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Ways to Speed up your Cloud Environment and Workload Performance on Intel® Architecture

Setting up a cloud environment is complicated, and it involves multiple elements such as database, network infrastructure, security, etc., (depending on the need).  How do you increase the p

Автор: Thai Le (Intel) Последнее обновление: 04.07.2019 - 17:05
Блоги

Use HiBench as a representative proxy for benchmarking Hadoop applications

As any good engineer knows, “if you cannot measure it, you cannot improve it.” And a representative benchmark suite is the key for measuring any computer systems.

Автор: Jason Dai (Intel) Последнее обновление: 03.07.2019 - 20:08
Блоги

RTFB Episode 8 with Thai Le: Optimizing Cloud Performance on Intel(r) Architecture

Автор: Gael H. (Blackbelt) Последнее обновление: 22.02.2019 - 16:10
Блоги

Getting Started with Tachyon by Use Cases

In-memory computing has become an irreversible trend in big data technology, for which the wide popularity of Spark provides a good evidence. Meanwhile, memory storage and management for large data sets are still posing challenges. Out of numerous solutions, Tachyon, a memory-centric distributed storage, well solves the problems faced by many application scenarios. For example, it avoids severe...
Автор: Последнее обновление: 07.06.2019 - 16:01
Article

Live Webinar: Boost Python* Performance with Intel® Math Kernel Library

Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
Автор: Mike P. (Intel) Последнее обновление: 07.06.2017 - 10:28
Article

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Автор: Andres Rodriguez (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Автор: Sunny G. (Intel) Последнее обновление: 08.05.2018 - 10:50
Блоги

Mode collapse in GANs

Hello everyone! 

Автор: Последнее обновление: 12.12.2018 - 18:00
Article

LSTM-Based Time Series Anomaly Detection Using Analytics Zoo for Apache Spark* and BigDL at Baosight

This article shares the experience and lessons learned from Baosight and Intel team in building an unsupervised time series anomaly detection project, using long short-term memory (LSTM) models on Analytics Zoo.
Автор: Jason Dai (Intel) Последнее обновление: 30.05.2019 - 14:00
Article

Speed Big Data Analytics on the Cloud with an In-Memory Data Accelerator

A performance comparison of three big data workloads running on a traditional on-premise configuration with that of disaggregated cloud storage.
Автор: Xue, Chendi (Intel) Последнее обновление: 05.07.2019 - 19:42