Optimize Edge Compute Performance by Migrating CUDA to DPC++

Edge computing is a must for real-time data processing. Manufacturing plants, connected and autonomous vehicles, financial services, AR/VR, and virtual assistants are just some of the industry use cases with enormous potential.

This webinar focuses on two others: Healthcare and Life Sciences. In particular, it looks at how these industries have used oneAPI to develop compute-intense edge applications that were subsequently (and successfully) offloaded to the GPU.

Join Intel engineers Jon Kim and Sofea Azrina Azizan for a use case walk-though, where they will cover:

  • How to migrate CUDA code to Data Parallel C++ code using the Intel® DPC++ Compatibility Tool
  • How to use the Intel® oneAPI DPC++/C++ Compiler to increase application performance and offload compute-intensive workloads to the GPU
  • How to use Intel® VTune™ Profiler to tune medical application performance

It’s an at-the-edge tool extravaganza (download them all below in one convenient toolkit).

Download 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 for oneAPI account—a free development sandbox with access to the latest Intel® hardware and oneAPI software, including the Intel AI Analytics Toolkit.
Jon Kim, Technical Consulting Engineer, Intel Corporation

At Intel, Jon trains, educates and supports partners for Software optimizations across the industries from HPC to Embedded as a Technical Consulting Engineer. Jon obtained Master’s in Robotics/AI from UPenn.

Sofea Azrina Azizan, Technical Consulting Engineer, Intel Corporation

Sofea Azrina is a Technical Consulting Engineer located in Penang, Malaysia. Sofea provides Intel development tools enabling and support, maintaining strong connections with the tools development teams and collaborating with tools marketing and sales. Sofea has a Bachelor’s degree and a Master’s degree in Information Technology at University Technology of PETRONAS.

Performance varies by use, configuration, and other factors. Learn more at www.Intel.com/PerformanceIndex.