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DeepCuts: a deep learning optimization framework for versatile GPU workloads

Research article (Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021) · cited 26× · AI/ML
academia openalex:W3173358825
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DeepCuts: a deep learning optimization framework for versatile GPU workloads

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DeepCuts: a deep learning optimization framework for versatile GPU workloads is a scholarly article[1].

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  • DeepCuts: a deep learning optimization framework for versatile GPU workloads's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DeepCuts: a deep learning optimization framework for versatile GPU workloads. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepcuts-a-deep-learning-optimization-framework-for-versatile-gpu-workloads
MLA “DeepCuts: a deep learning optimization framework for versatile GPU workloads.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepcuts-a-deep-learning-optimization-framework-for-versatile-gpu-workloads.
BibTeX @misc{4ortxyz_deepcuts-a-deep-learning-optimization-framework-for-versatile-gpu-workloads_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepCuts: a deep learning optimization framework for versatile GPU workloads}}, year = {2026}, url = {https://4ort.xyz/entity/deepcuts-a-deep-learning-optimization-framework-for-versatile-gpu-workloads}, note = {Accessed: 2026-05-24}}
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