专题演讲嘉宾:Tony Wu

Intel机器学习性能 高级性能架构师

Tony Wu has a diverse engineering background —from automobile design and control to computer engineering. After receiving PhD in Electrical and Computer Engineering from University of Minnesota at Twin Cities, Tony joined Intel Corporation in 2005. He has profound knowledge in performance and scalability for cloud and enterprise computing. Recently, Tony has focused on CPU architecture and performance for big data and machine learning applications. He has published a number of technical papers. He is the key inventor and first author of seven US patents (issued/pending) for datacenter scalability and CPU performance.

Tony Wu 拥有从汽车设计和控制到计算机工程的多元化工程背景。在明尼苏达大学双城分校获得电子与计算机工程博士学位后,Tony 于 2005 年加入英特尔公司。他在云计算和企业计算的性能和可伸缩性方面有着深厚的知识。近期,Tony 专注于大数据和机器学习应用的 CPU 架构和性能。他发表了多篇技术论文。他是有关数据中心可伸缩性和 CPU 性能方面的 7 项美国专利(已发布/正在申请)的主要发明人和第一作者。

by Tony Wu

Intel
机器学习性能 高级性能架构师

To develop high performance applications demands not only a well-designed software architecture but also an in-depth understanding on the underneath hardware. Unfortunately, the CPU microarchitectural and platform characteristics have been oftentimes ignored or overlooked by software development community. In this talk, we use real world examples to demonstrate the importance to understand CPU and platform architecture. Using Apache Spark and TPC-DS as an example, we share our best practices to achieve the best application performance on Intel Xeon.

开发高性能应用程序不仅需要设计良好的软件架构,还需要深入了解底层硬件。不幸的是,CPU 微架构和平台特性经常被软件开发社区忽略或忽视。在这次演讲中,我们将使用真实实践案例来展示 CPU 和平台架构的重要性。我们以 Apache Spark 和 TPC-DS 为例,分享我们在 Intel Xeon 上实现最优应用程序性能的最佳实践。

演讲提纲:
1. Background

  • Intel Xeon Sever for Data Center
  • Apache Spark for Big Data
  • TPC-DS Workload

2. Case Study

  • Case 1: Cache Contention
  • Case 2: Data Locality
  • Case 3: Resource Balancing

3. Q & A

你将获得:

  • Help audience better understand Intel Xeon platform and CPU microarchitecture
  • Help audience expand knowledge on TPC-DS workload behavior
  • Help audience optimize big data applications for better performance on Intel Xeon
  • 帮助观众更好地理解 Intel Xeon 平台和 CPU 微架构
  • 帮助观众拓展 TPC-DS 工作负载行为的相关知识
  • 帮助观众开发和优化大数据应用,在 Intel Xeon 上获得更好的性能

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