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 ...

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 ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

Multiplication is working out how many groups of something you have altogether. Division is working how many you get, after sharing a number between another number. You can use place value charts to ...

This project is intended for research purposes only. Use it at your own risk and discretion. Triton is a language and compiler for writing highly efficient ML primitives, one of the most common ...

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 ...

Three-quarters of kidney transplants in the U.S. come from deceased donors, and donation after circulatory death, in contrast to brain death, now accounts for 45% of all deceased kidney donor ...