Besides claimed efficiency improvements, posits are claimed to have advantages for implementing numerical algorithms correctly compared to IEEE floats. A big pa

Besides claimed efficiency improvements, posits are claimed to have advantages for implementing numerical algorithms correctly compared to IEEE floats. A big part of Gustafson's book The End of Error is devoted to that, claiming to show that a range of numerical algorithms are implemented better with posits vs IEEE floats (better meaning some mix of clearer, easier to produce stability, better error bounds, etc.). It's something of a competitor to interval arithmetic in that respect [1]. A 'softposit' implementation can at least let people experiment with writing posit algorithms to investigate the claimed algorithm-design benefits, even if it's not going to beat hardware floats in speed. [1] The interval arithmetic people don't seem very happy with his comparisons though: http://frederic.goualard.net/publications/MR3329180.pdf http://frederic.goualard.net/publications/MR3329180.pdf