Dontopedia

Thread Pool Strategy

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Thread Pool Strategy is manages the number of active threads more efficiently.

5 facts·5 predicates·1 sources

Mostly:rdf:type(1), description(1), benefit(1)

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Other facts (5)

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5 facts
PredicateValueRef
Rdf:typeOptimization Strategy[1]
Descriptionmanages the number of active threads more efficiently[1]
Benefitavoids overhead of creating and destroying threads frequently[1]
Recommended byAssistant Turn 4491[1]
Opposesfrequent-thread-creation[1]

Timeline

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typebeam/7ad1d9a0-349d-4905-a539-7cf06329fbd1
ex:OptimizationStrategy
descriptionbeam/7ad1d9a0-349d-4905-a539-7cf06329fbd1
manages the number of active threads more efficiently
benefitbeam/7ad1d9a0-349d-4905-a539-7cf06329fbd1
avoids overhead of creating and destroying threads frequently
recommendedBybeam/7ad1d9a0-349d-4905-a539-7cf06329fbd1
ex:assistant-turn-4491
opposesbeam/7ad1d9a0-349d-4905-a539-7cf06329fbd1
frequent-thread-creation

References (1)

1 references
  1. ctx:claims/beam/7ad1d9a0-349d-4905-a539-7cf06329fbd1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7ad1d9a0-349d-4905-a539-7cf06329fbd1
      Show excerpt
      for i in range(0, len(documents), chunk_size): chunk = documents[i:i + chunk_size] thread = threading.Thread(target=worker, args=(chunk,)) threads.append(thread) thread.start() for thread in threads:

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