You've moved the goal posts. You're conflating CUDA with GPUs. From Wikipedia: > CUDA (or Compute Unified Device Architecture) is a proprietary and closed sour

You've moved the goal posts. You're conflating CUDA with GPUs. From Wikipedia: > CUDA (or Compute Unified Device Architecture) is a proprietary and closed source parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for general purpose processing, an approach called general-purpose computing on GPUs (GPGPU). CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements, for the execution of compute kernels. Is the issue we're discussing because of the GPU or is it because of choices made in software libraries? The parent is right, there is a deterministic, reproducible way to solve these problems, so if determinism is a desired or expected property, then this is a bug. It's not an inherent problem like you make it out to be. The fact that "workarounds" are given in what you link prove this.