An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators

Research article (2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 2020) · cited 41× · AI/ML
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An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators

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An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-energy-efficient-quantized-and-regularized-training-framework-for-processing-in-memory-accelerators
MLA “An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-energy-efficient-quantized-and-regularized-training-framework-for-processing-in-memory-accelerators.
BibTeX @misc{4ortxyz_an-energy-efficient-quantized-and-regularized-training-framework-for-processing-in-memory-accelerators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators}}, year = {2026}, url = {https://4ort.xyz/entity/an-energy-efficient-quantized-and-regularized-training-framework-for-processing-in-memory-accelerators}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators — https://4ort.xyz/entity/an-energy-efficient-quantized-and-regularized-training-framework-for-processing-in-memory-accelerators (retrieved 2026-05-24)

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