AI is beginning to make inroads into designing and managing programmable logic, where it can be used to simplify and speed up portions of the design process. FPGAs and DSPs are st ...

Learn how to understand and compute line integrals in vector fields using both Python and traditional paper methods! This video walks you step by step through the concepts of line integrals, ...

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

Matrix-vector multiplication (MVM) is a computational bottleneck for transformer inference workloads at resource-restricted edge applications. Efficient MVM accelerator design is crucial to optimizing ...

The program uses basic Python programming concepts to perform matrix operations without any built-in libraries. Matrices are stored using nested lists where each inner list represents one row of the ...

the Register Transfer Level (RTL) implementation of a Bit-Serial Matrix-Vector Multiplication Unit, inspired by the Stripes Accelerator architecture. This project was developed as the Second ...

Abstract: We propose a nonlinear optical approach for ultra-fast, matrix-vector multiplications as required in machine-learning tasks. Optical multiplication is experimentally demonstrated, with less ...