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TensorFloat-32
Numbering format in Nvidia hardware From Wikipedia, the free encyclopedia
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TensorFloat-32 (TF32) is a numeric floating point format designed for Tensor Core running on certain Nvidia GPUs.
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Format
The binary format is:
- 1 sign bit
- 8 exponent bits
- 10 significand bits (also called mantissa, or precision bits)
The total 19-bit format fits within a double word (32 bits), and while it lacks precision compared with a normal 32-bit IEEE 754 floating-point number, provides much faster computation, up to 8 times on a A100 (compared to a V100 using FP32).[1]
See also
References
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