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Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users.

, , , , , , and . ACM Trans. Embed. Comput. Syst., 18 (6): 123:1-123:20 (2020)

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LoSCache: Leveraging Locality Similarity to Build Energy-Efficient GPU L2 Cache., , , and . DATE, page 1190-1195. IEEE, (2019)Energy-Efficient GPU L2 Cache Design Using Instruction-Level Data Locality Similarity., , , and . ACM Trans. Design Autom. Electr. Syst., 25 (6): 52:1-52:18 (2020)Process Variation Mitigation on Convolutional Neural Network Accelerator Architecture., , , and . ICCD, page 47-55. IEEE, (2019)Combating the Reliability Challenge of GPU Register File at Low Supply Voltage., , , , , and . PACT, page 3-15. ACM, (2016)Improving energy efficiency of mobile devices by characterizing and exploring user behaviors., , and . J. Syst. Archit., (2019)Bridging mobile device configuration to the user experience under budget constraint., , and . Pervasive Mob. Comput., (2019)Improving the Performance of CNN Accelerator Architecture under the Impact of Process Variations., , , , and . ACM Trans. Design Autom. Electr. Syst., 28 (5): 85:1-85:21 (September 2023)Energy-efficient cache design in emerging mobile platforms: the implications and optimizations., and . DATE, page 375-380. ACM, (2015)MCM-GPU Voltage Noise Characterization and Architecture-Level Mitigation., , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (12): 5084-5097 (December 2023)MG-Voltage: Characterizing and Mitigating Voltage Noise in MCM-GPU Architectures., , and . ICCD, page 714-721. IEEE, (2022)