Re-thinking Efficiency in Deep Learning under Accelerators and commodity and processors

Re-thinking Efficiency in Deep Learning under Accelerators and commodity and processors is a science project.

Event research_grant eu_cordis:805194
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Key Facts

  • Start time: September 1, 2020[1]
  • End time: August 31, 2025[2]
  • Participant: University of Cambridge[3], University of Oxford[4]
  • Short name: REDIAL[5]
  • Budget: 1,495,036 euro[6]
  • Funding scheme: Horizon 2020[7]

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APA 4ort.xyz Knowledge Graph. (2026). Re-thinking Efficiency in Deep Learning under Accelerators and commodity and processors. Retrieved October 8, 2026, from https://4ort.xyz/entity/re-thinking-efficiency-in-deep-learning-under-accelerators-and-commodity-and-processors
MLA “Re-thinking Efficiency in Deep Learning under Accelerators and commodity and processors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/re-thinking-efficiency-in-deep-learning-under-accelerators-and-commodity-and-processors.
BibTeX @misc{4ortxyz_re-thinking-efficiency-in-deep-learning-under-accelerators-and-commodity-and-processors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Re-thinking Efficiency in Deep Learning under Accelerators and commodity and processors}}, year = {2026}, url = {https://4ort.xyz/entity/re-thinking-efficiency-in-deep-learning-under-accelerators-and-commodity-and-processors}, note = {Accessed: 2026-10-08}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Re-thinking Efficiency in Deep Learning under Accelerators and commodity and processors — https://4ort.xyz/entity/re-thinking-efficiency-in-deep-learning-under-accelerators-and-commodity-and-processors (retrieved 2026-10-08)

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