{'fraction_non_alphanumeric': 0.015437392795883362, 'fraction_numerical': 0.00686106346483705, 'mean_word_length': 5.712643678160919, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Efficient floating point precision tuning for approximate computing

This paper presents an automatic tool-chain that efficiently computes the precision of floating point variables down to the bit level of the mantissa. Our toolchain uses a distributed algorithm that can analyze thousands of variables. We successfully used the tool to transform floating point signal processing programs to their arbitrary precision fixed-point equivalent, obtaining about 82% and 66% average reduction in resources when compared to the double precision and single precision versions, respectively.