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英特尔® 数据分析加速库

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Authored by James R. Last updated on 03/27/2017 - 20:43
Blog post

Announcing the Intel® Distribution for Python* Beta

The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.

Authored by Robert C. (Intel) Last updated on 02/03/2017 - 16:43
Blog post

Scope Oriented Programming

There is a long discussion talking about the advantages of Procedural Programming vs. the advantages of Object Oriented Programming.

Authored by Asaf Shelly Last updated on 01/26/2017 - 00:49
Blog post

Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Authored by James R. Last updated on 01/26/2017 - 00:49
Blog post

Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel® TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

Authored by Sharmila C. (Intel) Last updated on 01/04/2017 - 14:42
Blog post

Fun with Intel® Transactional Synchronization Extensions

By now, many of you have heard of Intel® Transactional Synchronization Extensions (Intel® TSX).

Authored by Wooyoung Kim (Intel) Last updated on 12/29/2016 - 15:02
Blog post

Reducing boilerplate code in parallelized loops with C++11 lambda expressions

The C++11 standard, formerly known as C++0x, brought lambda expressions, and their usage greatly reduces boilerplate code. Intel® C++ compiler allows us to take advantage of lambda expressions to reduce boilerplate code when parallelizing loops with Intel® Threading Building Blocks (Intel® TBB).
Authored by gaston-hillar Last updated on 12/05/2016 - 16:57
Blog post

MICRO48-Tutorial on Intel® Processor Graphics: Architecture and Programming

In this tutorial, we will give an in-depth presentation of the architecture and micro-architecture of the media and graphics accelerator. We will explain the tradeoff between general purpose compute and hardware fixed functions. We will discuss the advantages and disadvantages of on-die integration. We will present the various programming models that are supported. We will present some...
Authored by Chi-keung Luk (Intel) Last updated on 09/28/2016 - 15:57
Blog post

Intel® Parallel Studio XE 2016: High Performance for HPC Applications and Big Data Analytics

Intel® Parallel Studio XE 2016, launched on August 25, 2015, is the latest installment in Intel's developer toolkit for high performance computing (HPC) and technical computing applications. This suite of compilers, libraries, debugging facilities, and analysis tools, targets Intel® architecture, including support for the latest Intel® Xeon® processors (codenamed Skylake) and Intel® Xeon Phi™...
Authored by James R. Last updated on 09/02/2016 - 12:16
Blog post

Advanced Computer Concepts for the (Not So) Common Chef: The Multi-core Industrial Kitchen

This is going to be a short blog as there is no new material to discuss, just a simple extension of the earlier blogs (see

Authored by Taylor IoT Kidd Last updated on 08/12/2016 - 14:52
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