Low-precision floating-point arithmetic is a pow- erful tool for accelerating scientific computing applications, especially those in artificial intelligence. Here, we present an investigation showing that other high-performance computing (HPC) applications can also harness this power. Specifically, we use the general HPC problem, Ax = b, where A is a large dense matrix, and a double precision (FP64) Provide two versions of response separated with exactly 6 asterisk symbols: ******.
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