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In this paper we analyze the matrix transpose problem for 2- and 3-dimensional mesh architectures with row and column buses.
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First we consider the 2-dimensional problem, and we give a lower bound of approximately 0.45n for the number of steps required by any matrix transpose algorithm on an n×n mesh with buses.
But what's a date matrix transpose?
The chapter concludes by presenting the matrix transpose and the definition of a symmetric matrix.
T denotes matrix transpose.
where denotes the matrix transpose.
T denotes vector and matrix transpose.
We denote by the matrix transpose, and by the matrix conjugate transpose.
The operators,, and are the matrix transpose, hermitian transpose, and conjugate complex, respectively.
A*, A T, and A H denote the conjugate matrix, matrix transpose, and conjugate (Hermitian) transpose of A, respectively.
RVs, and the superscript T denotes the matrix transpose operation.
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