Solving vector operations step-by-step! ➡️📐 In this video, we break down how to perform vector operations, such as addition, subtraction, and scalar multiplication, with real-world physics examples.

Abstract: Emerging applications, e.g., machine learning, large language models (LLMs), and graphic processing, are rapidly developing and are both compute-intensive and memory-intensive. Computing in ...

Abstract: Because sparse matrix-vector multiplication (SpMV) is an important and widely used computational kernel in many real-world applications, it behooves us to accelerate SpMV on modern multi- ...

A generalization of the Heisenberg quantum theoretical multiplication law is proposed. What kind of modification this introduces to the usual results of quantum mechanics is shown. The large domain of ...