This project implements two-dimensional convolution on given matrices using kernels in x86 Assembly, integrated with a C++ driver program. The goal is to simulate how convolution works on matrices by ...

Abstract: Data reuse and hardware architecture are the keys to design a high performance accelerator. Dataflow, composed of loop tiling, loop ordering, and parallelization, directly impacts the data ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Abstract: To address the “memory wall” bottleneck in von Neumann architectures for deep learning acceleration, this study proposes a dynamic ID allocation and constraint programming-based ...

Welcome to the ndarray-base-binary-reduce-strided1d-dispatch-factory! This application allows you to efficiently perform reduction operations on two input ndarrays. Whether you're dealing with large ...

Undergraduates Haley Hyde and Matthew Vivirito created the Mobile Interdisciplinary Networking Exhibition (M.I.N.E.) to bring art out of a museum and into the community. Jade Gutierrez graduated with ...