Get Your Code Future-Ready with FREE Technical Webinars

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

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

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

• Intel® oneAPI Base Toolkit— a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.
• Intel® FPGA Add-On for oneAPI Base Toolkit— a specialized component for programming reconfigurable FPGA devices.

Additional resources

• Intel® FPGAs and SoC FPGAs
• FPGA Software: Define Your Design Methodology
• How to Program Your First FPGA Device
• Free eBook: FPGAs for Dummies

Duncan MacKay
Software Technical Product Manager, Intel