neural-network-focused hardware features such as AVX512_VNNI,
            AVX512_BF16, AMX, etc.
            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)
            *   [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07)

millerRabinIteration(mr, b) if err != nil { // b was rejected. continue } if result == millerRabinCOMPOSITE { return false } iterations-- if iterations == 0 { return true } } } // productOfPrimes is the product of the first 74 primes higher than 2. // // The number of primes was selected to be the highest such that the product fit // in 512 bits, so to be usable for 1024 bit RSA keys. // // Higher values cause fewer Miller-Rabin tests of composites (nothing can help // with the final test on the actual prime) but...