Abstract: Deep Neural Networks (DNNs) require highly efficient matrix multiplication engines for complex computations. This paper presents a Systolic Array (SA) architecture incorporating novel exact ...
rand logic [DATA_WIDTH-1:0] A [N][N]; // input matrix A rand logic [DATA_WIDTH-1:0] B [N][N]; // input matrix B // Response fields — captured from DUT output, not ...
Abstract: Systolic arrays have become an effective way to carry out parallel computations in modern hardware accelerators. This paper provides an overview and design approach for systolic array-based ...
A parameterized systolic-array matrix-multiply accelerator in SystemVerilog. Implements a weight-stationary dataflow across an NxN grid of pipelined multiply-accumulate (MAC) units, with a control FSM ...
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