Abstract: Convolution neural networks (CNNs) have been extensively used in machine learning applications. The most time-consuming part of CNNs are convolution operations. A common approach to ...

Implicit GEMM is the formulation of a convolution operation as a GEMM (generalized matrix-matrix product). Convolution takes an activation tensor and applies a sliding filter on it to produce an ...

equal to the filter size, consuming additional storage capacity and memory bandwidth. The _implicit GEMM_ algorithm is a variation on the blocked, hierarchical GEMM computation in CUDA. Instead of ...

Abstract: With the proliferation of multivariate time series data in various fields, this paper proposes an anomaly detection method based on modelling the correlation of multivariate time series.