2.3 Gkey/s is only about a third of my 4090’s full potential. Under full load, the speed indeed reaches around 7 Gkey/s, just as you mentioned. And the second program, which doesn’t support range searches, can actually achieve over 10 Gkey/s at full power!

However, I try not to push the GPU to its limits, as excessive heat increases wear on both the GPU and memory. My card doesn’t have liquid cooling, so I don’t see much sense in running it at maximum capacity for prolonged periods, especially for tasks like this. But when the temperature stays within safe limits, I’m comfortable letting it run key searches for many hours.

Regarding your planned program improvements—that would be absolutely fantastic! For now, I handle wildcard prefix searches using an additional filtering script in Python. This script processes the output of the main program, which searches for the first few characters but generates an overwhelming number of unnecessary results. The script intercepts this output and filters only the prefixes I’m interested in, even if they appear in different parts of the address.

Without this filtering, the main program’s result file can grow to gigabytes within minutes. However, this approach—using both the main program (such as yours) and the filtering script—introduces significant limitations on search speed, possibly due to the high-intensity data output.