Hands-On GPU Computing with Python

Significance of FP64 in GPU computing

FP32 is a single precision floating-point format requiring 32 bits of memory allocation. Similarly, FP64 is a double precision floating-point format requiring 64 bits of memory allocation. FP64 allows high precision computing theoretically at 1:2 FP32.

It involves computing with double the number of bits as FP32, and hence many computer scientists prefer GPUs with the best 1:2 FP32 performance. Applications that require the modeling and simulation of physical environments with extreme precision and high accuracy computations will always need double precision accuracy at a high performance.

Therefore, FP64 GPUs become quite significant and absolutely needed for such purposes. But in the case of the non-computational ...