This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...
Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...
A sparse matrix is a matrix in which most of the elements are 0. To save memory, only non-zero elements are stored. In 3-tuple representation, each non-zero element is stored as (Row, Column, Value).
Some results have been hidden because they may be inaccessible to you
Show inaccessible results