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dc.contributor.authorGelashvili, Rati
dc.contributor.authorSpiegelman, Alexander
dc.contributor.authorXiang, Zhuolun
dc.contributor.authorDanezis, George
dc.contributor.authorLi, Zekun
dc.contributor.authorMalkhi, Dahlia
dc.contributor.authorXia, Yu
dc.contributor.authorZhou, Runtian
dc.date.accessioned2023-03-01T16:28:25Z
dc.date.available2023-03-01T16:28:25Z
dc.date.issued2023-02-25
dc.identifier.isbn979-8-4007-0015-6
dc.identifier.urihttps://hdl.handle.net/1721.1/148274
dc.publisherACM|The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programmingen_US
dc.relation.isversionofhttps://doi.org/10.1145/3572848.3577524en_US
dc.rightsArticle 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.en_US
dc.sourceACM|The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programmingen_US
dc.titleBlock-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessingen_US
dc.typeArticleen_US
dc.identifier.citationGelashvili, 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."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-03-01T08:47:42Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-03-01T08:47:42Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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