Fixed-Point Multiword Operations in Generated Code - MATLAB & Simulink (original) (raw)

This example shows how to control generation of multiword operations in generated code.

In this example you will learn:

Simple Multiword Operation

This model shows how wide integer and fixed-point operations become multiword in the generated C code. Multiword code is normally triggered by using parameters or signals with data types wider than C 'long'.

open_system('fxpdemo_multiword_example1'); set_param('fxpdemo_multiword_example1','SimulationCommand','Update');

Generate code for the model:

evalc('slbuild(''fxpdemo_multiword_example1'');'); % Suppress output

In the generated code, multiword operations are implemented using functions. These functions will have "MultiWord" in their name.

Review one of the multiword functions that was generated: MultiWordAdd()

fid = fopen('fxpdemo_multiword_example1_grt_rtw/fxpdemo_multiword_example1.c') ; ctext = fread(fid, 'char')'; fclose(fid); match = regexp(ctext, 'void MultiWordAdd.?\n}', 'match'); disp(match{1});

void MultiWordAdd(const uint32_T u1[], const uint32_T u2[], uint32_T y[], int32_T n) { int32_T i; uint32_T carry = 0U; uint32_T u1i; uint32_T yi; for (i = 0; i < n; i++) { u1i = u1[i]; yi = (u1i + u2[i]) + carry; y[i] = yi; carry = carry != 0U ? (uint32_T)(yi <= u1i) : (uint32_T)(yi < u1i); } }

This function implements multiword addition in C. The two operands and the result all have the same number of words, and the addition is performed one word at a time.

close_system('fxpdemo_multiword_example1', 0);

Relational Operator Block

In the Relational Operator Block example below, you would expect to get multiword functions in the generated code. The two input data types are uint32 and ufix32_En3. A good type for comparison is ufix35_En3, because this type can represent all the real world values of both operands.

We expect the data type ufix35_En3 to be implemented using a 64-bit two-word data type.

open_system('fxpdemo_multiword_example2'); set_param('fxpdemo_multiword_example2','SimulationCommand','Update');

This model is configured for a CPU with 32-bit C type long. A 64-bit data type will be a multiword type.

get_param(bdroot, 'ProdBitPerLong')

Generate code for the model and review:

evalc('slbuild(''fxpdemo_multiword_example2'');'); % Suppress output fid = fopen('fxpdemo_multiword_example2_grt_rtw/fxpdemo_multiword_example2.c') ; ctext = fread(fid, 'char')'; fclose(fid); match = regexp(ctext, 'void fxpdemo_multiword_example2_step.?\n}', 'match'); disp(match{1});

void fxpdemo_multiword_example2_step(void) { /* RelationalOperator: '/LessThan' incorporates:

Multiword code was not generated. This code is single-word and uses a comparison data type of uint32. As a result, precision loss in the comparison may occur.

Simulink® balances the requirements for the internal data type for comparison. In this case, because all data types are single word, it implements an efficient data type that produces small, fast code rather than a more precise, cumbersome computation.

close_system('fxpdemo_multiword_example2', 0);

To improve the precision of this calculation, do one of the following steps:

MATLAB Function Block

The MATLAB Function Block example below showcases an all-single-word calculation. Multiword code is not expected.

open_system('fxpdemo_multiword_example3'); set_param('fxpdemo_multiword_example3','SimulationCommand','Update');

mfb = get_param('fxpdemo_multiword_example3/MATLAB Function','MATLABFunctionConfiguration'); mfb.FunctionScript

ans =

'function y = fcn(u1, u2)
 %#codegen
 
 y = fi(u1 * u2, 0, 32, 0);'

Generate code for the model:

evalc('slbuild(''fxpdemo_multiword_example3'');'); % Suppress output fid = fopen('fxpdemo_multiword_example3_grt_rtw/fxpdemo_multiword_example3.c') ; ctext = fread(fid, 'char')'; fclose(fid); match = regexp(ctext, 'void fxpdemo_multiword_example3_step.?\n}', 'match'); disp(match{1});

void fxpdemo_multiword_example3_step(void) { uint64m_T tmp; uint64m_T tmp_0;

/* MATLAB Function: '/MATLAB Function' incorporates:

/* Outport: '/Out1' incorporates:

close_system('fxpdemo_multiword_example3', 0);

Even though all the data types in the model were single-word, you still got three calls to multiword functions, and two multiword variables as well.

Fixed-point operations in the MATLAB Function Block are controlled by fimath property settings.

ans = 

    RoundingMethod: Nearest
    OverflowAction: Saturate
       ProductMode: FullPrecision
           SumMode: FullPrecision

This fimath specifies full precision ProductMode. Therefore multiplications are performed in a way that preserves as much precision as possible. The product data type, which is uint64_En3, is implemented as a multiword type.

You can control multiword in code generation for MATLAB® code by manipulating the fimath. For example:

load_system('fxpdemo_multiword_example4'); % No need to show this model. Only show the MATLAB code. mfb = get_param('fxpdemo_multiword_example4/MATLAB Function','MATLABFunctionConfiguration'); mfb.FunctionScript

ans =

'function y = fcn(u1, u2)
 %#codegen
 F = fimath('ProductMode','KeepLSB',...
     'ProductWordLength',32,...
     'OverflowAction','Wrap');
 u1 = setfimath(u1,F);
 u2 = setfimath(u2,F);
 y = fi(u1 * u2,0,32,0);
 '

This fimath will result in this generated code:

evalc('slbuild(''fxpdemo_multiword_example4'');'); % Suppress output fid = fopen('fxpdemo_multiword_example4_grt_rtw/fxpdemo_multiword_example4.c') ; ctext = fread(fid, 'char')'; fclose(fid); match = regexp(ctext, 'void fxpdemo_multiword_example4_step.?\n}', 'match'); disp(match{1});

void fxpdemo_multiword_example4_step(void) { uint32_T tmp;

/* MATLAB Function: '/MATLAB Function' incorporates:

close_system('fxpdemo_multiword_example4', 0);

clear ctext fid match mfb clear ans

See Also

MATLABFunctionConfiguration | fimath