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This month we feature some items that were showcased at E3 2017, including the new Intel® Core i9 Extreme Edition processor, the new multiplayer virtual reality eSport game, Echo Arena, and more.

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Optimize Matrix Operations using the Intel® Math Kernel Library (Intel® MKL)

Last updated: June 28, 2017Video length: 1min

Shows Intel® Math Kernel Library (Intel® MKL) performance by comparing a triply nested loop to a DGEMM routine.

Perform and Understand I/O Profiling

Last updated: June 28, 2017Video length: 54min

Learn about tools available for understanding I/O patterns. Understand output in context of the portable operating system interface for Unix* (POSIX) file system behavior and burst buffers.

Software Defined Visualization (SDVis): Get the Most Out of ParaView* with OSPRay

Last updated: June 28, 2017Video length: 1hr 43min

This tutorial is an introduction to rasterization and ray tracing. Get an overview of open-source software packages for the open-science community.

Optimization of Profrager, a protein structure and function prediction tool

Last updated: June 28, 2017Video length: 38min

Optimization of Profrager, a protein structure and function prediction tool

Improve Vectorization Efficiency

Last updated: June 28, 2017Video length: 49min

Watch a demonstration on analyzing memory access patterns.

Use C++ and Intel® Threading Building Blocks (Intel® TBB) for Hardware Programming

Last updated: June 28, 2017Video length: 50min

Explore an alternate approach for achieving gains in hardware performance.

Everything You Need to Know About the Intel® MPI Library

Last updated: June 28, 2017Video length: 45min

This session helps beginner and intermediate users understand the capabilities in the Intel® MPI Library.

A Library for Emerging High-Performance Computing Clusters

Last updated: June 28, 2017Video length: 58min

Analyze opportunities and challenges with designing efficient runtimes for applications on high-performance computing (HPC).

Manycores for the Masses

Last updated: June 28, 2017Video length: 50min

The National Energy Research Scientific Computing Center (NERSC) explains their optimization strategy for porting codes to Intel® Xeon Phi™ processors.

Optimize a Classic Graph Algorithm Using Intel® C++ Compiler

Last updated: June 28, 2017Video length: 2min

Explore how to increase performance of this classic graph algorithm using thread-based and explicit vector programming technique. Optimize the C++ sample of Dijkstra’s shortest path graph algorithm using the Intel® C++ Compiler.

Optimize a Loop Centric Application Using Intel® Threading Building Blocks (Intel® TBB)

Last updated: June 28, 2017Video length: 2min

Explore how to increase performance of a Taylor series algorithm using Intel® Threading Building Blocks (Intel® TBB).

Introduction to Software Defined Visualization

Introduction to Software Defined Visualization (SDVis)

Last updated: June 27, 2017Video length: 45min

Learn how software defined visualization (SDVis) supports big data through high-performance computing on clusters.

OSPRay 1.0 and Beyond

OSPRay 1.0 and Beyond

Last updated: June 27, 2017Video length: 45min

Get an overview of updates to OSPRay 1.0.

Following Along With This Series on Docker

Last updated: June 27, 2017Video length: 1min

This video briefly discusses how to best follow along in the Intel® Commercial IoT Lab series, and points you to the Docker compose scripts that will you can use to set up your environment correctly for each lab. This video also directs you to the SSG-DRD-IOT Organization GitHub repo.

About the Path-to-Product Smart Home

Last updated: June 27, 2017Video length: 3min

The value of the smart home comes from addressing a number of homeowner needs. The smart home can ease the tasks of running a home, it can offer experiences that enrich daily life, and it can provide security that creates peace of mind.

Overview of Intel® Commercial IoT Labs

Last updated: June 27, 2017Video length: 4min

The Internet of Things is transforming the way that everyday objects can be integrated into online applications.

IOT Protocols

Last updated: June 27, 2017Video length: 3min

An Intel® IoT Network can be created with many variations of hardware and software. Intel works with other companies to create Intel® based gateway systems. In this video we will use an Intel® NUC, the Grove sensor kit from Seeedstudio and an Arduino 101 to build all the hardware and software components to gather data from sensors, analyze it, and to perform automatic actions within the local IoT network.

Sensors and Actuators Overview

Last updated: June 27, 2017Video length: 2min

What are sensors and actuators? In this video we provide a quick overview of what these are and we also take a closer look at what is provided in the Grove sensor kit.

Input and Output with MRAA

Last updated: June 27, 2017Video length: 2min

In this video you will see how MRAA gives you an easy portable interface when working with sensors and actuators. MRAA is a low-level library written in the C language. The purpose of MRAA is to abstract the details associated with accessing and manipulating the basic I/O capabilities of a platform.

Optimize Single Particle Orbital (SPO) Evaluations Based on B-splines

Last updated: June 27, 2017Video length: 49min

This talk focuses on optimizations for single particle orbital (SPO) evaluations (based on B-splines) for quantum Monte Carlo simulations.

Optimize Machine Learning Workloads on Intel® Platforms

Last updated: June 22, 2017Video length: 46min

This session showcases distributed deep learning on an Intel® Xeon Phi™ processor cluster with Intel® Omni-Path Architecture.

Data Analytics and Simulation in Parallel with MATLAB*

Last updated: June 22, 2017Video length: 46min

Explore the MATLAB* language's parallel capabilities.

Scale Deep Learning

Last updated: June 22, 2017Video length: 29min

This session discusses how to find good multiple-CPU performance with Theano* and TensorFlow*, how to extend a single-machine model with MPI, and how to optimize its performance as we scale out and up.

What Should You Look For in Data Science, Analytics, and Machine Learning: Analytics Tutorial Series

Last updated: June 21, 2017Video length: 2min

In the sixth and final video of the Analytics Tutorials we talk about what to look for in data science, analytics and machine learning when applying them in real life. Every industry is capable of having analytics and machine learning applied to solve problems – the challenge is doing them correctly and repeatedly!

What Are The Myths Associated with Analytics and Machine Learning?

Last updated: June 21, 2017Video length: 3min

In the fifth video in the Analytics Tutorials we discuss the many myths associated with analytics and machine learning, and how to debunk them.

What Are Other Terms Associated With Machine Learning: Analytics Tutorial Series

Last updated: June 21, 2017Video length: 3min

In the fourth video in the Analytics tutorial we talk about some other terms associated with machine learning.

What is Machine Learning: Analytics Tutorial Series

Last updated: June 21, 2017Video length: 4min

In the third video of the Analytics Tutorials we discuss Machine Learning, the action of automating analytics that learn over time using computers.

How Has Data Science Evolved: Analytics Tutorial Series

Last updated: June 21, 2017Video length: 3min

In the second video of the Analytics Tutorial Series we discuss how data science has evolved.

What is Data Science: Analytics Tutorial Series

Last updated: June 21, 2017Video length: 2min

In the first video of the Analytic tutorials we talk about data science! Data Science is the confluence of math, statistics, hardware, software, the domain (or market segment) and data management.

BigDL Overview

Last updated: June 9, 2017Video length: 2min

This video provides an overview of the BigDL distributed deep learning framework for Apache Spark*.

Installing Ubuntu* on the Intel® Joule™ Compute Module

Last updated: June 7, 2017Video length: 2min

Visual walk-through of the procedure to install Ubuntu* on the Intel® Joule™ compute module with the Intel® Joule™ developer kit.

Flashing the BIOS on the Intel® Joule™ Compute Module

Last updated: June 6, 2017Video length: 2min

Visual walk-through of the procedure to flash the BIOS on the Intel® Joule™ Compute Module with the Intel® Joule™ developer kit.

HPC Applications Need High-Performance Analysis

Last updated: June 5, 2017Video length: 41min

Explore HPC performance characterization analysis to gain actionable insight into how efficiently compute-intensive applications use system resources

Accelerate Application Performance with OpenMP* and SIMD Parallelism

Last updated: June 2, 2017Video length: 49min

Using the OpenMP* programming model, we’ll work on and optimize sample multi-threaded code, and illustrate best practices for efficiency and speed ups.

AI News: June 2017

Last updated: June 1, 2017Video length: 2min

This episode of AI News we tell you where you can sign up to learn about some changes in TensorFlow, look at some new Microsoft Azure announcements, and point you to where you can learn how to set up a production-ready machine learning workflow with Intel Nervana technology, neon, and Pachyderm. We also introduce you to the Intel Student Developer Program.

Recurrent Neural Networks

Last updated: May 22, 2017Video length: 26min

The importance of recurrent neural networks for sequence data. Review LSTMs and GRU architectures.

Convolutional Neural Networks

Last updated: May 22, 2017Video length: 27min

Introduce the convolutional neural networks.

neon™ Workflow

Last updated: May 22, 2017Video length: 14min

Explains how to construct models and use command line arguments to customize training runs.

Tutorial: Building and Training Recurrent and Convolutional Neural Networks

Last updated: May 22, 2017Video length: 1hr 7min

 This session is targeted at data scientists and researchers interested in taking deep learning to the next level of speed and scalability. The tutorial covers how to use neon™ to build and train Recurrent Neural Networks to generate text, and Convolutional Networks to perform image classification.

Lecture Series: Building and Deploying with neon™

Last updated: May 22, 2017Video length: 1hr 18min

Using hands-on exercises and tutorials, this meetup will showcase how deep learning can be quickly applied to image, video and natural language processing problems with the aim of providing participants the knowledge they would need to get started on their datasets.

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