Profile systems, analyze performance, and optimize platforms.| NVIDIA Developer
GPUs accelerate machine learning operations by performing calculations in parallel. Many operations, especially those representable as matrix multipliers will see good acceleration right out of the box. Even better performance can be achieved by tweaking operation parameters to efficiently use GPU resources. The performance documents present the tips that we think are most widely useful.| NVIDIA Docs
The programming guide to using the CUDA Toolkit to obtain the best performance from NVIDIA GPUs.| docs.nvidia.com
Computers and computer systems are build up from deterministic, comprehensible, building blocks. Their operations and behaviors can be understood and reasoned about. I relate my personal beliefs and mindset on this point, and explore some manifestations and ramifications of this philosophy.| Made of Bugs