Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

You’ve checked for understanding—now you can use this framework to understand what students’ confusion is telling you, and how you can adjust course.

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...

This project implements an 8x8 systolic array for high-performance matrix multiplication, leveraging a parallel processing architecture optimized for efficiency and scalability. The workflow spans RTL ...

Abstract: Sparse matrix multiplication (SpMM) is a critical kernel used in a wide range of applications, but irregular memory access patterns and memory bandwidth bottleneck as well as load imbalance ...

Welcome to NumPyLiteC, a C implementation inspired by NumPy, designed to provide fundamental array operations and utilities. This project aims to offer a lightweight, efficient library for handling ...

Build your Java skills from the ground up by working on simple tasks and beginner-friendly projects. Challenge yourself with more complex Java problems, including those focused on multithreading and ...