Re: calculation of execution time of assembly code in a realtime program with large number of tasks


bvanevery@xxxxxxxxx wrote:
Arlet wrote:

For a software solution, make sure you have an accurate hardware timer,
and take a timestamp at beginning and end, then subtract the values,
and report (through printf, or any other suitable method). Use the same
method to time an empty piece of code to measure the timestamping
overhead.

If the task is amenable, put the assembly code in a loop and run it
millions of times. This makes the calculation take much longer and
then you don't need quite so accurate a timer. Of course, you have to
be careful that you're not changing the basic nature of the processing,
such as reading in lotsa data from main memory that otherwise would
have been in a cache. Anyways, "put a loop around it" is a general
trick for benchmarking.


Cheers,
Brandon Van Every


Hi,
I found something interesting w.r.t Code Composer Studio (CCS) under
the topic of Benchmarking .
Pls find the info below that i got from a link . (Looks interesting !!
)

Code Composer Studio has the capability of benchmarking your code,
meaning that you can analyze how long your code takes to execute. In
the following example, you will be analyzing how long it takes to
execute each call of the dotp() function.

One way of benchmarking your code is to set two breakpoints. When you
run the program, the breakpoints will tell the debugger to stop
execution. A clock-cycle counter, built into the debugger, can be used
to count the number of cycles between these breakpoints.

DO THIS
=======
Do DEBUG:RESTART to set the PC at the beginning of the code.

Choose PROFILER:START NEW SESSION... with session name of your choice.

You can profile, count the number of clock cycles, a function by adding
it to the profile session you created. To do this, left double click on
the lab1.c file in the Project View to view the file. Place the cursor
on any line inside the dotp() function and right click. Choose Profile
Fimction -> in (session-name) Session, where (session-name)
identifies the profiling session you created.
Execute the code by DEBUG:RUN.

After CPU halts, click on the Functions tab of the profiling window to
see the result of the profiling of the dotp() function.

The numbers displayed are the statistics of the execution of the dotp()
function gathered by CCS while executing the code.

For interpretations of these numbers, read the CCS help topic
Profiler:Viewing Profile Data by choosing the Help:Contents menu on the
CCS menu bar.

You can also add a particular line of the code to the profile session.
Learn how to do this by reading the helps. There are lots of profiling
capabilities that cannot be covered fully in this manual.
How many clock cycles (on average) does it take to execute the dotp()
function?

Regards,
Karthik Balaguru

.

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