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Open Source - OpenStack

OpenStack
Автор: Последнее обновление: 13.07.2018 - 14:32
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Experimenting with OpenStack* Sahara* on Docker* Containers

Docker* is an emerging technology that has become very popular recently in the market. It provides a flexible architecture to deploy applications. OpenStack* is another hot technology on the market. It has been available for several years, became more stable and also added more features support in recent releases.
Автор: WEITING C. (Intel) Последнее обновление: 06.07.2019 - 17:10
Article

Installing Apache Zeppelin* on Cloudera Distribution of Hadoop*

Apache Zeppelin* is a new web-based notebook that enables data-driven, interactive data analytics, and visualization with the added bonus of supporting multiple languages, including Python*, Scala*, Spark SQL, Hive*, Shell, and Markdown. Zeppelin also provides Apache Spark* integration by default, making use of Spark’s fast in-memory, distributed, data processing engine to accomplish data science...
Автор: Последнее обновление: 07.06.2017 - 10:40
Article

Accelerating Secondary Genome Analysis Using Intel® Reference Architecture

The dramatic reduction in whole human genome sequencing costs, from USD 100 million per genome in 2001 to USD 4,500 per genome in 2014, combined with the increasing performance gains in computing t

Автор: Mike P. (Intel) Последнее обновление: 06.07.2019 - 16:40
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The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
Автор: David S. (Blackbelt) Последнее обновление: 04.07.2019 - 20:00
Видео

Intel® Big Data & Analytics Software Overview

This video animation provides an overview of Intel® Software contributions to Big Data & Analytics.

Автор: админ Последнее обновление: 14.06.2017 - 08:53
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.
Автор: Gennady F. (Blackbelt) Последнее обновление: 05.07.2019 - 14:54
Article

Indexing DICOM* Images on Cloudera Hadoop* Distribution

This paper show how to replicate the proof point, to index DICOM images for storage, management, and retrieval on a Cloudera Hadoop* cluster, using open source software components.
Автор: Последнее обновление: 22.02.2019 - 16:10
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Python Brings Us the LIGO Gravity Wave Sound

 

Автор: David S. (Blackbelt) Последнее обновление: 04.07.2019 - 19:22