OpenCL driver implementation in the reworks operating system

Shuo Wang; Junmin Wu

doi:10.1117/12.2673256

13 April 2023 OpenCL driver implementation in the reworks operating system

Shuo Wang, Junmin Wu

Proceedings Volume 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022); 126050A (2023) https://doi.org/10.1117/12.2673256
Event: Second Conference on High Performance Computing and Communication Engineering, 2022, Harbin, China

Abstract

With the development of the times, the demand for executing programs that require massively parallel computing on embedded devices has become increasingly strong. To meet this demand, various heterogeneous systems have been built on SoCs. In order to better use and manage heterogeneous systems, and to facilitate the development of heterogeneous computing programs. People will implement a heterogeneous computing framework in the operating system. Unfortunately, the reworks real-time operating system does not provide us with a heterogeneous computing framework for writing heterogeneous computing programs. We chose OpenCL as the heterogeneous computing framework for the reworks operating system and implemented the kernel state of the OpenCL heterogeneous computing framework, also known as the OpenCL driver.

Citation Download Citation

Shuo Wang and Junmin Wu "OpenCL driver implementation in the reworks operating system", Proc. SPIE 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022), 126050A (13 April 2023); https://doi.org/10.1117/12.2673256

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