AMPLab postdoc Julian Shun wins the ACM Doctoral Dissertation Award

I am very pleased to announce that Julian Shun has been awarded the ACM&;s doctoral dissertation award for his 2015 CMU doctoral thesis &;Shared-Memory Parallelism Can Be Simple, Fast, and Scalable&; which also won that year&8217;s CMU SCS distinguished dissertation award.
 
Julian currently works with me as a postdoc both in the Department of Statistics and in the AMP Lab in the EECS Department and is supported by a Miller Fellowship. His research focuses on fundamental theoretical and practical questions at the interface between computer science and statistics for large-scale data analysis. He is particularly interested in all aspects of parallel computing, especially parallel graph processing frameworks, algorithms, data structures and tools for deterministic parallel programming; and he has developed Ligra, a lightweight graph processing framework for shared memory.
 
More details can be found in the  official ACM announcement.
 
Join me in congratulating Julian!
Quelle: Amplab Berkeley

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