K. Bergman, Exascale computing study: Technology challenges in achieving exascale systems, DARPA Report, 2008.

N. Whitehead and A. Fit-florea, Precision & performance: Floating point and IEEE 754 compliance for NVIDIA GPUs, 2011.

M. Corden, Differences in floating-point arithmetic between Intel R Xeon R processors and the Intel R Xeon Phi TM coprocessor, Intel, 2013.

K. Doertel, Best known method: Avoid heterogeneous precision in control flow calculations, Intel, 2013.

X. S. Li, Design, implementation and testing of extended and mixed precision BLAS, ACM Transactions on Mathematical Software, vol.28, issue.2, pp.152-205, 2002.
DOI : 10.1145/567806.567808

Y. Hida, X. S. Li, and D. H. Bailey, Algorithms for quad-double precision floating point arithmetic, Proceedings 15th IEEE Symposium on Computer Arithmetic. ARITH-15 2001, pp.155-162, 2001.
DOI : 10.1109/ARITH.2001.930115

U. Kulisch and V. Snyder, The exact dot product as basic tool for long interval arithmetic, Computing, vol.205, issue.3, pp.307-313, 2011.
DOI : 10.1007/s00607-010-0127-7

J. Demmel and H. D. Nguyen, Fast Reproducible Floating-Point Summation, 2013 IEEE 21st Symposium on Computer Arithmetic, pp.163-172, 2013.
DOI : 10.1109/ARITH.2013.9
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.6586

L. Fousse, G. Hanrot, V. Lefèvre, P. Pélissier, and P. Zimmermann, MPFR, ACM Transactions on Mathematical Software, vol.33, issue.2, 2007.
DOI : 10.1145/1236463.1236468
URL : https://hal.archives-ouvertes.fr/inria-00103655

S. Collange, D. Defour, S. Graillat, and R. Iakymchuk, Full-Speed Deterministic Bit-Accurate Parallel Floating-Point Summation on Multi-and Many-Core Architectures, 2014.