Фильтры

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).
Автор: Nguyen, Khang T (Intel) Последнее обновление: 06.07.2019 - 16:40
Article

Baidu Deep Neural Network Click-Through Rate on Intel® Xeon® Processors E5 v4

How do new web sites selling products or services appear at the top of the search list? The key is to use the right keywords that people might use to search for their products or services. Baidu1 is the most popular search engine in China. Ad companies can pay Baidu so that their ads appear at the top of the search list.
Автор: Nguyen, Khang T (Intel) Последнее обновление: 05.07.2019 - 14:36
Видео

BigDL: Distributed Deep Learning on Apache Spark

BigDL is a distributed deep learning library for Apache Spark*; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Sp

Автор: Gerald M. (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

Intel® Math Kernel Library for Deep Learning Networks: Part 1–Overview and Installation

Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Автор: Bryan B. (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
Автор: Sunny G. (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

BigDL: Bring Deep Learning to the Fingertips of Big Data Users and Data Scientists

Big data and analytics play a central role in today’s smart and connected world, and are continuously driving the convergence of big data, analytics, and machine learning/deep learning. We open sourced BigDL, a distributed deep learning library for Apache Spark*, for the very purpose of uniting the deep learning community and the big data community
Автор: Jason Dai (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

Deploying BigDL on Microsoft’s Azure* Data Science Virtual Machine

Automated Installation of BigDL Using Deploy to Azure*
Автор: Последнее обновление: 11.03.2019 - 13:17
Блоги

Deep Learning on Qubole* Using BigDL for Apache Spark*

BigDL runs natively on Apache Spark*, and because Qubole* offers a greatly enhanced and optimized Spark as a service, it makes for a perfect deployment platform.

Автор: Последнее обновление: 11.03.2019 - 13:17
Article

Vector API Developer Program for Java* Software

This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
Автор: Neil V. (Intel) Последнее обновление: 06.07.2019 - 16:30
Article

Building Large-Scale Image Feature Extraction with BigDL at JD.com

This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL.
Автор: Jason Dai (Intel) Последнее обновление: 30.05.2019 - 15:56