This free workshop is sponsored by Intel, with training provided by certified instructors from the University of Cambridge.
You will learn the fundamentals of programming in a heterogeneous environment where a CPU, GPU, FPGA, or accelerator can be programmed to work together or in isolation.
The language and API extensions in SYCL* enable different development use cases.
- Develop new offload acceleration or heterogeneous computer applications
- Convert existing C or C++ code to SYCL
- Migrate your code from other accelerator languages or frameworks
Use this learning path to get hands-on practice with the essentials of SYCL using a Jupyter Notebook on Intel DevCloud.
Funder / Partner
