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Wednesday, June 3, 2020 9:00 am PDT

Offload Your Code from CPU to GPU … and Optimize It

As developers port applications from CPUs to GPUs, they struggle to identify which code will benefit most from offloading … and how to knock out bottlenecks once migration is done. This webinar shows you how.

Locating and removing bottlenecks is an inherent challenge for every application developer. And it’s made more complex when porting an app to a new platform … say, from a CPU to a GPU. Developers who do that not only must identify bottlenecks, they must figure out which parts of the code will benefit from offloading in the first place.

In this webinar, software optimization expert Kevin O’Leary discusses how the Intel® oneAPI beta version of Intel® Advisor helps developers remove these new CPU-to-GPU porting obstacles.

He’ll cover:

  • Offload Advisor—a command-line feature of the beta product that projects performance speedup on accelerators and estimates offload overhead
  • GPU Roofline Analysis—a technical preview that identifies bottlenecks in GPU-ported code and shows how close its performance is to system maximums
  • A Demo—get a walkthrough of a matrix multiplication example to learn how the above features can help you optimize application efficiency for GPUs

Technical Level: Intermediate

Register now.

Get started with oneAPI

  • Download Intel® Advisor (beta) as part of the Intel® oneAPI Base Toolkit—an essential set of 15 software development tools and libraries optimized for diverse workloads and architectures.
  • Develop in the Cloud—Sign up for an Intel® DevCloud account, a free development sandbox with access to the latest Intel® hardware and oneAPI software.

More Intel® Advisor (beta) resources

Kevin O'Leary, Lead Technical Consulting Engineer, Intel Corporation

Kevin O’Leary is a Senior Software Developer and Lead Technical Consulting Engineer whose expertise includes compilers, debuggers, and software performance tools. He’s currently responsible for performance optimization using Intel® Advisor and Intel® VTune™ Profiler and was a key developer of the Intel® Parallel Studio XE development suite. Prior to joining Intel, Kevin spent many years as a debugger engineer for IBM/Rational Software.

Kevin holds a Bachelor’s in Computer Science from University of Massachusetts and a Master’s in Computer Science from Oregon Health and Science University.

Wednesday, June 10, 2020 9:00 am PDT

Profile DPC++ and GPU Workload Performance

If you’ve offloaded an application from CPU to GPU, uncovering how and where to effectively optimize performance can make your eyebrows furl. This webinar demonstrates how a oneAPI beta tool can simplify the process.

Developers who deploy applications across both CPUs to GPUs are often challenged to find the best methods for analyzing and optimizing offload performance.

In this webinar, technical consulting engineer Vladimir Tsymbal demonstrates how it can be done using the Intel® oneAPI beta version of Intel® VTune™ Profiler, a performance analysis tool that takes the guesswork out of cross-architecture performance improvements.

Using a sample application written in Data Parallel C++ (DPC++), Vladimir will demonstrate Intel VTune Profiler (beta) can be used to:

  • Profile DPC++ code running on both host and GPU processors
  • Collect the right data and turn it into rich, easily interpretable analysis
  • Identify the hotspots in your compute kernels, including which are key areas for optimization
  • Show how the GPU resources are being utilized and locate hardware bottlenecks

Technical Level: Intermediate

Register now.

Get started with oneAPI

More Intel® VTune™ Profiler (beta) resources

Vladimir Tsymbal, Intel Senior Technical Consulting Engineer, Intel Corporation

Vladimir Tsymbal is a senior technical consulting engineer who specializes in teaching customers how to use a variety of Intel® Software Tools to develop, tune, and optimize their parallel applications on Intel® Architecture. In particular, his focus is on Intel® Parallel Studio XE product suite and the analysis tools it contains, including Intel® VTune™ Profiler (which he helped develop), Intel® Advisor, and Intel® Inspector.

Prior to joining Intel in 2005, Vladimir worked as a research assistant, and developed hardware graphics accelerators and software and hardware systems for medical diagnostics. He holds a PhD in Mathematics and Computer Science from Taganrog State University of Radio Engineering, Russia.

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