Episode 54: Programming for the GPU

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Programming for the GPU with Mark Harris

• Introductions: Who is Mark Harris? What is NVIDIA?
• Parallel Forall blog:  https://devblogs.nvidia.com/parallelforall/
• GPUs & Heterogeneous Computing
• What's the performance difference between GPU and CPU?
• What’s better on a GPU? What’s better on a CPU?
• If a program needs to use the CPU (e.g. reading packets from the network) and the GPU (e.g. fluid simulation) at the same time, how do the CPU and GPU programs communicate?
• CUDA
• What is CUDA?
• What’s the difference between SSE / CUDA / OpenCL?
• How does someone debug CUDA code?
• How does someone profile their code to find bottlenecks?
• Cuda Plattorm
• Directives, openmp
• Cuda c++
• CUDA Libraries
• Deep Learning
• CuBLAS
• Drive
• Deep Dream:
• https://github.com/google/deepdream
• Udacity course on CUDA
• Intro to parallel programming
• Life @ NVIDIA
• What is a day working at NVIDIA like?