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OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices

Research article (IEEE Transactions on Parallel and Distributed Systems, 2023) · cited 11× · AI/ML
academia openalex:W4387319124
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OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices

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OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices is a scholarly article[1].

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  • OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/ofpcnn-on-demand-fine-grained-partitioning-for-cnn-inference-acceleration-in-heterogeneous-devices
MLA “OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ofpcnn-on-demand-fine-grained-partitioning-for-cnn-inference-acceleration-in-heterogeneous-devices.
BibTeX @misc{4ortxyz_ofpcnn-on-demand-fine-grained-partitioning-for-cnn-inference-acceleration-in-heterogeneous-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices}}, year = {2026}, url = {https://4ort.xyz/entity/ofpcnn-on-demand-fine-grained-partitioning-for-cnn-inference-acceleration-in-heterogeneous-devices}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices — https://4ort.xyz/entity/ofpcnn-on-demand-fine-grained-partitioning-for-cnn-inference-acceleration-in-heterogeneous-devices (retrieved 2026-05-24)

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