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Efficient AI System Design With Cross-Layer Approximate Computing., , , , , , , , , и 30 other автор(ы). Proc. IEEE, 108 (12): 2232-2250 (2020)A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling., , , , , , , , , и 34 other автор(ы). ISSCC, стр. 144-146. IEEE, (2021)A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling., , , , , , , , , и 34 other автор(ы). IEEE J. Solid State Circuits, 57 (1): 182-197 (2022)DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator., , , , , , , , , и 3 other автор(ы). IEEE Micro, 39 (5): 102-111 (2019)RaPiD: AI Accelerator for Ultra-low Precision Training and Inference., , , , , , , , , и 44 other автор(ы). ISCA, стр. 153-166. IEEE, (2021)A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference., , , , , , , , , и 33 other автор(ы). VLSI Circuits, стр. 1-2. IEEE, (2020)14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC., , , , , , , , , и 36 other автор(ы). ISSCC, стр. 254-256. IEEE, (2024)Efficient fault simulation on many-core processors., , , и . DAC, стр. 380-385. ACM, (2010)