Consistency of Floating-Point Results using the Intel Compiler or Why doesn't my application always give the same answer? Intel Corporation, 2014. ,
Fast Reproducible Floating-Point Summation, 2013 IEEE 21st Symposium on Computer Arithmetic ,
DOI : 10.1109/ARITH.2013.9
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.6586
Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications ,
Hydrodynamics of free surface flows: Modelling with the finite element method, 2007. ,
DOI : 10.1002/9780470319628
Accurate Sum and Dot Product, SIAM Journal on Scientific Computing, vol.26, issue.6 ,
DOI : 10.1137/030601818
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.1547
In search of numerical consistency in parallel programming, Parallel Computing, vol.37, issue.4-5, pp.217-229, 2011. ,
DOI : 10.1016/j.parco.2011.02.009
Ultimately Fast Accurate Summation, SIAM Journal on Scientific Computing, vol.31, issue.5 ,
DOI : 10.1137/080738490
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.1673
Accurate Floating-Point Summation Part I: Faithful Rounding, SIAM Journal on Scientific Computing, vol.31, issue.1 ,
DOI : 10.1137/050645671
Improving numerical reproducibility and stability in large-scale numerical simulations on GPUs, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), pp.1-9, 2010. ,
DOI : 10.1109/IPDPS.2010.5470481
Effects of floating-point non-associativity on numerical computations on massively multithreaded systems, CUG 2009 Proceedings, pp.1-11, 2009. ,
A parallel algorithm for accurate dot product, Parallel Computing, vol.34, issue.6-8, pp.6-8392, 2008. ,
DOI : 10.1016/j.parco.2008.02.002
Correct Rounding and a Hybrid Approach to Exact Floating-Point Summation, SIAM Journal on Scientific Computing, vol.31, issue.4 ,
DOI : 10.1137/070710020
Algorithm 908, ACM Transactions on Mathematical Software, vol.37, issue.3 ,
DOI : 10.1145/1824801.1824815