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If you’re looking to sharpen your technical skills, get expert answers to specific questions, or dive into an entirely new area of development, you’ve come to the right place.

Sign up today for the latest overviews, insights, and how-to’s on today's central topics—AI, DC, HPC, IoT, and other essential acronyms—that you can use right away.

Wednesday, Nov 14, 2018 9:00 am PST
#DataCenterCloudComputing

Manage Your Data Center ... Right Out of the Box

Is your data center out of control? According to the latest Redshift survey, it just might be. Too expensive. Too hot. Too inefficient. But there’s a better way. It’s called Intel® Data Center Manager. And you can try it free for 30 days.

Does the shift from on premise, private clouds to co-location and public/hybrid clouds demand more visibility and operational control than you think you can deliver?

Magic 8-Ball says, “Most likely.”

Fortunately, Intel’s data center management tools keep a vigil on power, thermal consumption, server health, and utilization, allowing better control no matter your cloud’s shape.

In this session, learn how Intel® Data Center Manager (Intel® DCM) and Intel® Resource Director Technology (Intel® RDT) work hand-in-hand to enable real-time monitoring and precise management that lower operational costs and optimize infrastructure for today … even as you’re forecasting for tomorrow.

“You may rely on it.”

Try Intel DCM for yourself, free for 30 days. Go get it.

George Clement, Application Engineer, Intel Corporation

As an 18-year Intel veteran, George’s specialty has always been the data center—from IT and commercial implementations to efficient utilization and capacity management to business continuity processes. He currently works on the company’s Data Center Manager team which focuses on extracting power and thermal data from servers, and supporting infrastructure so that data center managers can assess real-time utilization from a single console or API. George earned a Master’s degree in Information Systems from Stayer University, Washington D.C. In his spare time he’s learning Spanish and trying to keep up with his 3 young daughters.

Wednesday, Nov 28, 2018 9:00 am PST
#VisualComputing

OpenMP and TBB Task Graphs: Unraveling the Spaghetti with Flow Graph Analyzer

Realize the true power of task graphs! Find out how Intel® Advisor’s Flow Graph Analyzer delivers real-time visualizations of your parallel programs … and why you should care. A lot.

With parallel programming models here to stay, task-based programming has become increasingly common in both mainstream and computationally complex applications. Programming models such as Threading Building Blocks (TBB) flow graph API, OpenMP tasking API, or specialized models—SYCL*, OpenCL* and OpenVX*—give programmers the right level of abstraction to build algorithms that take advantage of task-based programming and realize the performance of the underlying system.

In this talk, we’ll present the Intel® Advisor Flow Graph Analyzer—a powerful feature that uses task graphs to help you visually analyze your parallel applications, either explicitly through TBB flow graph API or implicitly through OpenMP depends clause.

In 55 minutes, you will:

  • Get an overview of Intel® Advisor FGA
  • See relevant demonstrations, including using the feature to optimize the structure and performance of computational graphs
  • Learn how to capture traces from running applications
  • Understand the scalability exhibited by the graph
  • Calculate your application’s critical paths
  • And more

Come with your software installed and your questions ready.

Intel Advisor is available as part of Intel® Parallel Studio XE and Intel® System Studio suites of development tools. Try them both free now.

Vasanth Tovinkere, Software Engineer, Intel Corporation

Vasanth Tovinkere is a software engineer in Intel’s Developer Products Division. With the company for over 20 years, his work has spanned an impressive gamut—from building research prototypes and products for Wall Street multi-processor “early adopters” to developing automatic semantic event detectors for digital sports technologies (for which he holds a patent). Vasanth is currently responsible for exploring heterogeneous and distributed compute models and new visualization approaches to performance tuning/debugging, and he is the architect of Intel® Advisor Flow Graph Analyzer. Prior to joining Intel, he was involved in the development of automated fuzzy pattern recognition algorithms for NASA’s Mission to Planet Earth Program.

Wednesday, Dec 12, 2018 9:00 am PST
#CodeModernization

Under What Conditions will My Application give Reproducible Results?

When it comes to binary floating-point representation, Uncertainty rules. Need reproducible results, regardless of context? Hahaha … what? Oh. Turns out Intel® Software Dev Tools can make it happen. Especially its five FREE Performance Libraries. Go get them. Then tune in.

Users are often surprised when the same application run on the same data doesn’t give the same result. (WTH?) Welcome to floating-point arithmetic—an inexact and inherently uncertain approximation that’s great … except for when it isn’t. Like for critical functions that require exact reproducibility such as finance, quality assurance, and legal stuff.

This webinar addresses the dilemma and shows you how to build a serial application that delivers repeatable results …

  • When simply rerunning the same binary executable
  • For debug builds and release-optimized builds
  • When targeting or running on different processor types

In addition, learn the conditions under which reproducible results can be obtained for parallel applications making use of the Intel® Compiler with OpenMP* and key Intel® Performance Libraries: Intel® Math Kernel Library, Threading Building Blocks, and Intel® MPI.

Martyn Corden, Technical Consultant Engineer, Intel Corporation

Martyn Corden is a Technical Consulting Engineer in the Developer Products Division at Intel Corporation. He provides technical support for Intel® Fortran and C/C++ compilers for Windows*, Linux* and macOS*, with particular focus on HPC applications. Martyn came to Intel from the Supercomputer Computations Research Institute at Florida State University, where he had extensive experience with high-performance scientific applications. He has many years’ experience in writing, debugging, maintaining, porting and optimizing software for high-energy physics, including for several experiments at CERN in Geneva. Martyn holds a BA in Physics from Oxford University and a Ph.D. in High Energy Physics from the University of Birmingham.

Wednesday, Jan 9, 2019 9:00 am PST
#SystemsIoT

Accelerating the Heterogeneous World with OpenCL*

OpenCL* offers huge benefits to a wide range of applications—big hitters are portability and efficient execution (including power usage). Is it easy to learn? No. Which is why Intel has a free SDK that makes it far easier.

OpenCL* (Open Computing Language) is a well-known and attractive standard for writing parallel programs that execute across a rich mix of heterogeneous platforms—for example, those that consist of CPUs, GPUs, FPGAs, programmable ASICs, and other hardware accelerators.

And unless you’ve been hunkered down in a wifi-deficient cave for the past year, you’re likely quite familiar that the need for OpenCL programs is growing. Fast.

Which is why you should register for this session.

In 55 minutes, you’ll learn the value of using OpenCL to take advantage of modern heterogeneous architectures, including:

  • Why OpenCL matters for achieving optimal performance and decreasing power consumption
  • How to get started with OpenCL
  • An overview of the Intel® SDK for OpenCL* Applications, and how this complete toolset can help you quickly build, debug, and analyze OpenCL kernel codes across Intel® CPUs and GPUs.

Be sure to download the FREE SDK now. Then sign up to attend the webinar.

Serge Lunev, Software Development Engineer, Intel Corporation

Serge is a software development tools architect who specializes in heterogeneous computing, and leads global engineering teams that focus on the tools and technologies driving next-generation software solutions. With Intel since 2004, Serge has over 20 years’ experience in software tools, including translators, compilers, IDEs and, most recently, OpenCL* development workflows.
Serge holds a Master’s of Science in Applied Mathematics from Moscow State University, and a PhD in Computer Science from Moscow Institute of Physics and Technology.

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