系统和机器学习:当总和大于部分时

I. Stoica
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引用次数: 4

摘要

简介:Ion Stoica是加州大学伯克利分校EECS系教授,RISELab主任(https://rise.cs.berkeley.edu/)。他目前正在研究云计算和人工智能系统。过去的工作包括Apache Spark, Apache Mesos, Tachyon, Chord DHT和动态数据包状态(DPS)。他是ACM研究员,并获得了许多奖项,包括Mark Weiser奖(2019),SIGOPS名人堂奖(2015),SIGCOMM时间测试奖(2011)和ACM博士论文奖(2001)。他还共同创立了三家公司,Anyscale(2019)、Databricks(2013)和Conviva(2006)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systems and ML: When the Sum is Greater than Its Parts
BIOGRAPHY: Ion Stoica is a Professor in the EECS Department at the University of California at Berkeley, and the Director of RISELab (https://rise.cs.berkeley.edu/). He is currently doing research on cloud computing and AI systems. Past work includes Apache Spark, Apache Mesos, Tachyon, Chord DHT, and Dynamic Packet State (DPS). He is an ACM Fellow and has received numerous awards, including the Mark Weiser Award (2019), SIGOPS Hall of Fame Award (2015), the SIGCOMM Test of Time Award (2011), and the ACM doctoral dissertation award (2001). He also co-founded three companies, Anyscale (2019), Databricks (2013) and Conviva (2006).
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