DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training

Research article (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020) · cited 275× · AI/ML
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DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training

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DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training. Retrieved May 24, 2026, from https://4ort.xyz/entity/dnn-neurosim-v2-0-an-end-to-end-benchmarking-framework-for-compute-in-memory-accelerators-for-on-chip-training
MLA “DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dnn-neurosim-v2-0-an-end-to-end-benchmarking-framework-for-compute-in-memory-accelerators-for-on-chip-training.
BibTeX @misc{4ortxyz_dnn-neurosim-v2-0-an-end-to-end-benchmarking-framework-for-compute-in-memory-accelerators-for-on-chip-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training}}, year = {2026}, url = {https://4ort.xyz/entity/dnn-neurosim-v2-0-an-end-to-end-benchmarking-framework-for-compute-in-memory-accelerators-for-on-chip-training}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training — https://4ort.xyz/entity/dnn-neurosim-v2-0-an-end-to-end-benchmarking-framework-for-compute-in-memory-accelerators-for-on-chip-training (retrieved 2026-05-24)

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