How to calculate MIPS for an algorithm for ARM processor

Question

I have been asked recently to produced the MIPS (million of instructions per second) for an algorithm we have developed. The algorithm is exposed by a set of C-style functions.

Answer 1

MIPS are a measure of CPU speed, not algorithm performance. I can only assume the somewhere along the line, someone is slightly confused. What are they trying to find out? The only likely scenario I can think of is they're trying to help you determine how fast a processor they need to give you to run your program satisfactorily.

Since you can measure an algorithm in number of instructions (which is no doubt going to depend on the input data, so this is non-trivial), you then need some measure of time in order to get MIPS -- for instance, say "I need to invoke it 1000 times per second". If your algorithm is 1000 instructions for that particular case, you'll end up with:

1000 instructions / (1/1000) seconds = 1000000 instructions per second = 1 MIPS.

I still think that's a really odd way to try to do things, so you may want to ask for clarification. As for your specific questions, I'll leave that to someone more familiar with Visual Studio.

Answer 2

Some notes:

1. MIPS is often used as a general "capacity" measure for processors, especially in the soft real-time/embedded field where you do want to ensure that you do not overload a processor with work. Note that this IS instructions per second, as the time is very important!

2. MIPS used in this fashion is quite unscientific.

3. MIPS used in this fashion is still often the best approximation there is for sizing a system and determining the speed of the processor. It might well be off by 25%, but never mind...

4. Counting MIPS requires a processor that is close to what you are using. The right instruction set is obviously crucial, to capture the actual instruction stream from the actual compiler in use.

You cannot in any way approximate this on a PC. You need to bring out one of a few tools to do this right:

1. Use an instruction-set simulator for the target archicture such as Qemu, ARM's own tools, Synopsys, CoWare, Virtutech, or VaST. These are fast but can count instructions pretty well, and will support the right instruction set. Barring extensive use of expensive instructions like integer divide (and please no floating point), these numbers tend to be usefully close.

2. Find a clock-cycle accurate simulator for your target processor (or something close), which will give pretty good estimate of pipeline effects etc. Once again, get it from ARM or from Carbon SoCDesigner.

3. Get a development board for the processor family you are targeting, or an ARM close to it design, and profile the application there. You don't use an ARM9 to profile for an ARM11, but an ARM11 might be a good approximation for an ARM Cortex-A8/A9 for example.

Answer 3

This response is not intended to answer the question directly, but to provide additional context around why this question gets asked.

MIPS for an algorithm is only relevant for algorithms that need to respond to an event within the required time.

For example, consider a controller designed to detect the wind speed and move the actuator within a second when the wind speed crosses over 25 miles / hour. Let us say it takes 1000 instructions to calculate and compare the wind speed against the threshold. The MIPS requirement for this algorithm is 1 Kilo Instructions Per Second (KIPs). If the controller is based on 1 MIPS processor, we can comfortably say that there is more juice in the controller to add other functions.

What other functions could be added on the controller? That depends on the MIPS of the function/algorithm to be added. If there is another function that needs 100,000 instructions to be performed within a second (i.e. 100 KIPs), we can still accommodate this new function and still have some room for other functions to add.

Answer 4

Also remember that different compilers and compiler options make a HUGE difference. The same source code can run at many different speeds. So instead of buying the 2mips processor you may be able to use the 1/2mips processor and use a compiler option. Or spend the money on a better compiler and use the cheaper processor.

Benchmarking is flawed at best. As a hobby I used to compile the same dhrystone (and whetstone) code on various compilers from various vendors for the same hardware and the numbers were all over the place, orders of magnitude. Same source code same processor, dhrystone didnt mean a thing, not useful as a baseline. What matters in benchmarking is how fast does YOUR algorithm run, it had better be as fast or faster than it needs to. Depending on how close to the finish line you are allow for plenty of slop. Early on on probably want to be running 5 or 10 or 100 times faster than you need to so that by the end of the project you are at least slightly faster than you need to be.

I agree with what I think S. Lott is saying, this is all sales and marketing and management talk. Being the one that management has put between a rock and the hard place then what you need to do is get them to buy the fastest processor and best tools that they are willing to spend based on the colorful pie charts and graphs that you are going to generate from thin air as justification. If near the end of the road it doesnt quite meet performance, then you could return to stackoverflow, but at the same time management will be forced to buy a different toolchain at almost any price or swap processors and respin the board. By then you should know how close to the target you are, we need 1.0 and we are at 1.25 if we buy the processor that is twice as fast as the one we bought we should make it.

Whether or not you can automate these kinds of things or simulate them depends on the tools, sometimes yes, sometimes no. I am not familiar with the tools you are talking about so I cant speak to them directly.

Answer 5

For a first estimate a benchmark on the PC may be useful.

However, before you commit to a specific device and clock frequency you should get a developer board (or some PDA?) for the ARM target architecture and benchmark it there.

There are a lot of factors influencing the speed on today's machines (caching, pipelines, different instruction sets, ...) so your benchmarks on a PC may be way off w.r.t. the ARM.

Answer 6

MIPS is generally used to measure the capability of a processor.

Algorithms usually take either:

1. a certain amount of time (when running on a certain processor)
2. a certain number of instructions (depending on the architecture)

Describing an algorithm in terms of instructions per second would seem like a strange measure, but of course I don't know what your algorithm does.

To come up with a meaningful measure, I would suggest that you set up a test which allows you to measure the average time taken for your algorithm to complete. Number of assembly instructions would be a reasonable measure, but it can be difficult to count them! Your best bet is something like this (pseudo-code):

const num_trials = 1000000
start_time = timer()
for (i = 1 to num_trials)
{
    runAlgorithm(randomData)
}
time_taken = timer() - start_time
average_time = time_taken / num_trials