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

Bibliographic Details
Main Authors:	Gelashvili, Rati, Spiegelman, Alexander, Xiang, Zhuolun, Danezis, George, Li, Zekun, Malkhi, Dahlia, Xia, Yu, Zhou, Runtian
Other Authors:	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format:	Article
Language:	English
Published:	ACM\|The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming 2023
Online Access:	https://hdl.handle.net/1721.1/148274

Internet

https://hdl.handle.net/1721.1/148274