… sparse matrix-matrix multiplication (or SpGEMM) is a key primitive for many high performance
… Due to the special structure of the permutation matrices, the number of nonzero operations …

… achieve a performance that is within 0.04 dB of Shannon limit and the performance is close
… corners of the permuted matrix when the matrix H is rearranged according to the sequences. …

… We denote P = P j the set of all permutation matrices under consideration, indexed by the …
a permutation matrix shuffles the order of the data, whereas by a sign flipping matrix changes …

… in this case because permutation matrices are more … performing any computation. To remedy
this problem, we perform random permutations of vertices on both inputs before performing …

… When performing GWAS with permutations, let additionally q denote the number of permutations.
Then for … j 2 RbĀnĀc is a 3D tensor containing the matrices Xj to XjžbĄ1. (C) 4D-tensor …

… We will also write |·|1 for the l1 norm of a vector or matrix vectorized, ie, for a matrix … We
evaluate the concentration matrix estimation performance using the Kullback-Leibler loss, …

… (MN)⌉, we evaluated the performance of the chosen-plaintext attacks with respect to the
percentage of correctly recovered elements of the permutation matrix and the run-time. To this …

… permutation network is given in section IV. In the last part, implementation results, such as
performance, … and an alternative described in [4] is the bit representation of permutation matrix. …

… permutation matrix. Besides, we will discuss the construction steps of IRA-like codes in details.
Section 5, the decoding performance … has a great performance advantage compared with …

… With a perfect matching, it is possible to define a permutation matrix … These supernodes are
so crucial to high performance in sparse matrix factorization that the criterion for the inclusion …