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Apache Spark* Innovation: Driving a Stronger Community Standard

This blog post was jointly written by Jiangang Duan, Jie Huang and Weihua Jiang (Intel), Alex Gutow (Cloudera), and Dale Kim (MapR)

 

作者: 最后更新时间: 2019/03/11 - 13:17
Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/07/05 - 14:54
Article

IDF'15 Webcast: Data Analytics and Machine Learning

This Technology Insight will demonstrate how to optimize data analytics and machine learning workloads for Intel® Architecture based data center platforms. Speaker: Pradeep Dubey Intel Fellow, Intel Labs Director, Parallel Computing Lab, Intel Corporation
作者: Mike P. (Intel) 最后更新时间: 2019/07/06 - 16:40
Article

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/07/05 - 14:55
Article

Performance Comparison of OpenBLAS* and Intel® Math Kernel Library in R

Today, scientific and business industries collect large amounts of data, analyze them, and make decisions based on the outcome of the analysis. This paper compares the performance of Basic Linear Algebra Subprograms (BLAS), libraries OpenBLAS, and the Intel® Math Kernel Library (Intel® MKL).
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/06 - 16:40
Article

Using Intel Data Analytics Acceleration Library on Apache Spark*

Apache Spark* (http://spark.apache.org/) is a fast and general engine for large-scale data processing.

作者: Zhang, Zhang (Intel) 最后更新时间: 2019/03/11 - 13:17
视频

Intel's Machine Learning Strategy

Joseph Spisak, Director, Strategy and Business Development at Intel, discusses Intel’s machine learning strategy and its impact.

作者: 管理 最后更新时间: 2018/01/24 - 15:35
视频

Distributed Machine Learning on Apache Spark*

Radhika Rangarajan, Engineering Program Manager at Intel, discusses distributed machine learning on Apache Spark*.

作者: 管理 最后更新时间: 2019/03/11 - 13:17
视频

Intel® Data Analytics Acceleration Library

Kent Moffat, Senior Product Manager at Intel, discusses Intel’s data analytics acceleration and math kernel libraries and how to get started. 

作者: 管理 最后更新时间: 2018/01/24 - 15:35
视频

An Inside and Outside Scan: Machine Learning, Big Data Analytics, AI, Cognitive Computing

John Miranda, Software Engineering Manager at Intel, discusses machine learning, big data analytics, artificial intelligence and cognitive computing and how these areas are driving career opportuni

作者: 管理 最后更新时间: 2018/01/24 - 15:35