Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving | Paper Citation Record

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This paper cites IEEE Standard for Design and Verification of Low-Power Energy-Aware Electronic Systems.IEEE Std 1801-2024 (Revision of IEEE Std 1801-2018)(2025), 1–614.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving IEEE Standard for Design and Verification of Low-Power Energy-Aware Electronic Systems.IEEE Std 1801-2024 (Revision of IEEE Std 1801-2018)(2025), 1–614

Reference 1

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This paper cites Coral NPU.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Coral NPU

Reference 2

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This paper cites Abdelhafez, Christopher Zimmer, Sudharshan S.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Abdelhafez, Christopher Zimmer, Sudharshan S

Reference 3

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 4

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This paper cites Ionescu, Klaus E.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Ionescu, Klaus E

Reference 5

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 6

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 7

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 8

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This paper cites DualScale: Energy-Efficient Disaggregated LLM Serving via Phase-Aware Placement and DVFS.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving DualScale: Energy-Efficient Disaggregated LLM Serving via Phase-Aware Placement and DVFS

Reference 9

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This paper cites Beckmann, and Stephen Kosonocky.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Beckmann, and Stephen Kosonocky

Reference 10

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 11

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 12

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Reference 13

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This paper cites Soma, and M.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Soma, and M

Reference 14

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This paper cites Clark, Vinay Vashishtha, Lucian Shifren, Aditya Gujja, Saurabh Sinha, Brian Cline, Chandarasekaran Ramamurthy, and Greg Yeric.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Clark, Vinay Vashishtha, Lucian Shifren, Aditya Gujja, Saurabh Sinha, Brian Cline, Chandarasekaran Ramamurthy, and Greg Yeric

Reference 15

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Reference 16

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving DeepSeek-V3 Technical Report

Reference 17

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Reference 18

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 19

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 20

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Reference 21

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Unresolved cited work

Reference 22

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Reference 23

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Reference 24

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This paper cites Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts

Reference 25

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving 2025.Energy and AI

Reference 27

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Reference 28

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This paper cites Analysis of Edge Mismatch and Output Power Degradation in Cascoded Class-D Power Amplifiers Using Dual-Range Voltage Level Shifters.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Analysis of Edge Mismatch and Output Power Degradation in Cascoded Class-D Power Amplifiers Using Dual-Range Voltage Level Shifters

Reference 29

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Reference 30

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Kim, Yi-Chun Shih, Kaushik Mazumdar, Rinkle Jain, Joseph F

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Gupta, Gu-Yeon Wei, and David Brooks

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Aamodt, and Vijay Janapa Reddi

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving EcoServe: Designing Carbon-Aware AI Inference Systems

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving The Llama 3 Herd of Models

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Semeraro, G

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Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving Saputra, M

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