signaloid / Signaloid-Demo-Basic-MatrixMultiplication

Multiplication of two matrices using the naive matrix multiplication algorithm.

MICRO Benchmark: matrix-multiplication

Benchmark from Tsoutsouras et al. MICRO paper.¹

The program calculates the multiplication of two matrices using the naive matrix multiplication algorithm.

Arguments

matrix-multiplication -a <file prefix for A> -m <A rows> -n <A columns> -b <file prefix for B> -x <B rows> -y <B columns>
	-a <file prefix for A>: default is "gaussian/input-A"
	-m <A rows>:            default is 8
	-n <A columns>:         default is 8
	-b <file prefix for B>: default is "gaussian/input-B"
	-x <B rows>:            default is 8
	-y <B columns>:         default is 8

Inputs

The inputs make up two 8x8 matrices: matrix A and matrix B. There is one input file corresponding to each matrix element. For example, file input-A-0-0.txt holds samples for the top left element of matrix A. All samples in these files are from a Gaussian distribution of mean 1.0 and variance 1.0.

Ouputs

The program prints the means of the matrix multiplication product.

Footnotes

1. Vasileios Tsoutsouras, Orestis Kaparounakis, Bilgesu Arif Bilgin, Chatura Samarakoon, James Timothy Meech, Jan Heck, Phillip Stanley-Marbell: The Laplace Microarchitecture for Tracking Data Uncertainty and Its Implementation in a RISC-V Processor. MICRO 2021: 1254-1269 ↩