Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Zuo Wang

Zuo Wang
Principal Researcher, Wanda

@harpe1999

Zuo Wang is a principal researcher at Wanda AI Technology Center. For the past few years, he has worked on large-scale distributed deep learning systems including PaddlePaddle, Mxnet, Tensorflow, and lead the effort to apply deep learning on clothes classification, clothing fashion ananlysis, and cross-domain clothing similarity matching. Zuo’s main interest is in deep learning, computer vision, and distributed systems. He used to work on MicroStrategy, a high performance enterprise analytics platform, and Apache Impala, an SQL query engine for data stored in Apache Hadoop.

Sessions

11:20am–12:00pm Thursday, 10/01/2015
Hadoop Internals & Development
Location: 1 E16 / 1 E17 Level: Intermediate
Henry Robinson (Cloudera), Zuo Wang (Wanda), Arthur Peng (Intel)
Average rating: ***..
(3.71, 7 ratings)
Columnar data formats such as Apache Parquet promise much in terms of performance, but need help from modern CPUs to fully realize all the benefits. In this talk we'll show how the combination of the newest SIMD instruction sets, and an open-source columnar file format, can provide an enormous performance advantage. Our example system will be Impala, Parquet, and Intel's AVX2 instruction set. Read more.