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→Means of parallelisation on GPUs
'''OpenMP (ElenaOpen MultiProcessing)'''OpenMP is a parallel programming model based on compiler directives which allows application developers to incrementally add parallelism to their application codes.
OpenMP API specification for parallel programming provides an application programming interface (API) that supports multi-platform shared memory multiprocessing programming in C, C++, and Fortran, on most platforms. It consists of a set of compiler directives, library routines, and environment variables that influence run-time behavior. '''HIP '''What is Heterogeneous-Computing Interface for Portability (HIP)? It’s a C++ dialect designed to ease conversion of Cuda applications to portable C++ code. It provides a C-style API and a C++ kernel language. The C++ interface can use templates and classes across the host/kernel boundary. The HIPify tool automates much of the conversion work by performing a source-to-source transformation from Cuda to HIP. HIP code can run on AMD hardware (through the HCC compiler) or Nvidia hardware (Elenathrough the NVCC compiler)with no performance loss compared with the original Cuda code.
more information: https://www.olcf.ornl.gov/wp-content/uploads/2019/09/AMD_GPU_HIP_training_20190906.pdf
'''OpenCL (NathanOpen Compute Language) '''What is OpenCL ? It’s a framework for developing programs that can execute across a wide variety of heterogeneous platforms. AMD, Intel and Nvidia GPUs support version 1.2 of the specification, as do x86 CPUs and other devices (including FPGAs and DSPs). OpenCL provides a C run-time API and C99-based kernel language. When to Use OpenCL:Use OpenCL when you have existing code in that language and when you need portability to multiple platforms and devices. It runs on Windows, Linux and Mac OS, as well as a wide variety of hardware platforms (described above).
https://stackoverflow.com/questions/7263193/opencl-vs-openmp-performance#7263823