This project involves implementing matrix multiplication using an FPGA-based systolic array architecture. The design leverages the parallel processing capabilities of FPGAs to achieve efficient and ...

In this project, I have implemented a matrix multiplication kernel in a systolic array design, capable of handling memory and AXI-Streaming protocol for I/O and handshaking on the Xilinx PYNQ FPGA+ARM ...

Abstract: A matrix multiplication algorithm on a linear array of processing elements is described. The local storage required by the processing elements and the I/O bandwidth required to drive the ...

Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

Israeli startup Lenslet Labs has gone back to the fundamentals of mathematics to develop a processing engine that can handle matrix calculations natively without having to break them down into many ...

Matrix multiplication involves the multiplication of two matrices to produce a third matrix – the matrix product. This allows for the efficient processing of multiple data points or operations ...

Israeli start-up Lenslet Labs has gone back to the fundamentals of mathematics to develop a processing engine that can handle matrix calculations natively without having to break them down into many ...

Abstract: We propose a high-density vertical AND-type (V-AND) flash thin-film transistor (TFT) array enabling accurate vector-matrix multiplication (VMM) operations. Compared to the planar AND-type (P ...

A recent paper set the fastest record for multiplying two matrices. But it also marks the end of the line for a method researchers have relied on for decades to make improvements. For computer ...