この検索内の頻出タグ: accelerator^:4 neural^:3 22nm^:2 accelerators^:2 cmos^:2 computing^:2 dbc^:2 edge-ai^:2 evaluation^:2 fsrms^:2 impact^:2 integrated^:2 jitter^:2 low-power^:2 network^:2 reliability^:2 soc^:2 system-on-chip^{:2 :1} 1.784^:1 128.4^:1 13-34^:1 22^:1 292.2-to-321.4^:1 88.5^:1 8t^:1 access^:1 accurately^:1 ai^:1 allocation^:1

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論文誌

[1] Y. Liang, S. Chen, H. Zhang, L. Lin, Q. Cheng, and M. Hashimoto, "A 292.2-To-321.4 Ghz Synchronized Source Generator with ‒58.7 Dbc Spurious Tone and 128.4 Fsrms Integrated Jitter in 22 Nm Cmos Technology," IEEE Transactions on Microwave Theory and Techniques, 採録済.

[2] M. Lou, J. Wang, H. Li, Z. Yang, Q. Cheng, J. Li, M. Hashimoto, and L. Lin, "Area-Efficient and Low-Power 8T Compute-SRAM Bitcell Design for Digital Compute-In-Memory Macros in 22nm CMOS," IEEE Transactions on Circuits and Systems II, 採録済.

[3] Q. Cheng and M. Hashimoto, "A 1.784 Tops Multi-Data-Type Multi-Data-Flow Transformer Accelerator for Object Recognition," Proceedings of International Conference on Integrated Circuits, Technologies and Applications (ICTA), 採録済.

[4] W. Jin, Q. Cheng, Y. Liang, and M. Hashimoto, "An 88.5 fsrms Integrated Jitter and ‒76.2 dBc Reference Spur mmW PLL Utilizing a Ripple Compensation Phase/Frequency Detector," IEEE Transactions on Circuits and Systems I: Regular Papers, volume 72, number 9, pages 4570-4583, September 2025. [pdf]

[5] Q. Cheng, M. Huang, C. Man, A. Shen, L. Dai, H. Yu, and M. Hashimoto, "Reliability Exploration of System-On-Chip with Multi-Bit-Width Accelerator for Multi-Precision Deep Neural Networks," IEEE Transactions on Circuits and Systems I: Regular Papers, volume 70, number 10, 3978 -- 3991, October 2023. [pdf]

[6] Q. Cheng, L. Dai, M. Huang, A. Shen, W. Mao, M. Hashimoto, and H. Yu, "A Low-Power Sparse Convolutional Neural Network Accelerator with Pre-Encoding Radix-4 Booth Multiplier," IEEE Transactions on Circuits and Systems II, volume 70, number 6, 2246 - 2250, June 2023. [pdf]

国際会議

[1] Q. Cheng, H. Zhang, C.-H. Liang, M. Zhang, J.-J. Liou, J. Xiong, L. Lin, and M. Hashimoto, "Tenpura: a General Transient Fault Evaluation and Scope Narrowing Platform for Ultra-Fast Reliability Analysis," Proceedings of International Conference on Computer-Aided Design (ICCAD), 採録済.

[2] Q. Cheng, H. Zhang, Q. Li, Y. Liang, M. Zhang, Z. Chen, R. Zhang, J. Xiong, M. Huang, L. Lin, and M. Hashimoto, "A Scalable External Memory Access and On-Chip Storage Architecture for Edge-AI Accelerators -- Multi-Path Rolling Data Refresh and Layer-Wise Bank Allocation --," Proceedings of IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), August 2025. [pdf]

[3] Q. Cheng, Q. Li, Z. Yang, Z. Kong, G. Niu, Y. Liang, J. Li, J. H. Park, W. Liao, H. Awano, T. Sato, L. Lin, and M. Hashimoto, "A Radiation-Hardened Neuromorphic Imager with Self-Healing Spiking Pixels and Unified Spiking Neural Network for Space Robotics," Digest of Symposium on VLSI Technology and Circuits, June 2025. [pdf]

[4] Q. Cheng, Qiufeng Li, W. Dong, M. Zhang, R. Zhang, M. Huang, H. Yu, Y. Shi, H. Awano, T. Sato, L. Lin, and M. Hashimoto, "A 22nm Resource-Frugal Hyper-Heterogeneous Multi-Modal System-On-Chip Towards In-Orbit Computing," Proceedings of IEEE Custom Integrated Circuits Conference (CICC), April 2025. [pdf]

[5] Q. Cheng, W. Liao, R. Zhang, H. Yu, L. Lin, and M. Hashimoto, "HachiFI: a Lightweight SoC Architecture-Independent Fault-Injection Framework for SEU Impact Evaluation," Proceedings of Design, Automation and Test in Europe Conference (DATE), March 2025. [pdf]

[6] M. Zhang, Q. Cheng, H. Awano, L. Lin, and M. Hashimoto, "S3M: Static Semi-Segmented Multipliers for Energy-Efficient DNN Inference Accelerators," Proceedings of IEEE International Conference on Computer Design (ICCD), pages 16-23, October 2024. [pdf]

[7] Q Cheng, L. Lin, M. Huang, Q. Li, Z. Yang, L. Dai, H. Yu, Y-J. Chen, Y. Shi, and M. Hashimoto, "A 13-34 TOPS/W Edge-AI Processor Featuring Booth-Value-Confined Accelerator, Near-Memory Computing, and Contiguity-Aware Mapping," Technical Digest of Asian Solid-State Circuits Conference (A-SSCC), October 2024. [pdf]

[8] Q. Cheng, Q. Li, L. Lin, W. Liao, L. Dai, H. Yu, and M. Hashimoto, "How Accurately Can Soft Error Impact Be Estimated in Black-Box/White-Box Cases? -- a Case Study with an Edge AI SoC --," Proceedings of Design Automation Conference (DAC), June 2024. [pdf]