OpenCL came as a standard for heterogeneous programming that enables a code to run in different platforms, such as multicore CPUs, GPUs (AMD, Intel, ARM), FPGAs, Apple M1, tensor cores, and ARM processors with minor or no modifications.įurthermore, differently from OpenACC, the programmer has full control of the hardware and is entirely responsible for the parallelization process. However, OpenACC is a proprietary parallel programming model and it is supported by a limited set of devices, such as NVIDIA GPUs. ![]() In this programming model, the parallelism is implicit, which means that the compiler is responsible for the parallelization, which might not work in all scenarios. In the HPC school, the students had the opportunity to work with a higher-level heterogeneous programming model based on directives, called OpenACC. Introduction to OpenCL Programming (C/C++) Copyright (c) T. Big Data Application Over Hadoop and Spark.Bioinformatics workflows with snakemake and conda.Solving Laplace Equation on GPU with OpenACC. ![]() Accelerating Applications with CUDA C/C++.
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