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An electrical engineer recently cautioned me against using GPUs for scientific computing (e.g. where accuracy really matters) on the basis that there are no hardware safeguards like there are in a CPU. Is this true, and if so how common/substantial is the problem in typical hardware?
Actually, modern GPUs fit extremely well for scientific computing and many HPC applications are being at least partially ported to run on GPUs, for the sake of performance and energy efficiency.
Unlike older GPUs, the modern ones (take NVIDIA’s Fermi or Kepler architectures, for example) provide fully standardized IEEE-754 formats, for both single and double precision, so you should be able to use these just like you do on a modern CPU.