When we talk about Artificial Intelligence, we often picture complex neural networks, massive clusters of GPUs, and multi-billion parameter datasets. But if you strip away the outer layers of code, ...

Abstract: In this paper we propose a new representation for FFT algorithms called the triangular matrix representation. This representation is more general than the binary tree representation and, ...

During cardiac arrhythmia, the heart frequency is an important physiological parameter that can be identified by analyzing electrocardiogram (ECG) signals. However, the accuracy of the frequency ...

The Simulated Bifurcation (SB) algorithm is a fast and highly parallelizable state-of-the-art algorithm for quadratic combinatorial optimization inspired by quantum physics and spins dynamics. It ...

In wireless communication systems, array antennas with high gain and low sidelobe performance can enhance the system’s signal processing and anti-interference capabilities, using intelligent ...

With the wide access to data and advanced technologies, organizations and firms prefer to use data-based and interpretable analytics to deal with uncertain and cognitive decision-making problems. In ...

The Cummins equation is commonly applied to describe the motion of floating structures. Because of the convolution term, the efficiency of calculation is low and the ...

Abstract: We propose a method to search the inverse matrix for a type of special multiplied triangular matrix quickly. The proposed method can be used for the decomposition of Diagonal matrix, Lower ...

Algorithms are pre-defined, self-contained sets of instructions designed to execute diverse functions, and they have been around for longer than you might expect. From ancient Babylon to the present ...

This is the source code of a paper entitled "CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs" by Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, ...