CLBlast (https://github.com/CNugteren/CLBlast) is a modern, lightweight, performant and tunable OpenCL BLAS library written in C++11. CLBlast implements BLAS routines: basic linear algebra subprograms operating on vectors and matrices. I enable the library on i.MX8MQ EVK/ i.MX8QXP MEK based on Vivante GPU GC7000L and i.MX8QM MEK Vivante GPU GC7000XSVX. And I also tune its performance on i.MX8MQ/8QM/8QXP following https://github.com/CNugteren/CLBlast/blob/master/doc/tuning.md. The attached Yocto Recipe bb file base on L4.14.98 GA release.
Hi could you tell me how to add this layer to yocto?
Hi Luis Neto
you need to downlaod attated file clblast.tgz and uncompress it. And then copy folder clblast to <i.MX Yocto Project folder>/sources/meta-fsl-bsp-release/imx/meta-sdk/recipes-support/. Later, you can run "bitbake clbast" to build it after you run the command of i.MX Linux Yocto Project Setup, like "DISTRO=fsl-imx-wayland MACHINE=imx8mqevk source fsl-setup-release.sh -b imx8mqevk".
Could you share your tuning results?