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Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units.

, , , , and . SC, page 46:1-46:14. ACM, (2023)

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A Compaction Method for STLs for GPU in-field test., , and . DATE, page 454-459. IEEE, (2022)Neural Network's Reliability to Permanent Faults: Analyzing the Impact of Performance Optimizations in GPUs., , and . ICECS 2022, page 1-4. IEEE, (2022)On the Functional Test of Special Function Units in GPUs., , and . DDECS, page 81-86. IEEE, (2021)Using Hardware Performance Counters to support infield GPU Testing., , and . ICECS, page 1-4. IEEE, (2021)Analyzing the Impact of Different Real Number Formats on the Structural Reliability of TCUs in GPUs., , , and . VLSI-SoC, page 1-6. IEEE, (2023)Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units., , , , and . SC, page 46:1-46:14. ACM, (2023)Enhancing the Reliability of Split Computing Deep Neural Networks., , , , and . IOLTS, page 1-7. IEEE, (2024)A Novel Compaction Approach for SBST Test Programs., , and . ATS, page 67-72. IEEE, (2021)Reliability Estimation of Split DNN Models for Distributed Computing in IoT Systems., , , , and . ISIE, page 1-4. IEEE, (2023)Assessing the Reliability of Different Split Computing Neural Network Applications., , , , and . LATS, page 1-6. IEEE, (2024)