Abstract: Reproducibility, i.e. getting the bitwise identical floating point results from multiple runs of the same program, is a property that many users depend on either for debugging or correctness checking in many codes [1].
Reproducibility: ability to obtain bit-wise identical results from run-to-run on the same input data, with different resources. to rerun multiple times on the ...
May 8, 2021 · Yes, there is a way. A method to do just this is described in the paper "Fast Reproducible Floating-Point Summation" by Demmel and Nguyen (2013).
As long as the same rounding mode is used, results computed by the proposed algorithms are reproducible for any run on any platform. Keywords-reproducibility; ...
This repo provides implementations of two papers which pre-round floating-point numbers to achieve reproducible results with (often) small reductions in ...
We propose a technique for floating point summation that is reproducible independent of the order of summation. Our technique uses Rump's algorithm for error- ...
We propose a technique for floating point summation that is reproducible independent of the order of summation. Our technique uses Rump's algorithm for error- ...
Nov 28, 2018 · I want to write a kernel which need to take the summation of a float data array; but I find the result is not precise, is there some guideline or method to ...
We describe a “reproducible accumulator” data structure (the “binned number”) and associated algorithms to reproducibly sum binary floating point numbers, ...
We propose a technique for floating point summation that is reproducible independent of the order of summation. Our technique uses Rump's algorithm for error- ...