If you have ever tried crunching large datasets on your laptop, maybe a big CSV converted to NumPy or some scientific data from work, you have probably heard your laptop fan roar like it is about to ...

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

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

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 ...

KLayout Nanodevice Toolkit provides a clean, extensible framework for generating parameterized device layouts, custom electrodes, advanced fanout, alignment marks, and more. All core logic is ...