… matrix solver for realizing the GJEM is discussed in this section. In GF(2) the addition and
subtraction corresponds to the function of Exclusive OR logic d. t e multiplication to that of …

… using Gaussian elimination on the coefficient matrix. Our architecture can also be used for
solving matrix inversion problems and for computing the systematic form of matrices. These …

… solving mediumsized LSEs and computing inverse matrices. In a similar way, an architecture
for fast matrix … other architecture to solve large LSEs by means of Strassen’s algorithm [17]. …

… for solving medium-sized LSEs and computing inverse matrices. In a similar way, an architecture
for fast matrix … in conjunction with the other architecture to solve large LSEs by means of …

… The system is of the form A * x = B (mod 2) where Matrix A is dense its 50% of the elements
… A parallel hardware architecture for fast gaussian elimination over GF (2). In: 14th IEEE …

… In particular, good LDPC codes over GF(p) are defined by ultrasparse matrices and thereby
… In section 111, we recall the regular Belief Propagation equations, written in tensor notations…

… This core circuit is then used to solve equations over G F ( 2 ) \documentclass[12pt]{minimal}
\usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{…

… column operations to this matrix over the field GF( 2 ), and … elimination algorithm over GF(
2) (more generally, over GF(p)) … Takefuji et al. have proposed a matrix solver using iterative …

… networks is not able to provide the super-fast algorithms’ advantages [5]. Thus the efficient
… generations and 2 for earlier ones), and l2 = 256. On each algorithm step we calculate the …

… In particular, we will show how to use a classic matrix representation of these fields to … , it
was faster than the SAT-solver approach. And while SAT-solvers are quite fast, their running …