PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks
Summary
PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks is a scholarly article[1].
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PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/psb-rnn-a-processing-in-memory-systolic-array-architecture-using-block-circulant-matrices-for-recurrent-neural-networks
MLA“PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/psb-rnn-a-processing-in-memory-systolic-array-architecture-using-block-circulant-matrices-for-recurrent-neural-networks.
BibTeX@misc{4ortxyz_psb-rnn-a-processing-in-memory-systolic-array-architecture-using-block-circulant-matrices-for-recurrent-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/psb-rnn-a-processing-in-memory-systolic-array-architecture-using-block-circulant-matrices-for-recurrent-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks — https://4ort.xyz/entity/psb-rnn-a-processing-in-memory-systolic-array-architecture-using-block-circulant-matrices-for-recurrent-neural-networks (retrieved 2026-05-24)
