embblk.latency.systolicQRMatrixSolverBlockTiming

Compute minimum number of cycles between valid input samples and latency of Systolic Matrix Solve Using QR Decomposition block

Since R2024a

Syntax

[minCyclesBetweenValidInputs,latency] = embblk.latency.systolicQRMatrixSolverBlockTiming(A,B)

Description

[minCyclesBetweenValidInputs,latency] = embblk.latency.systolicQRMatrixSolverBlockTiming(A,B) returns the minimum number of cycles between valid input samples, minCyclesBetweenValidInputs, and latency of the Systolic Matrix Solve Using QR Decomposition block. This computation depends on the data type, complexity, and dimension of the input matrices A,B.

Examples

Compute Minimum Number of Cycles Between Valid Input Samples and Latency for Systolic Matrix Solve Using QR Decomposition Block

Define input matrices A and B. Compute the latency and minimum number of cycles between valid input samples of the Systolic Matrix Solve Using QR Decomposition block for these inputs.

A = fi(complex(randn(4,4),randn(4,4)),1,17,10);
B = fi(complex(randn(4,1),randn(4,1)),1,17,10);
[minCyclesBetweenValidInputs,latency] = embblk.latency.systolicQRMatrixSolverBlockTiming(A,B)

minCyclesBetweenValidInputs =

    20


latency =

   190

Input Arguments

A,B — Input matrices A and B

matrices

Input matrices A and B to the Systolic Matrix Solve Using QR Decomposition block, specified as matrices.

Data Types: single | double | fi
Complex Number Support: Yes

Output Arguments

minCyclesBetweenValidInputs — Minimum number of cycles between valid input samples

scalar

Minimum number of cycles between valid input samples for the Systolic Matrix Solve Using QR Decomposition block, returned as a scalar.

latency — Latency

scalar

Latency of the Systolic Matrix Solve Using QR Decomposition block, returned as a scalar. Latency is defined as the number of clock cycles between the input and the corresponding output.

Version History

Introduced in R2024a