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Sharpen your technical skills, get expert answers to specific questions, or dive into an entirely new area of development with webinars designed to deliver the goods.

Sign up today to attend LIVE SESSIONS covering the latest overviews, insights, and how-to’s on today's central and evolving topics—AI, DC, DL, HPC, IoT, ML, oneAPI, and other essential acronyms—that you can use right away.

Miss a session? No problem. All past sessions can be accessed on-demand for your convenience. (All webinars are available 2 days after they air live.)

Wednesday, July 15, 2020 9:00 am PDT

Write Once and Deploy Inference across the Latest Intel® Architectures

In the AI world—as in life—“inference” is deducing a conclusion from indirect evidence. Add deep learning into the mix, and inference becomes a potent and effective tool in our compute arsenal. Find out how a free Intel toolkit can scale your inference apps.

The power of AI continues to shift from potential to reality, driving a sea change in nearly every major industry.

If that weren’t enough, compute architectures also continue to shift, moving from yesterday’s CPU- and GPU-only platforms to today’s heterogeneous setups.

But you knew that already.

What you may not know is that the Intel® Distribution of OpenVINO™ toolkit was designed specifically to help developers deploy AI-powered solutions across the heterogeneous landscape—combinations of CPU, GPU, VPU, FPGA—with write-once-deploy-anywhere flexibility.

In this webinar, technical consulting engineer Munara Tolubaeva will showcase the OpenVINO toolkit and its core role in AI application and solution development. Topics covered:

  • How it can be used to develop and deploy AI deep learning applications across Intel® architecture—CPUs, CPUs with Intel® Processor Graphics, Intel® Movidius™ VPUs, and FPGAs
  • Cross-architecture deployment of your apps and solutions with little to no code re-writing
  • Innovative improvements from the hardware and software stacks

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Munara Tolubaeva, Software Technical Consulting Engineer, Intel Corporation

Munara Tolubaeva is a Senior Technical Consulting Engineer at Intel responsible for enabling customers to be successful on Intel platforms through the use of Intel software. She specializes in areas like high performance computing, AI and deep learning, performance analysis and optimization, compilers and heterogeneous computing. She holds a PhD in Computer Science from University of Houston.

Wednesday, July 22, 2020 9:00 am PDT

Analyze System Power & Thermal Behaviors

High-performance, data-centric systems—and the applications that run on them—are hot. Literally. I.e., they put out and burn up a lot of power and thermal energy. Find out how to analyze where and why they do it … and how to mitigate it.

Intel® System Studio offers a lot of versatility for a lot of developers—from those focused on device manufacturing to system integration to IoT app development.

This webinar looks at system and application power and thermal analysis using Intel® SoC Watch, which is included in the tool suite.

Join tech specialists Joel Lin and Thorsten Moeller for a full-spectrum overview of this in-depth energy-analysis tool, including:

  • How to achieve maximum performance in a given power budget
  • Quickly analyzing thermal throttling-induced performance slowdown
  • Analyzing workload impact on system thermals
  • How to optimize system and platform design
  • Optimizing for maximum possible system load without triggering temperature and thermal limits
  • Analyzing energy footprint for various compute sub-systems in a heterogeneous configuration
  • Monitoring system/component energy data and temperature metrics

It will be a packed hour. Come with questions ready.

Sign up now.

Get the software

Be sure to download the latest edition of Intel® System Studio, FREE. (The free license is backed by community forum support.)

Joel Lin, Software Technical Consulting Engineer, Intel Corporation

Joel is a Technical Consulting Engineer specializing in power and performance analysis tools for the Embedded/IoT segment. His 10+ years of software development experience spans drivers, media codecs, and performance optimizations on Windows* and Linux* operating systems.

Joel holds a Master’s of Science in Computer Science from National Chiao Tung University in Taiwan.

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