LCZero Chess Engine Performance With OpenCL vs. CUDA + cuDNN vs. FP16 With Tensor Cores

[cybertraveler]

Is there an intrinsic reason why OpenCL was so much slower?

Some possibilities I have considered:

* OpenCL is slower on this NVIDIA hardware because less effort has gone into optimizing the drivers, firmware & software
* OpenCL is slower on this hardware because the OpenCL standard itself is less able to take advantage of the hardware features than CUDA is
* OpenCL is slower on this hardware because NVIDIA have deliberately limited it in order to push their proprietary CUDA standard

[phoronix]

Phoronix: LCZero Chess Engine Performance With OpenCL vs. CUDA + cuDNN vs. FP16 With Tensor Cores

A Phoronix reader pointed out LCZero (Leela Chess Zero) a few days ago as an interesting chess engine powered by neural networks and supports BLAS, OpenCL, and NVIDIA CUDA+cuDNN back-ends. Particularly with the FP16 cuDNN support, this chess engine can be super fast on NVIDIA's latest Turing GPUs with tensor cores...

http://www.phoronix.com/scan.php?page=news_item&px=LCZero-NVIDIA-Benchmarks