Abstract: High-speed and low-area Kalman filter (KF) algorithms are critical in autonomous vehicles, robotics, military, target tracking, and other applications. KF requires a large number of matrix ...

Abstract: Matrix multiplication is a cornerstone operation in a wide array of scientific fields, including machine learning and computer graphics. The standard ...

The main goal of this assignment was to grasp an understanding of how divide and conquer algorithms work while experimenting with the time and space efficiency between divide & conquer, and ...

We present a new method for accelerating matrix multiplication asymptotically. Thiswork builds on recent ideas of Volker Strassen, by using a basic trilinear form which is not a matrix product. We ...

Implement matrix multiplication using process-based parallel computing Compare performance of sequential vs parallel approaches Analyze scalability with different matrix sizes and process counts ...

The 'algorithm for calculating the matrix product' that AlphaTensor worked on this time is used in various fields related to daily life, such as image processing, game graphics processing, weather ...