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Intel Deep Learning SDK Powers “Intelligence of Things”

This video gives a visual overview of the Intel® Deep Learning SDK, a free set of tools for data scientists and software developers to develop, train, and deploy deep learning solutions. The SDK’s all-in-one UI encompasses a training tool and a deployment tool that can be used separately or together …

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What’s New in Intel Python Update 2?

The 2nd update to Intel Python (1.2) came out in February 2017. As well as updates to many packages there are 17 new Python packages included. These have been selected by Intel and where possible optimized to work with the Intel Math Kernel Library (Intel MKL), Intel Thread Building Blocks …

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Creating Games with Intel Tools Part 4: Wrapping It Up

Scoring and enemy movement wrap up Rick’s game, which takes advantage of parallel processing Over the past month, Contributing Editor Rick Leinecker has demonstrated how to create a simple game that takes advantage of multiple CPU cores. Now, in the final instalment, Rick wraps it all up in a functioning game. …

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tbb2

Making The Most Of Heterogeneous Cores With Intel TBB

Computing platforms are becoming increasingly heterogeneous with the combination of CPUs, GPUs, FPGAs, co-processors, and domain-specific compute engines. But programming to take advantage of these heterogeneous environments in a single application remains a challenge. This video provides a brief overview of the heterogeneous capability of Intel® Threading Building Blocks (Intel® …

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Parallel Programming At Your Fingertips with Intel TBB – part 1

In this video you will get an overview about Intel® Threading Building Blocks also known as Intel® TBB. Intel® Threading Building Blocks (Intel® TBB) is a widely used C++ library for shared-memory parallel programming and heterogeneous computing (intra-node distributed memory programming). The library provides a wide range of features for …

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Creating Games with Intel Tools Part 3: Chasing the Player

How easy is it to develop a game with Intel tools? In the third installment of this four-part series, Slashdot Media Contributing Editor Rick Leinecker fine-tunes the A* paths, and demonstrates double buffering. Want to try it yourself? Rick’s project code can be downloaded from Sourceforge at this link.

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game design

Game Design with Intel Tools Part 2: Parallelizing A* Algorithm

This blog is the second in a four-part series in which the Intel software development tools are used to develop a game. The first blog in the series uses Intel Performance Primitives (IPP) to perform image processing for the game’s splash screen. The first article can be found here. The …

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deep learning ai

Models, Frameworks Accelerate Deep Learning for Enterprise Big Data

Deep Learning is the cutting edge of AI, but proven data and deployment models and available frameworks make it a solid practical choice for advanced analytics Deep learning techniques are advancing artificial-intelligence based analytics far enough that a team of researchers at MIT has succeeded in getting a computer to …

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game design

Creating Games Using Intel Tools, Part 1: Starting With Splash Screens

New visualization tools and libraries can simplify the creation of games, and support the gamification of IT. In this four-blog you’ll see how a game is creates from start to finish   Intel has tools that can help create sizzling games. This blog is the first in a series of …

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Getting Started with PyDAAL on Linux

Data mining and machine learning are just two of the in-high-demand functions that PyDAAL can ease coding for. Read this blog by David Bolton to learn how to get started. The package PyDAAL is Intel’s Data Analytics Acceleration Library (DAAL) for python and provides interfaces to it. DAAL provides building …

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