SYCL* & SYCLomatic Add Multiplatform Parallelism to Workloads

Enable your C++ applications with SYCL*-based parallelism and GPU offload using SYCL, an open parallel-programming framework based on C++ that allows developers to target multivendor hardware accelerators.

Topics covered:

• SYCL kernel templates used to add code and data parallelism
• The steps for using the Intel® DPC++ Compatibility Tool and SYCLomatic to migrate CUDA* code to SYCL (SYCLomatic is the open source version of the Compatibility Tool.)
• Diagnostic message handling and resolution during migration, including resolving code-migration warnings and error messages
• Library call migration from the CUDA Basic Linear Algebra Subroutine library (cuBLAS), NVIDIA* CUDA Fast Fourier Transform (cuFFT), and NVIDIA Random Number Generation library (cuRAND) to the Intel® oneAPI Math Kernel Library (oneMKL)
• An example walk-through of an N-Body motion simulation workload migration to SYCL

Skill level: Intermediate

Download the following as stand-alone products:

• Intel DPC++ Compatibility Tool
• oneMKL
• SYCLomatic (GitHub*)

Or get them as part of the Intel® oneAPI Base Toolkit.

• Intel DPC++ Compatibility Tool: Foo Bar Example
• oneMKL Sparse Conjugate Gradient Example
• See All Code Samples