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Exploiting Performance Portability in Search Algorithms for Autotuning

Research article (2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016) · cited 16× · AI/ML
academia openalex:W2480834041
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Exploiting Performance Portability in Search Algorithms for Autotuning

Summary

Exploiting Performance Portability in Search Algorithms for Autotuning is a scholarly article[1].

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  • Exploiting Performance Portability in Search Algorithms for Autotuning's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Exploiting Performance Portability in Search Algorithms for Autotuning. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploiting-performance-portability-in-search-algorithms-for-autotuning
MLA “Exploiting Performance Portability in Search Algorithms for Autotuning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploiting-performance-portability-in-search-algorithms-for-autotuning.
BibTeX @misc{4ortxyz_exploiting-performance-portability-in-search-algorithms-for-autotuning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting Performance Portability in Search Algorithms for Autotuning}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-performance-portability-in-search-algorithms-for-autotuning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploiting Performance Portability in Search Algorithms for Autotuning — https://4ort.xyz/entity/exploiting-performance-portability-in-search-algorithms-for-autotuning (retrieved 2026-05-24)

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