Get Performance Tailored for YOUR IoT Platform – Intel® System Studio 2019

The Internet of Things is a big tent that includes staggering numbers of physical objects and devices and systems—what Gartner calls “an intelligent digital mesh”1.

And it’s big business, whether you’re a device manufacturer, system integrator, or application developer.

Intel® System Studio 2019 can help you move your IoT innovations from prototype to product, with new components for speeding development, strengthening system reliability, and pumping up performance and power efficiency.

Join Intel Technical Consulting Engineer Noah Clemons for a tour of the new tool suite, with specific focus on using it to write great code tailored for your IoT platform of choice.

He’ll cover:

  • Improved performance with updated Intel® Performance Libraries containing custom-built optimizations for the latest Intel® IoT platforms
  • New workflow and simplified setup of Intel® VTune™ Amplifier
  • An overview of the now-included Intel® Advisor which provides vectorization, optimization, and threading design tools
  • Enhancements to Intel® System Debugger with Intel® Processor Trace and Intel® Debug Extensions for WinDbg

You’ll leave the session able to identify one or two interesting ways to speed up your development workflow and accelerate code performance.

Get the software
If you haven’t yet, download these tools so you can follow along. They’re free.

1. Gartner Top 10 Strategic Technology Trends for 2018

Noah Clemons, Technical Consulting Engineer, Intel Corporation

Noah Clemons is a Staff Technical Consulting Engineer whose specialty is teaching customers how to use Intel® Performance Libraries and various programming models to obtain maximum processor utilization across all lines of Intel® processors. Additionally, he supports Intel® Architecture-based embedded and IoT software development tools worldwide, and is a recipient of the Intel® Developer Zone Black Belt Award for excellence in teaching across the diverse range of Intel programming models.

Noah holds a Master’s Degree in Computational Mathematics from University of Chicago.

Performance varies by use, configuration, and other factors. Learn more at www.Intel.com/PerformanceIndex.