K. Goto and R. Van-de-geijn, High-performance implementation of the level-3 BLAS, ACM Transactions on Mathematical Software, vol.35, issue.1, pp.1-4, 2008.
DOI : 10.1145/1377603.1377607

Y. He and C. H. Ding, USING ACCURATE ARITHMETICS TO IMPROVE NUMERICAL REPRODUCIBILITY AND STABILITY IN PARALLEL APPLICATIONS, Developments in Teracomputing, pp.259-277, 2001.
DOI : 10.1142/9789812799685_0026

L. John, D. A. Hennessy, and . Patterson, Computer Architecture -A Quantitative Approach, 2007.

. Intel, Intel Math Kernel Library for Linux OS User's Guide

R. B. Kearfott, M. T. Nakao, A. Neumaier, S. M. Rump, S. P. Shary et al., Standardized notation in interval analysis, Reliable Computing, vol.15, issue.1, pp.7-13, 2010.

C. Lauter and V. Ménissier-morain, There's no reliable computing without reliable access to rounding modes, SCAN 2012 Symposium on Scientific Computing, Computer Arithmetics and Verified Numerics, pp.99-100, 2012.

S. Xiaoye, J. W. Li, D. H. Demmel, G. Bailey, Y. Henry et al., Design, Implementation and Testing of Extended and Mixed Precision BLAS, ACM Transactions on Mathematical Software, vol.28, issue.2, pp.152-205, 2002.

A. Neumaier, Interval methods for systems of equations, 1990.
DOI : 10.1017/CBO9780511526473

H. Diep-nguyen, Efficient algorithms for verified scientific computing: numerical linear algebra using interval arithmetic, 2011.

T. Ogita and S. Oishi, Fast Inclusion of Interval Matrix Multiplication, Reliable Computing, vol.27, issue.1???2, pp.191-205, 2005.
DOI : 10.1007/s11155-005-3615-2

K. Ozaki, T. Ogita, S. M. Rump, and S. Oishi, Fast algorithms for floating-point interval matrix multiplication, Journal of Computational and Applied Mathematics, vol.236, issue.7, pp.1795-1814, 2012.
DOI : 10.1016/j.cam.2011.10.011

S. M. Rump, Fast and parallel interval arithmetic, Bit Numerical Mathematics, vol.39, issue.3, pp.534-554, 1999.
DOI : 10.1023/A:1022374804152

S. M. Rump, Fast interval matrix multiplication, Numerical Algorithms, vol.89, issue.1, pp.1-34, 2012.
DOI : 10.1007/s11075-011-9524-z

V. Strassen, Gaussian elimination is not optimal, Numerische Mathematik, vol.13, issue.4, pp.354-356, 1969.
DOI : 10.1007/BF02165411

]. R. Todd, Introduction to Conditional Numerical Repro- ducibility (CNR) http://software.intel.com/en-us/articles/ introduction-to-the-conditional-numerical-reproducibility-cnr, 2012.

R. , C. Whaley, and J. Dongarra, Automatically Tuned Linear Algebra Software, Conference on High Performance Networking and Computing, pp.1-27, 1998.