad821ac
ex:Function
typebeam/6496cb96-ccfe-4ec6-a519-16a7270f4904
ex:FunctionCall
labelbeam/6496cb96-ccfe-4ec6-a519-16a7270f4904
faiss.omp_set_num_threads
hasArgumentbeam/6496cb96-ccfe-4ec6-a519-16a7270f4904
8
purposebeam/6496cb96-ccfe-4ec6-a519-16a7270f4904
enables multi-threading
purposebeam/6496cb96-ccfe-4ec6-a519-16a7270f4904
take advantage of multiple CPU cores
belongsToListbeam/6496cb96-ccfe-4ec6-a519-16a7270f4904
ex:multi-threading
belongsToListbeam/6496cb96-ccfe-4ec6-a519-16a7270f4904
ex:faiss-namespace
typebeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:Function
labelbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
faiss.omp_set_num_threads
hasParameterbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
8
enablesbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:multi-threading
invokesbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
8
typebeam/411a1538-884c-4c53-bd88-0a36a9406f98
ex:Function
labelbeam/411a1538-884c-4c53-bd88-0a36a9406f98
faiss.omp_set_num_threads
hasParameterbeam/411a1538-884c-4c53-bd88-0a36a9406f98
ex:number-of-threads
purposebeam/411a1538-884c-4c53-bd88-0a36a9406f98
ex:multi-threading-enablement
enablesbeam/411a1538-884c-4c53-bd88-0a36a9406f98
ex:multi-threading
hasDefaultValuebeam/411a1538-884c-4c53-bd88-0a36a9406f98
8

References (9)

9 references
  1. ctx:claims/beam/7e608fd0-ac0d-449c-ba3d-d913de17732d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7e608fd0-ac0d-449c-ba3d-d913de17732d
      Show excerpt
      [Turn 4759] Assistant: Great! It sounds like you're ready to proceed with the `IndexIVFFlat` approach and fine-tune the parameters. Here are some additional tips and suggestions to help you optimize the search time: ### 1. Fine-Tuning `nli
  2. ctx:claims/beam/49101dfd-4fc4-460c-9cd9-8e0457730c83
    • full textbeam-chunk
      text/plain1 KBdoc:beam/49101dfd-4fc4-460c-9cd9-8e0457730c83
      Show excerpt
      - Adjust the search parameters like `efSearch` for `IndexHNSW` to balance between speed and accuracy. ### Example Implementation Here's an optimized version of your code using `IndexIVFPQ` and enabling multi-threading: ```python impor
  3. ctx:claims/beam/9aef4a43-c110-4730-bed6-18e6312b77ad
  4. ctx:claims/beam/deee8e59-885e-45e2-98e2-b079298375cc
    • full textbeam-chunk
      text/plain1 KBdoc:beam/deee8e59-885e-45e2-98e2-b079298375cc
      Show excerpt
      - `IndexIVFPQ` is used instead of `IndexIVFFlat` to provide faster approximate nearest neighbor search. 2. **Tuning Parameters**: - `nlist`: Number of clusters. A higher value can improve accuracy but also increases memory usage.
  5. ctx:claims/beam/f71bbefb-0e91-4dbb-b658-7d7201b83918
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f71bbefb-0e91-4dbb-b658-7d7201b83918
      Show excerpt
      - `faiss.omp_set_num_threads(8)` enables multi-threading to take advantage of multiple CPU cores. Adjust the number of threads based on your CPU capabilities. 4. **Training the Index**: - The index needs to be trained on the data bef
  6. ctx:claims/beam/bd97afa1-16ea-42af-99e4-d1e90ad821ac
    • full textbeam-chunk
      text/plain1 KBdoc:beam/bd97afa1-16ea-42af-99e4-d1e90ad821ac
      Show excerpt
      - **Use Approximate Methods**: Use `IndexIVFPQ` or `IndexHNSW` to find a balance between speed and accuracy. ### Example Implementation Here's an optimized version of your code that addresses these potential roadblocks: ```python import
  7. ctx:claims/beam/6496cb96-ccfe-4ec6-a519-16a7270f4904
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6496cb96-ccfe-4ec6-a519-16a7270f4904
      Show excerpt
      - `nlist`: Number of clusters. A higher value can improve accuracy but also increases memory usage. - `M`: Number of sub-quantizers. A higher value can improve accuracy but also increases memory usage. - `nbits`: Number of bits per
  8. ctx:claims/beam/3c7c96d1-549b-4085-8bd9-152174bddc1f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3c7c96d1-549b-4085-8bd9-152174bddc1f
      Show excerpt
      - `efConstruction`: Construction parameter. - `efSearch`: Search parameter. 3. **Multi-threading**: - `faiss.omp_set_num_threads(8)` enables multi-threading to take advantage of multiple CPU cores. 4. **Adding Vectors**: - Vec
  9. ctx:claims/beam/411a1538-884c-4c53-bd88-0a36a9406f98
    • full textbeam-chunk
      text/plain1 KBdoc:beam/411a1538-884c-4c53-bd88-0a36a9406f98
      Show excerpt
      - `faiss.omp_set_num_threads(8)` enables multi-threading to take advantage of multiple CPU cores. Adjust the number of threads based on your CPU capabilities. 4. **Training the Index**: - The index needs to be trained on the data bef

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