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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, August 4, 2021 9:00 am PDT
#oneAPI

Comparing the Benefits of CPUs, GPUs, and FPGAs for Your Heterogeneous Workloads

Having multiple types of compute architectures—CPUs, GPUs, and FPGAs—necessitates multiple programming and optimization needs. Find out which kinds of heterogeneous workloads are best suited for each hardware type.

In a heterogeneous compute environment, developers must understand the capabilities and limitations of each architecture to effectively match the appropriate workload to each compute device.

In this session, oneAPI Technical Evangelist Karl Qi will unpack the unique and distinct programming needs of CPUs, GPUs, and FPGAs, including:

  • Comparing and contrasting the architectural differences between CPUs, GPUs, and FPGAs
  • Showing how Data Parallel C++ (DPC++) language constructs are mapped to each architecture
  • Examining the support difference among oneAPI libraries—oneDPL, oneMKL, oneTBB, oneDAL, and more
  • Discussing characteristics of applications best suited for each architecture

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Download the software
Get all of the oneAPI libraries discussed in this webinar as part of the Intel® oneAPI Base Toolkit—a foundational set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.

Resources

  • Sign up for an Intel® DevCloud for oneAPI account—a free development sandbox with access to the latest Intel® hardware and oneAPI software.
  • Explore oneAPI, including developer opportunities and benefits
  • Subscribe to the POD—Code Together is an interview series that explores the challenges at the forefront of cross-architecture development. Each bi-weekly episode features industry VIPs who are blazing new trails through today’s data-centric world. Available wherever you get your podcasts.
Karl Qi, oneAPI Technical Evangelist, Intel Corporation

As an oneAPI technical evangelist, Karl focuses on enabling HPC and AI customers to create the optimal solution for their needs using the Intel® oneAPI toolkits. He has a particular interest in software that can leverage the capabilities of heterogeneous parallel computing environments. Karl has a bachelor’s degree in Electrical Engineering from Cornell University.

Wednesday, August 11, 2021 9:00 am PDT
#oneAPI

Transitioning to a New Era in Compilation Technology: Intel® oneAPI DPC++/C++ Compiler

The Intel® C++ Compiler has been a leading developer go-to for CPUs since 2003. But what about other architecture targets such as GPUs, FPGAs, and others? Join this session to learn about the next generation of this program—the path forward for cross-architecture, standards-driven compilers.

Compilers are the keystone of any software development flow. They transform and optimize your code, targeting it to the architecture of your choice—CPUs, GPUs, FPGAs, and other accelerators.

When it comes to C/C++ (still at the top of the list for most-used programming language), the Intel® C/C++ compiler has been an industry leader for nearly two decades—it launched in 2003.

It has evolved.

Introducing the Intel® oneAPI DPC++/C++ Compiler, a standards-based, cross-architecture code translator built on the power of the LLVM community’s efforts in combination with Intel’s expertise.

Join Compiler Engineer Varsha Madananth to learn about this transition, including:

  • The compiler’s evolution as part of the Intel® oneAPI Toolkits’ latest release
  • The high-level roadmap of this new program
  • How to transition from Intel® C++ Compiler Classic to the LLVM-based DPC++/C++ Compiler

Sign up.

Download the software
Get the Intel® oneAPI DPC++/C++ Compiler as part of the Intel® oneAPI Base Toolkit—a foundational set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.

Resources

  • Sign up for an Intel® DevCloud for oneAPI account—a free development sandbox with access to the latest Intel® hardware and oneAPI software.
  • Explore oneAPI, including developer opportunities and benefits
  • Subscribe to the POD—Code Together <https://connectedsocialmedia.com/category/code-together/> is an interview series that explores the challenges at the forefront of cross-architecture development. Each bi-weekly episode features industry VIPs who are blazing new trails through today’s data-centric world. Available wherever you get your podcasts.
Varsha Madananth, Compiler Technical Consulting Engineer , Intel Corporation

Varsha Madananth is a Compiler Technical Consulting engineer focused on Intel® C++ Compilers. Her expertise is in code modernization using parallel programming techniques like vectorization, threading and heterogenous compute, compiler optimizations, and micro-architecture tuning. She has worked on enabling various customer applications on Intel Processors and GPU.

Varsha joined the Intel ‘s compiler team in 2015. She holds a master’s degree in computer science from University of North Carolina Charlotte and a bachelor’s degree in Electronics and Communication Engineering.

Wednesday, September 15, 2021 9:00 am PDT
#oneAPI

Reduce Cross-platform Programming Efforts and Achieve High-performance Parallel Code with oneDPL

Developing performant cross-architecture applications is largely dependent on using the right tools and libraries. When it comes to the latter, the Intel® oneAPI DPC++ Library is key. Find out how it can optimize your heterogeneous applications.

The Intel® oneAPI DPC++ Library is an alternative software-dev library for creating heterogeneous applications and solutions. Also known by the short name oneDPL, it complements the Intel® oneAPI DPC++ Compiler by providing high-productivity APIs based on familiar standards, including C++ STL, Parallel STL, and SYCL.

Join Intel Senior Product Manager Thorsten Moeller for an overview of oneDPL, including:

  • What it is
  • How it can help maximize productivity and performance across XPU architectures—CPUs, GPUs, and FPGAs
  • How to use its pre-optimized data parallel algorithms to improve XPU application performance
  • Real-world use cases

Register now.

Get the software
The Intel® oneAPI DPC++ Library is part of the Intel® oneAPI Base Toolkit. Find out more. Download now.

Resources

  • Sign up for an Intel® DevCloud for oneAPI account—a free development sandbox with access to the latest Intel® hardware and oneAPI software.
  • Explore oneAPI, including developer opportunities and benefits
  • Subscribe to the POD—Code Together is an interview series that explores the challenges at the forefront of cross-architecture development. Each bi-weekly episode features industry VIPs who are blazing new trails through today’s data-centric world. Available wherever you get your podcasts.
Thorsten Moeller, Senior Product Manager, Intel Corporation

Thorsten Moeller is a Senior Product Manager for Intel software development tools focused on Edge/IoT and heterogeneous computing environments.Joining Intel in 2005, he has over 20 years’ experience in the areas of embedded system software, mobile, and enterprise computing, and worked at companies including SAG Systemhaus GmbH, Software AG, and Sarvega, Inc. Thorsten has an MSc in Computer Science from the University of Applied Sciences Frankfurt.

Wednesday, September 22, 2021 9:00 am PDT
#oneAPI

Optimize and Accelerate Video Pipelines across Architectures

Get the 4-1-1 on the new features and capabilities of oneVPL, a versatile and powerful library for accelerating video processing across a wide range of x-architecture processing units—CPUs, GPUs, FPGAs, and other accelerators.

Video is a primary way we interact with the world, whether via broadcasting and streaming, in-cloud gaming, or remote desktop solutions. In all cases, video codecs are the lynchpin that allow it all to happen.

This webinar focuses on the Intel® oneAPI Video Processing Library (oneVPL), a single, video-focused API for encoding, decoding, and video processing across CPUs, GPUs, FPGAs, and more.

Join Technical Consulting Engineer Mark Liu to tour the highlights of oneVPL and how it can help you unlock media features across a broad range of accelerators. Topics covered:

  • oneVPL’s enhanced features, including new C++/Python APIs and HEVC encode capabilities (10-bit, 4-2-2, 4-4-4)
  • An exploration of graphics hardware interoperability
  • How to identify and enable new hardware targets, including accessing new and pre-release development systems in the Intel® DevCloud
  • Hyper Encode

Sign up.

Download the software

  • Get the Intel® oneAPI Video Processing Library as part of the Intel® oneAPI Base Toolkit—a foundational set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.
  • Want oneVPI standalone? Get it here

Resources

Mark Liu, Technical Consulting Engineer, Intel Corporation

Mark is a Technical Consulting Engineer focused on optimizing and training customers on software developer products specific to the media and virtual reality realm, including Intel® Media SDK and Intel® oneAPI Video Processing Library (beta). Mark joined Intel in 2010 and holds a master’s degree in Electrical and Computer Engineering from Oregon Graduate Institute of Science and Technology.

Wednesday, September 29, 2021 9:00 am PDT
#DataScience

Launch Accelerated, Cross-Architecture-Ready AI Workloads in One Click

Machine learning development has come a long way. But for data scientists and developers, configuring all the custom “stuff” necessary to run AI workloads can cause workflow delays and bottlenecks. This webinar unpacks a collaborative one-click solution. For reals.

Building, installing, configuring, and running machine learning workloads can require specific expertise and take hours (or days) to perform.

This session showcases the benefits of a collaborative solution to the problem:

  • the cnvrg.io platform —an end-to-end ML platform to build and deploy AI models at scale and;
  • Intel’s oneContainer Portal—offering containerized software and software stacks including access to Intel oneAPI toolkits across domains such as AI, HPC, and IoT.

Join Technical Marketing Engineer Beth Dean for an overview of this effort, including:

  • The integration between them for AI/ML workloads
  • An overview of the cnvrgio.io platform for AI/ML deployments
  • Intel oneContainer Portal AI/ML solutions available
  • Demonstration of containerized end-to-end ML model deployments

Sign up.

Download the software
Get the Intel® oneAPI AI Analytics Toolkit—a collection familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel® architectures.

Resources

  • Sign up for an Intel® DevCloud for oneAPI account—a free development sandbox with access to the latest Intel® hardware and oneAPI software.
  • Explore oneAPI, including developer opportunities and benefits
  • Subscribe to the POD—Code Together is an interview series that explores the challenges at the forefront of cross-architecture development. Each bi-weekly episode features industry VIPs who are blazing new trails through today’s data-centric world. Available wherever you get your podcasts.
Beth Dean, Technical Marketing Engineer, Intel Corporation

Beth Dean has 20 years’ experience working at Intel Corporation as a Technical Marketing Engineer, evangelizing Intel solutions, and helping customers build products. She’s worked with customers of the Connected Home Division, building smart home solutions. She moved into the Software and Advanced Technology Group to focus more on the software side of product development, and has been working with engineering teams to support development and deployment of the System Stacks for Linux OS, where she has created demos and tutorials for using these containerized solutions.

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