Overall data path through the accelerator: Input A/B → FIFOs → Stream Controller → Systolic Array (NxN PEs) → Output C INT8 arithmetic reduces area and power consumption compared to floating point and ...

SAURIA is a Convolutional Neural Network (CNN) accelerator based on an output stationary (OS) systolic array with on-chip, on-the-fly convolution lowering, written entirely in SystemVerilog. The ...

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...

I recently designed and verified a scalable NxN Systolic Array for Matrix Multiplication using SystemVerilog RTL. 🔹 Started with a basic 2×2 systolic array to understand dataflow and timing 🔹 ...

most of an LLM's compute is matrix multiply. nvidia and google built very similar hardware to exploit this. nvidia calls them tensor cores, and google calls them TPUs: in 1978, H.T. Kung and Charles ...