Achieve SYCL* Performance & Portability

Developers of high-performance computing (HPC) applications are faced with an increasingly diverse number of computing platforms that feature multiple generations of CPUs, GPUs, FPGAs, and other accelerators.

Developing code that is performant and portable across a diverse set of platforms can be expensive and time-consuming to achieve the best result.

This workshop explains why performance, portability, and productivity are important for HPC development. Get hands-on practice to learn methods for achieving performance-portable code that can run across different CPUs and GPUs available on the Intel® Developer Cloud. You also learn how to:

• Identify an algorithm, implement it using Intel® oneAPI Math Kernel Library (oneMKL), and then check for performance on CPUs and GPUs
• Implement the same algorithm using basic SYCL* programming
• Use ND-Range kernels and evaluate their impact on work-group size
• Use private memory and shared local memory to improve performance