Range: ~5.96e−8 (6.10e−5) … 65504 with 4 significant decimal digits precision. Another IEEE 754 format, the single-precision floating-point with: The format that was the workhorse of deep learning for a long time. Among recent GPUs with unrestricted FP64 support are GP100/102/104 in Tesla P100/P40/P4 and Quadro GP100, GV100 in Tesla V100/Quadro GV100/Titan V and GA100 in recently announced A100 (interestingly, the new Ampere architecture has 3rd generation tensor cores with FP64 support, the A100 Tensor Core now includes new IEEE-compliant FP64 processing that delivers 2.5x the FP64 performance of V100).Most GPUs, especially gaming ones including RTX series, have severely limited FP64 performance (usually 1/32 of FP32 performance instead of 1/2, see the post on GPUs for more details).Supported in TensorFlow (as tf.float64)/ PyTorch (as torch.float64 or torch.double).On most C/C++ systems represents the double type.The format is used for scientific computations with rather strong precision requirements.Feb 13th, 2023 Hogwarts Legacy: FSR 2.1 vs.Feb 22nd, 2023 Atomic Heart Benchmark Test & Performance Analysis Review.Feb 27th, 2023 Ryzen 7950X3D with One CCD Disabled - The 7800X3D Preview.Feb 27th, 2023 AMD Ryzen 9 7950X3D Review - Best of Both Worlds.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |