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Object Orientation Meets Big Data - Performance Impact, Restoration, and Thoughts on Language Design
2018-05-08 | 【 【打印】【关闭】

  主讲人: Prof. Harry Xu, Associate Professor, University of California, Irvine

  时间:2018年5月21日(周一)上午10:00

  地点:计算所四层报告厅

  报告摘要:

  Object orientation (OO) is a powerful programming methodology that lays the foundation for most of today's large-scale software applications, including data-intensive systems such as Spark and Hadoop, which have increasingly large impact on our daily lives. OO contains a set of abstractions that provide the benefit of modularity and simplicity in programming at the cost of a performance penalty at run time. While this penalty is arguably small for non-data-intensive applications, it can get significantly magnified in ''big data'' systems that create and manipulate billions of data objects, becoming too large to accept in production settings.

  主讲人简介:

  Harry Xu is an Associate Professor in the Computer Science Department of University of California, Irvine. Harry worked at Microsoft Research as a Visiting Researcher in 2017, where he created and led the development of a project that aims to build an optimizing compiler for multilingual data analytical pipelines, and in particular, Microsoft’s Scope/Cosmos. He worked at IBM T. J. Waston Research Center as a Co-op/intern from 2008 to 2011 where he led the development of a series of runtime bloat detection tools. His research ranges from software engineering, through programming languages and compilers, to runtime/operating/distributed systems and computer architecture. Harry is the recipient of the AITO Dahl-Nygaard Prize (2018), a Distinguished Research Award from Ohio State University (2011), as well as a number of Distinguished Paper Award from ACM SIGPLAN and SIGSOFT.

 
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