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G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs.

, , , , , and . SC, page 54. ACM, (2021)

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Bridging mobile device configuration to the user experience under budget constraint., , and . Pervasive Mob. Comput., (2019)Improving energy efficiency of mobile devices by characterizing and exploring user behaviors., , and . J. Syst. Archit., (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)Eff-ECC: Protecting GPGPUs Register File With a Unified Energy-Efficient ECC Mechanism., , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (7): 2080-2093 (2022)Cost-effective soft-error protection for SRAM-based structures in GPGPUs., , and . Conf. Computing Frontiers, page 29:1-29:10. ACM, (2013)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)Soft-error reliability and power co-optimization for GPGPUS register file using resistive memory., , and . DATE, page 369-374. ACM, (2015)G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs., , , , , and . SC, page 54. ACM, (2021)LoSCache: Leveraging Locality Similarity to Build Energy-Efficient GPU L2 Cache., , , and . DATE, page 1190-1195. IEEE, (2019)Hybrid CMOS-TFET based register files for energy-efficient GPGPUs., , and . ISQED, page 112-119. IEEE, (2013)