Detecting Divergence Using PCAST to Compare GPU to CPU Results – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-25T13:00:00Z http://www.open-lab.net/blog/feed/ Michael Wolfe <![CDATA[Detecting Divergence Using PCAST to Compare GPU to CPU Results]]> http://www.open-lab.net/blog/?p=22165 2022-08-21T23:40:47Z 2020-11-18T16:00:00Z Parallel Compiler Assisted Software Testing (PCAST) is a feature available in the NVIDIA HPC Fortran, C++, and C compilers. PCAST has two use cases. The first...]]> Parallel Compiler Assisted Software Testing (PCAST) is a feature available in the NVIDIA HPC Fortran, C++, and C compilers. PCAST has two use cases. The first...PCAST helps to quickly isolate divergence between CPU and GPU results so you can isolate bugs or verify your results are OK even if they aren��t identical.

Parallel Compiler Assisted Software Testing (PCAST) is a feature available in the NVIDIA HPC Fortran, C++, and C compilers. PCAST has two use cases. The first is testing changes to parts of a program, new compile-time flags, or a port to a new compiler or to a new processor. You might want to test whether a new library gives the same result, or test the safety of adding OpenMP parallelism��

Source

]]> 0 ���˳���97caoporen����