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Tuesday, December 17, 2019 9:00 am PST

Introducing a New Tool for Neural Network Profiling & Inference Experiments

Having a workbench is great. Especially when it’s fully stocked with tools and ready-to use. That’s what the new Deep Learning Workbench is for the OpenVINO™ toolkit. Tune in to find out more.

If you use the Intel® Distribution of OpenVINO™ toolkit (even if you don’t … yet), the latest release introduces a new profiler tool to more easily run and optimize deep learning models.

Called Deep Learning Workbench, this production-ready tool enables developers to visualize key performance metrics such as latency, throughput, and performance counters for neural network topologies and their layers. It also streamlines configuration for inference experiments including int8 calibration, accuracy check, and automatic detection of optimal performance settings.

Join senior software engineer Shubha Ramani for an overview and how-to demos of DL Workbench, where she’ll cover:

  • How to download, install, and get started with the tool
  • Its new features, including model analysis, int8 and Winograd optimizations, accuracy, and benchmark data
  • How to run experiments with key parameters such as batch size, parallel streams, and more to determine the most optimal configuration for your application.

Register now.

Get the software
Be sure to download the latest version of Intel® Distribution of OpenVINO™ toolkit so you can follow along during the webinar.

Shubha Ramani, Senior Software Engineer, Intel Corporation

Shubha is a senior software engineer whose specialties span all facets of deep learning and artificial intelligence. In her current role she focuses on the Intel® Distribution of OpenVINO™ toolkit, including helping customers use its full capabilities and building complex DL prototypes. Additionally, she helps customers embrace Intel’s world-class automotive driving SDKs and tools, and develops complex, real-world C++ samples using the Autonomous Driving Library for inclusion in Intel® GO™ automated driving solutions.

Shubha holds an MSEE in Embedded Systems Software from the University of Colorado at Boulder, and a BSEE in Electrical Engineering from Texas A&M University in College Station.

Wednesday, December 18, 2019 9:00 am PST

Intel® Parallel Studio XE 2020 Is Here. Start the New Decade with the Newest Tools.

Intel® Parallel Studio XE 2020 is here, including 8 new features for delivering performant applications and solutions across enterprise, cloud, HPC, AI, and more. Kick start the new decade of development with an overview of the new tool suite.

Whether you develop for multicore or many core systems, parallel programming is essential to ensuring your compute-intense workloads are fast, reliable, and scalable.

Intel® Parallel Studio XE 2020 delivers.

The new suite contains 13 best-in-class tools, including standards-based compilers, award-winning libraries, and innovative analyzers that, together, help ensure best performance on Intel® Xeon® and Intel® Xeon® Scalable processors.

Join Intel Technical Engineer Ron Green for an expanded tour of the 2020 release, where he’ll cover new features and benefits, including:

  • Developing with the latest processor instructions to accelerate AI inferencing with Intel® Deep Learning Boost
  • Optimizing and tuning for new NVMe (non-volatile memory express) technologies such as Intel® Optane DC storage
  • HPC cloud support, including that for AWS* Elastic Fabric Adapter* for high-performance distributed computing
  • Amazon Linux* 2 operating system support
  • Expanded standards support for Fortran 2018 and full support of C++17

Register now.

(Note: the new software will be available on December 18.)

Ron Green, Senior Compiler Technical Support Engineer, Intel Corporation

Ronald W. Green is a senior Compiler Technical Support Engineer in Intel’s Core Performance & Developer Products division, focused on Intel® compilers in the High-Performance Computing (HPC) and Technical Computing segments. He has 30+ years’ experience as an HPC software developer and consultant, has been with Intel’s compiler team since 2008, and has special interest and expertise in parallel application development with a focus on Fortran programming. Ron holds a master’s degree in Computer Engineering from the University of Southern California.

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