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IEEE Transactions on Circuits and Systems I: Regular Papers最新文献

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IEEE Circuits and Systems Society Information 电气和电子工程师学会电路与系统协会信息
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-25 DOI: 10.1109/TCSI.2024.3469775
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引用次数: 0
Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems—ISICAS 2024 集成电路与系统国际研讨会--ISICAS 2024》特邀编辑专刊
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-25 DOI: 10.1109/TCSI.2024.3471029
Xinmiao Zhang
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引用次数: 0
TechRxiv: Share Your Preprint Research with the World! TechRxiv:与世界分享您的预印本研究成果!
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-25 DOI: 10.1109/TCSI.2024.3477149
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引用次数: 0
IEEE Transactions on Circuits and Systems--I: Regular Papers Information for Authors IEEE 《电路与系统》期刊--I:常规论文 作者须知
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-25 DOI: 10.1109/TCSI.2024.3469773
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引用次数: 0
IEEE Transactions on Circuits and Systems--I: Regular Papers Publication Information IEEE 电路与系统论文集--I:常规论文 出版信息
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-25 DOI: 10.1109/TCSI.2024.3469771
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引用次数: 0
IEEE Circuits and Systems Society Information 电气和电子工程师学会电路与系统协会信息
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-01 DOI: 10.1109/TCSI.2024.3460265
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引用次数: 0
IEEE Transactions on Circuits and Systems--I: Regular Papers Information for Authors IEEE 《电路与系统》期刊--I:常规论文 作者须知
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-01 DOI: 10.1109/TCSI.2024.3460263
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引用次数: 0
IEEE Transactions on Circuits and Systems--I: Regular Papers Publication Information IEEE 电路与系统论文集--I:常规论文 出版信息
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-01 DOI: 10.1109/TCSI.2024.3460261
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引用次数: 0
CASCADE: A Framework for CNN Accelerator Synthesis With Concatenation and Refreshing Dataflow CASCADE:利用串联和刷新数据流的 CNN 加速器合成框架
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-01 DOI: 10.1109/TCSI.2024.3452954
Qingyu Guo;Haoyang Luo;Meng Li;Xiyuan Tang;Yuan Wang
Layer Pipeline (LP) represents an innovative architecture for neural network accelerators, which implements task-level pipelining at the granularity of layers. Despite improvements in throughput, LP architectures face challenges due to complicated dataflow design, intricate design space and high resource requirements. In this paper, we introduce an accelerator synthesis framework, CASCADE. CASCADE leverages a novel dataflow, CARD, to efficiently manage convolutional operations’ irregular memory access patterns using simplified logic and minimal buffers. It also employs advanced design space exploration methods to optimize unrolling parallelism and FIFO depth settings automatically for each layer. Finally, to further enhance resource efficiency, CASCADE leverages Lookup Table-based multiplication and accumulation units. With extensive experimental results, we demonstrate that CASCADE significantly outperforms existing works, achieving a $3times $ improvement in resource efficiency and a $4times $ improvement in power efficiency. It achieves over $1.5times 10^{4}$ frames per second throughput and 71.9% accuracy on ImageNet.
层流水线(LP)是神经网络加速器的创新架构,它以层为粒度实现任务级流水线。尽管吞吐量有所提高,但由于复杂的数据流设计、错综复杂的设计空间和较高的资源要求,LP 架构仍面临挑战。在本文中,我们介绍了一种加速器综合框架 CASCADE。CASCADE 利用新颖的数据流 CARD,使用简化的逻辑和最小的缓冲区有效地管理卷积操作的不规则内存访问模式。它还采用先进的设计空间探索方法,为每一层自动优化开卷并行性和 FIFO 深度设置。最后,为了进一步提高资源效率,CASCADE 利用了基于查找表的乘法和累加单元。通过大量实验结果,我们证明 CASCADE 的性能明显优于现有研究成果,在资源效率方面提高了 3 美元/次,在能效方面提高了 4 美元/次。它在 ImageNet 上实现了每秒超过 1.5 美元(10^{4}$ 帧)的吞吐量和 71.9% 的准确率。
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引用次数: 0
TechRxiv: Share Your Preprint Research with the World! TechRxiv:与世界分享您的预印本研究成果!
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-01 DOI: 10.1109/TCSI.2024.3462329
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引用次数: 0
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IEEE Transactions on Circuits and Systems I: Regular Papers
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