The reference code is currently implemented with minimal dependencies and no performance optimizations. For real world and large scale testing of the ISCC we need faster ISCC generation.
Create an optional parallel iscc_opt.py module with the same interface that is optimized by using packages like numpy, numba, gmpy, cython (to be researched).
Without making these hard dependencies we could automatically use the optimized version if the required packages are available in the users environment. Performance gains of 100x or more are to be expected of such optimizations.
The reference code is currently implemented with minimal dependencies and no performance optimizations. For real world and large scale testing of the ISCC we need faster ISCC generation.
Create an optional parallel
iscc_opt.pymodule with the same interface that is optimized by using packages like numpy, numba, gmpy, cython (to be researched).Without making these hard dependencies we could automatically use the optimized version if the required packages are available in the users environment. Performance gains of 100x or more are to be expected of such optimizations.