Get Your Code Future-Ready with FREE Technical Webinars

Sign up today to attend LIVE SESSIONS covering the latest overviews, insights, and how-to’s on topics that drive our cross-architecture, heterogeneous-compute world—oneAPI, AI, HPC, rendering & ray tracing, video & media, IoT, and more.

Please select at least one session.
Please select at least one option.

Optimize AI with Powerful Drop-In Acceleration from Intel & RedHat

Wednesday, August 17, 2022 | 9:00 AM PDT

Learn the power of drop-in acceleration for popular frameworks such as TensorFlow and pandas … so you can focus on improving your models and gaining insights throughout the AI cycle.

 

Data-intensive intelligent applications play a key role in helping organizations provide personalized user experiences to stay competitive.

No surprise, right?

But it ain’t easy because these applications often span cloud providers, in-house datacenters, and edge devices.

Enter the Intel and RedHat partnership, which enables Intel’s most popular AI developer optimizations on RedHat OpenShift Data Science—a cloud service that gives data scientists and developers a powerful AI/ML platform for building intelligent applications.

In this session, you will:

  • Learn how to utilize the Intel® AI Analytics Toolkit (AI Kit) on Red Hat OpenShift Data Science for great performance and AI opportunities without complex cloud infrastructure set-up
  • Learn how Intel and RedHat have partnered to enable Intel’s most popular AI developer optimizations on RedHat OpenShift Data Science
  • Understand the power of drop-in acceleration for popular frameworks such as TensorFlow and pandas while eliminating complex Kubernetes cloud and infrastructure setup
  • Experience the performance and ease-of-use of the AI Kit on RedHat via a live demo

Sign up today.

Featured software
This webinar features the Intel® AI Analytics Toolkit—familiar Python tools and frameworks to accelerate end-to-end data science and analytics pipelines.


 
Rachel Oberman
AI Technical Consulting Engineer, Intel

Preethi Venkatesh
Technical Consulting Engineer, Intel

Audrey Reznick
Senior Principal Software Engineer, RedHat Cloud Services

Read more +

Profile Your Production Java Workload in the Cloud

Wednesday, August 24, 2022 | 9:00 AM PDT

Java developers and performance engineers: overcome the challenges of analyzing and optimizing your cloud (public, private, or both) workloads.

 

Profiling Java workloads for the cloud can be challenging. Common reasons: they are generally long-running services, are launched by a scheduler/orchestrator using a headless user account, and/or must be profiled in a production environment because it’s hard to create a comparable test environment.

This session shows you how Intel® VTune™ Profiler can remove these obstacles, whether your applications are run in public, private, or hybrid cloud environments.

You will learn how to:

  • Set up VTune Profiler for remote cloud profiling (i.e., VTune server vs remote collection)
  • Profile your running Java process with minimal overhead
  • Review VTune results to understand where performance can be improved and/or to find and fix bottlenecks

Bonus: Includes a demo of the VTune Flame Graph feature to detect hotspots and hot code paths in Java workloads.

To get the most from this session, you should have a basic understanding of JDK/JVM and how configurations can impact performance.

Sign up today.

Featured software
Get Intel® VTune Profiler standalone or as part of the Intel® oneAPI Base Toolkit— a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.


 
Cory Levels
Technical Consulting Engineer, Intel

Jennifer DiMatteo
Technical Consulting Engineer, Intel

Read more +

Transform C/C++ Code into a Performant FPGA Implementation

Wednesday, August 31, 2022 | 9:00 AM PDT

Learn how to migrate your C/C++ code to SYCL with oneAPI so it not only targets FPGAs, but also GPUs and CPUs with the same code.

 

FPGAs are incredibly versatile accelerators; their core attribute is having adaptable logic blocks that can be connected in multiple ways to perform massively parallel, real-time processing.

In this session, you will learn how to accelerate your existing C and C++ functions using Intel® FPGAs, including:

  • The fundamentals of building an accelerator
  • A demonstration of how to capture your existing C/C++ code in SYCL for use with oneAPI to produce a high-performance FPGA implementation … and also target CPUs and GPUs

Sign up today.

Featured software

Additional resources


 
Duncan MacKay
Software Technical Product Manager, Intel

Read more +

Register to save your seat

Required Fields(*)

Please enter a first name.
First name must be at least 2 characters long.
First name must be less than 250 characters long.
Please enter a first name.
Please enter a last name.
Last name must be at least 2 characters long.
Last name must be less than 250 characters long.
Please enter a last name.
Please enter an email address.
Please enter a valid email address.
Email Address must be less than 250 characters.
Please enter a company name.
Company name must be at least 2 characters long.
Company name must be less than 250 characters long.
Please enter a company name.
Please select a country.
Your registration cannot proceed. The materials on this site are subject to U.S. and other applicable export control laws and are not accessible from all locations.
Please select a developer role.
Please select a profession.
Please select at least one development language.
Please select at least one option.
Please select an industry.
Please select at least one operating system.

By submitting this form, you are confirming you are an adult 18 years or older and you agree to share your personal information with Intel to use for this business request. You also agree to subscribe to stay connected to the latest Intel technologies and industry trends by email and telephone. You may unsubscribe at any time. Intel’s web sites and communications are subject to our Privacy Notice and Terms of Use.