Abstract: This article presents a reconfigurable accelerator for REcurrent Neural networks with fine-grained cOlumn-Wise matrix–vector multiplicatioN (RENOWN). We propose a novel latency-hiding ...

Abstract: Matrix multiplication is a fundamental operation for data analysis. Memory-efficient matrix multiplication is always essential, especially for problems involving large-scale datasets. We ...

Here's the CUDA matrix multiplication implementation using two approaches: inner product and outer product. Matrix multiplication is a fundamental operation in linear algebra and has various ...

a = MathArray([1, 2, 3]) # row: shape(1, 3) b = MathArray([[1], [2], [3]]) # column: shape (3, 1) (a*b).size # (1, 1)... a matrix with 1 row and 1 column (a*b)*b ...

This paper presents an up-to-date review of the developments made in the field of rhotrix theory for a decade, starting from the year 2003, when the concept of rhotrix was introduced, up to the end of ...

ABSTRACT: This paper considers rank of a rhotrix and characterizes its properties, as an extension of ideas to the rhotrix theory rhomboidal arrays, introduced in 2003 as a new paradigm of matrix ...