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A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity

Research article (IEEE Journal of Solid-State Circuits, 2023) · cited 13× · AI/ML
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A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity

Summary

A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity is a scholarly article[1].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-28-nm-8-bit-floating-point-tensor-core-based-programmable-cnn-training-processor-with-dynamic-structured-sparsity
MLA “A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-28-nm-8-bit-floating-point-tensor-core-based-programmable-cnn-training-processor-with-dynamic-structured-sparsity.
BibTeX @misc{4ortxyz_a-28-nm-8-bit-floating-point-tensor-core-based-programmable-cnn-training-processor-with-dynamic-structured-sparsity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity}}, year = {2026}, url = {https://4ort.xyz/entity/a-28-nm-8-bit-floating-point-tensor-core-based-programmable-cnn-training-processor-with-dynamic-structured-sparsity}, note = {Accessed: 2026-05-24}}
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