Handmade Guitars
Xephos
The Xephos is inspired by the BC Rich Stealth, a Chuck Schuldiner guitar. I salvaged the neck and some hardware from a cheap jackson guitar. The pickup is an EMG H4 for its bright tone. I decided to use only a neck pickup because that's metal. The body is coated in tru oil to keep its natural wood look
Zealot
The Zealot is an aggressive take on the stratocaster. Like the Xephos, I stripped the neck and some gold hardware from another cheap Jackson guitar. I coated the body and pickguard with a Tru Oil finish, because the natural wood look and long grains look beautiful with the gold hardware. The pickup is a Fishman Fluence Modern that has been wired for coil tapping and various tone voices which makes it more versatile than the Xephos.
Abstract
With the advent of artificial intelligence (AI), performance and model runtime feasibility poses a challenge to the advancement of AI technology. Novel methods of accelerating the core mathematical functions of AI applications are being explored. The crux of AI computations that would benefit from hardware acceleration is matrix multiplication. This thesis explores the acceleration of matrix multiplication using systolic arrays and the strassen algorithm, methods known for enhancing computational efficiency through parallel processing. The research focuses on the design, implementation, and comprehensive testing of these architectures to expedite matrix multiplication tasks, crucial for applications in deep learning and signal processing. By comparing various design methodologies and evaluating their performance among different scenarios, the thesis aims to identify optimal configurations that maximize processing speed and efficiency as well as determine the circumstances for which method should be deployed. This paper contributes to the advancement of our understanding high-performance computing trade-offs by providing insights into approaches of hardware acceleration.