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Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference.

, , , , , , and . AAAI, page 8657-8665. AAAI Press, (2023)

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Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators., , , , , and . DAC, page 43:1-43:6. ACM, (2018)SHAPE: Scheduling of Fixed-Priority Tasks on Heterogeneous Architectures with Multiple CPUs and Many PEs., , , , , and . ICCAD, page 110:1-110:9. ACM, (2022)Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators., , , , , , , and . DAC, page 1:1-1:6. ACM, (2017)Path-Consistency: Prefix Enhancement for Efficient Inference in LLM., , , and . CoRR, (2024)F-LEMMA: Fast Learning-based Energy Management for Multi-/Many-core Processors., , , , and . MLCAD, page 43-48. ACM, (2020)Chain of Compression: A Systematic Approach to Combinationally Compress Convolutional Neural Networks., , , and . CoRR, (2024)Energy Efficient Real-Time Scheduling on Heterogeneous Architectures with Self-Suspension., , , , , , , , and . ISLPED, page 1-6. IEEE, (2023)ONE-SA: Enabling Nonlinear Operations in Systolic Arrays For Efficient and Flexible Neural Network Inference., , , , and . DATE, page 1-6. IEEE, (2024)Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading., , , , , , and . RTAS, page 56-69. IEEE, (2020)EENet: Energy Efficient Neural Networks with Run-time Power Management., , , and . DAC, page 1-6. IEEE, (2023)