CUDA is a parallel programming platform. Learning CUDA means not only learning the language, but also having some engineering prowess with the GPU. That engineering area can be monitoring, environment settings, performance understanding, containerization, and so on. This chapter provides some tips to help engineers use GPUs. We could cover even more topics, but the following topics will be helpful for those of you who want to learn about CUDA and its GPU operations.

In this chapter, we will cover the following topics:

• Useful nvidia-smi commands
• WDDM/TCC mode in Windows
• Performance modeling 
• Exploring container-based development