Delivering up to 40 cores per processor, the 3rd generation Intel® Xeon® Scalable processors are designed for compute-intense, data-centric workloads spanning the cloud to the network and the edge.

In this session, Intel engineer Vladimir Tsymbal shows how to optimize you AI and high-performance computing (HPC) applications and solutions to unlock the full spectrum of power in these processors. Topics include:

  • The top-down tuning methodology that uses hardware-performance metrics for Intel Xeon Scalable processors to identify issues including critical bottlenecks caused by data locality, CPU interconnect bandwidth, cache limitations, instructions execution stalls, and I/O interfaces
  • How a high-level HPC characterization analysis helps you find inefficient parallel tasks
  • How to optimize software that uses the latest Intel® Deep Learning Boost with Vector Neural Network Instructions (VNNI)

Get the Software

  • Get all of the tools covered in this webinar as part of the Intel® oneAPI Base Toolkit, a core set of tools and libraries for developing performant applications across diverse architectures.
  • Sign up for an Intel® DevCloud account—a free development sandbox with access to the latest Intel® hardware and oneAPI software.

Other Resources

  • Explore oneAPI, including developer opportunities and benefits
  • Subscribe to the podcast—Code Together is an interview series that explores the challenges at the forefront of cross-architecture development. Each biweekly episode features industry VIPs who are blazing new trails through today’s data-centric world. Available wherever you get your podcasts.

Vladimir Tsymbal
Senior technical consulting engineer, Intel Corporation

Vladimir specializes in teaching customers how to use various 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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