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Across the Stack Opportunities for Deep Learning Acceleration., , , , , , , , , и 21 other автор(ы). ISLPED, стр. 35:1-35:2. ACM, (2018)A pulsed low-voltage swing latch for reduced power dissipation in high-frequency microprocessors., , , , , и . ISLPED, стр. 85-88. ACM, (2006)A Semi-Custom Design Flow in High-Performance Microprocessor Design., и . DAC, стр. 426-431. ACM, (2001)A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference., , , , , , , , , и 21 other автор(ы). VLSI Circuits, стр. 35-36. IEEE, (2018)Floating body effects in partially-depleted SOI CMOS circuits., , , , , , , , , и . ISLPED, стр. 139-144. IEEE, (1996)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)On-chip circuit to monitor long-term NBTI and PBTI degradation., и . Microelectron. Reliab., 53 (9-11): 1252-1256 (2013)Synthesis design strategies for energy-efficient microprocessors., , , , , и . ICCD, стр. 103-108. IEEE Computer Society, (2016)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)RaPiD: AI Accelerator for Ultra-low Precision Training and Inference., , , , , , , , , и 44 other автор(ы). ISCA, стр. 153-166. IEEE, (2021)