Efficiently and Completely Verifying Synchronized Consistency Models [chapter]

Yi Lv, Luming Sun, Xiaochun Ye, Dongrui Fan, Peng Wu
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The physical time order information can help verifying the memory model of a multiprocessor system rather efficiently. But we find that this time order based approach is limited to the sequential consistency model. For most relaxed memory models, an incompatible time order may possibly result in a false negative verdict. In this paper, we extend the original time order based approach to synchronized consistency models, and propose an active frontier approach to rule out such false verdicts
more &raquo; ... on a reasonably relaxed time order. Our approach can be applied to most known memory models, especially to those with non-atomic write operations, while nevertheless retaining the efficiency of the original time order based approach. We implement our approach in a Memory Order Dynamic Verifier (MODV). A case study with an industrial Godson-T many-core processor demonstrates the effectiveness and efficiency of our approach. Several bugs of the design of this processor are also found by MODV.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-11936-6_20">doi:10.1007/978-3-319-11936-6_20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v2rrvcpf6zbptk6ca4y42hilzu">fatcat:v2rrvcpf6zbptk6ca4y42hilzu</a> </span>
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