FPChecker is tool to detect floating-point exceptions (e.g., NaNs, division by zero) on NVIDIA GPUs. It uses clang/LLVM to compile and instrument CUDA kernels. The tool informs to users the location where exceptions occurred (file and line number).
https://github.com/LLNL/FPChecker
FLiT (Floating-point Litmus Tests) is a C++ test infrastructure for detecting variability in floating-point code caused by variations in compiler code generation, hardware and execution environments.
https://github.com/PRUNERS/FLiT
Archer is a data race detector for OpenMP programs. Archer combines static and dynamic techniques to identify data races in large OpenMP applications, leading to low runtime and memory overheads, while still offering high accuracy and precision.
https://github.com/PRUNERS/archer
ADAPT is a tool for mixed precision analysis. The tool uses algorithmic differentiation to estimate the output error due to lowering the precision of variables. ADAPT also provides a floating-point rounding error sensitivity profile of the code.
https://github.com/LLNL/adapt-fp
Precimonious is a framework to automatically tune the precision of floating-point variables. The tool allows users to specify a target error and performance threshold, and uses the clang/LLVM compiler a main compiler infrastructure.