Let's Program the Transistors
As AI models grow in complexity, efficient hardware for larger matrix operations becomes essential. In this article, we guide you through scaling a pipelined Matrix Multiply Unit (MMU) from 2×2 to 4×4 matrices in Verilog. You’ll learn about the architectural considerations, step-by-step implementation, and verification strategies needed to build high-performance, scalable MMUs for modern AI accelerators.
Pipelining is a powerful technique for boosting the performance of digital circuits, especially in AI hardware. In this article, you’ll learn how to design a pipelined 2×2 Matrix Multiply Unit (MMU) in Verilog, step by step. We’ll show you how to implement pipelining for higher throughput, and guide you through verifying your design with a practical testbench.
Matrix multiplication is at the heart of modern AI hardware, and building an efficient Matrix Multiply Unit (MMU) is a foundational skill for digital designers. In this article, we walk you through the implementation of a simple yet important 2×2 MMU in Verilog, and creation of a robust testbench for thorough verification. Whether you’re a student or a seasoned engineer, you’ll gain hands-on insights into designing reliable, scalable hardware for AI applications.
FPGA stands for Field Programmable Gate Array. They are programmable integrated circuits made up of a large number configurable logic blocks (CLBs), fixed function blocks and memory blocks which can be used to perform complex digital computations. The CLBs are the basic and most important unit of FPGA. CLBs are made up of Look Up…
Do you love to play with FPGAs? If yes, then there is a golden opportunity to showcase your talent. Digilent Design Contest Europe Region has reached its 12th Edition, with a rich history behind, many interesting and cool projects along the years, many smart and competitive participants, as well as appreciated advisers. It is held in Cluj-Napoca, Romania,…