Changelog:

  • 24 Sep 2025: update timing overhead timeline picture to not include confusing call getppid segment and update corresponding text
  • 24 Sep 2025: correct each of five scenarios to each of the eight scenarios
  • 24 Sep 2025: move examples of calulcations later in item 3 for hopefully increased clarity; all the timings.txt -> the timings.txt
  • 25 Sep 2025: fix deadlink to Intel white paper
  1. Write a program gettimings in C and/or assembly to take measurements needed to estimate the time required for each of the scenarios below (under the heading Scenarios to time).

    Your program should take one command-line argument which is a number from 1 to 8 indicating which scenario above to produce timings for. (So we’d run it like ./gettimings 1, ./gettimings 2, etc.)

  2. Run your program and collect the data it outputs.

  3. Create a file called timings.txt with a single overall time estimate for each of the eight scenarios.

    Your overall time estimates must comply the requirements below (under Requirements for time estimates).

  4. If you needed to do any calculations on your program’s output to get those time estimates (e.g. averages, subtracting something), then also include in timings.txt:

    • the data output by your program you used to produce the estimates (or a reference to .txt or .csv file containing that output), and
    • a description of the calculations you performed on your program’s output to get the overall estimates
  5. Produce a Makefile whose default target (the one run by make) will compile and link your gettimings program.

  6. Submit the timings.txt you created, any data files your timings.txt references, and all your source files (Makefile, and all the C and assembly source files) to the submission site.

    (If your data files are quite large (many megabytes) and would be hard to upload, you may instead put it in something like Box and give a link in timings.txt.)

1 Scenarios to time

  1. calling an empty function (such that the function call is not optimized away) and having it return

  2. generating a psuedo-random number with drand48

  3. running the getppid function from <unistd.h> (this is not the same as getpid)

  4. calling fork() and having it return in the parent process. (Make sure you do waitpid() for the child process in between each measurement, but do not include that in your timing.)

  5. waitpid()ing for a process that has already terminated

  6. starting a new process that immediately exits and retrieving its exit status with waitpid()

  7. running system("/bin/true") (which runs the command /bin/true in a shell) [or if you are on a system where /bin/true does not exist, but /usr/bin/true does, you may use system("/usr/bin/true") instead]

  8. creating and then removing a directory (in /tmp if on portal)

2 Requirements for time estimates

The overall time estimates you report must:

3 Hints

3.1 Timing APIs

Since we are timing very short events, you want some function that can obtain high precision time measurements.

3.1.1 clock_gettime

One way to do this on Linux is using clock_gettime:

struct timespec t;
returnvalue = clock_gettime(CLOCK_MONOTONIC, &t);

will, when successful, set returnvalue to 0 and t.tv_sec to a number of seconds and t.tv_nsec to a number of nanoseconds. When unsuccessful, it will set returnvalue to -1 and errno (or utility functions like perror) can be used to obtain information about the error.

On macOS X, clock_gettime exists, but (at least in the versions I have looked at with CLOCK_MONOTONIC and CLOCK_REALTIME) it is only accurate to the nearest microsecond (even though it reports its result in nanoseconds).

CLOCK_MONOTONIC specifies to use a timer that starts around system boot. There are also other clock options like CLOCK_REALTIME (measures seconds since 1 Jan 1970 midnight UTC).

In order to use clock_gettime, use something like #define _XOPEN_SOURCE 700 before #includeing any files then #include <time.h>. (The #define requests that header files make features from the X/Open Single Unix Specification available to you.)

An example utility function for using this is:

#define _XOPEN_SOURCE 700
#include <time.h>

...

/// returns the number of nanoseconds that have elapsed since an arbitrary time
long long nsecs() {
    struct timespec t;
    clock_gettime(CLOCK_MONOTONIC, &t);
    return t.tv_sec*1000000000 + t.tv_nsec;
}

3.1.2 the cycle counter

x86-64 has a per-core Time Stamp Counter which can be accessed with the assembly instructions rdtsc (read time stamp counter) or rdtscp (read time stamp counter and processor ID).

rdtscp sets %edx to the upper 32 bits of the 64-bit time stamp counter, %eax to the lower 32 bits of time stamp counter, and %ecx to a ID number that should be unique to the core. The timestamp counter starts counting roughly when each core starts, but it may count at slightly different rates on each core, so you should not attempt to subtract numbers from two different cores.

Without writing assembly, GCC and Clang expose these using some built-in wrapper functions declared in <immintrin.h>:

__int64 rdtsc();
__int64 rdtscp(int *pointer_to_core_id);

where __int64 is most likely the same as a long on 64-bit Linux. The cycle counter is in units of clock cycles (not seconds or similar). On systems with variable clock rates used for running instructions, often the time stamp counter will be based on clock cycles of a special constant rate clock rather than the clock used by each core to run instructions.

3.2 Obtaining and consolidating multiple measurements

There are several reasons why measurements will not be consistent:

To mitigate this, usually one would:

(For how many timings, a possible rule of thumb is to take at least enough timings to take half a second of real time.)

3.3 Avoiding measurement overhead

Diagram showing getppid running. The timeline shows a call to getppid labeled 'what you want to measured', surrounded calls to clock_gettime. Two points in the calls to clock_gettime are marked with dotted lines to indicate the point where clock_gettime reads the clock. The time between these two points is marked 'time measured directly'.

Whenever you time something, in addition to timing that something you will also end up timing some of your timing code. For example, in the timeline diagram above, comparing the two results of clock_gettime calls measure getppid and also part of clock_gettime and the code that called clock_gettime. Because clock_gettime and other time reading functions can’t be called instantaneously, your raw time measurements will always include the time for some extra stuff. To compensate for this, I would recommend timing nothing (just running your timing code timing an empty block of code) and subtracting this from your other timings. Note that nothing has to be, in fact, nothing to make the overhead subtraction valid.

In addition, the amount of overhead is generally lower when you compile with optimizations (for example, -Og or -O1) and (when timing) without enabling slow debugging features like -fsanitize=address, so I would recommend trying to do so. Keep in mind, however, to enable optimizations, you’ll need to keep the compiler from doing optimizations that eliminate the things you are trying to time. The ideas in section 2.4 can be helpful for this.

3.3.1 Negative times from overhead

Sometimes students get consistently negative times after attempting to subtract overhead. Usually I think this is the result of issues like:

If you you make an significant effort to eliminate/diagnose measurement errors that would cause a negative time and still have a negative time and you report it accurately when you report your results, that is fine. In some rare cases, these results could be real due to how modern processors work:

Because processors try to run multiple instructions at a time, in some unusual cases, it might be possible that something that takes a very short amount of time runs entirely simultaneously with your timing code around it and so takes no time. In other unusual cases, it’s possible that relocating or making apparently inconsequential changes the timing code speeds that code up slightly (due to arranging code or data on the stack in a slightly better way in memory, etc.).

There are ways to avoid instructions overlapping (by including instructions that the processor manufacturer designates to prevent this; see, for example, this Intel document) to make sure you are only timing the task of interest and not how it interacts with instructions around it, but that is not required for this assignment.

3.4 Compiler optimization and function calls

I recommend turning on compiler optimizations to avoid measuring slow code for setting up system calls and the like. But, when timing a function call, you may have problems with the compiler’s optimizer replacing a function call with the body of that function. Some possibilities to avoid this:

4 Collaboration

As with most homework assignments, this assignment is to be completed individually.