An Open-Source GPGPU Compiler (GPUCC)

This tutorial will present gpucc, an open-source compiler built by Google targeting CUDA and NVIDIA GPUs. gpucc performs various general and CUDA-specific optimizations to generate high performance code. It outperforms NVIDIA’s toolchain (nvcc) on internal large-scale end-to-end benchmarks by up to 51%, and is on par for several open-source benchmarks (Rodinia, SHOC and Tensor). It supports modern language features such as those in C++11 and C++14, and compiles code 8% faster than nvcc, up to 2.4x faster for pathological compiles.

This tutorial will cover the following topics:

• Using gpucc
  • gpucc system overview: a brief description of how gpucc works under the hood
  • Detailed performance results of gpucc vs nvcc
  • Compiling CUDA programs with gpucc: a demo on how to install gpucc and compile some sample CUDA programs
• Contributing to gpucc
  • Performance debugging: how to debug the performance of generated binary by using nvprof and observing device code
  • Writing new optimizations for gpucc