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Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing

Author(s)
Gelashvili, Rati; Spiegelman, Alexander; Xiang, Zhuolun; Danezis, George; Li, Zekun; Malkhi, Dahlia; Xia, Yu; Zhou, Runtian; ... Show more Show less
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
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Date issued
2023-02-25
URI
https://hdl.handle.net/1721.1/148274
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Publisher
ACM|The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
Citation
Gelashvili, Rati, Spiegelman, Alexander, Xiang, Zhuolun, Danezis, George, Li, Zekun et al. 2023. "Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing."
Version: Final published version
ISBN
979-8-4007-0015-6

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