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Mangrove: An Inference-Based Dynamic Invariant Mining for GPU Architectures.

, , , , and . IEEE Trans. Computers, 69 (4): 606-620 (2020)

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Automatic extraction of assertions from execution traces of behavioural models., , and . DATE, page 67-72. ACM, (2015)Fault model qualification by assertion mining., , and . LATS, page 45-50. IEEE, (2016)RTL Assertion Mining with Automated RTL-to-TLM Abstraction., , , , and . FDL, page 1-8. IEEE, (2019)A-TEAM: Automatic template-based assertion miner., , and . DAC, page 37:1-37:6. ACM, (2017)Automatic generation of power state machines through dynamic mining of temporal assertions., , and . DATE, page 606-611. IEEE, (2016)DOVE: pinpointing firmware security vulnerabilities via symbolic control flow assertion mining (work-in-progress)., , and . CODES+ISSS, page 9:1-9:2. ACM, (2017)Symbolic assertion mining for security validation., , and . DATE, page 1550-1555. IEEE, (2018)Engineering of an Effective Automatic Dynamic Assertion Mining Platform., , , , , and . VLSI-SoC, page 111-116. IEEE, (2019)A time-window based approach for dynamic assertions mining on control signals., , and . VLSI-SoC, page 246-251. IEEE, (2015)Exploiting GPU architectures for dynamic invariant mining., , , , and . ICCD, page 192-195. IEEE Computer Society, (2015)