Modern Linux systems offer powerful capabilities for performance analysis, with hardware performance counters (PMCs) being a cornerstone for deep system understanding. While tools like perf
provide a user-friendly interface to these counters, direct programmatic access from C offers unparalleled flexibility for custom tooling, in-application monitoring, and advanced diagnostics. The perf_event_open
system call is the gateway to this low-level access (see the perf_event_open(2) man page).
This article provides a practical guide for C developers to leverage perf_event_open
for monitoring hardware performance counters. We’ll explore its core concepts, demonstrate its usage with code examples, and discuss essential considerations like permissions and error handling.
Core Concepts of perf_event_open
The perf_event_open
syscall creates a file descriptor that represents a performance monitoring event. This event can be a hardware event (like CPU cycles or cache misses), a software event (like context switches or page faults), or other types of tracepoints, as detailed in the perf_event_open(2) man page.
The perf_event_attr
Structure
Configuration of a performance event is done via the struct perf_event_attr
. This structure is crucial and contains numerous fields to define the event’s behavior, as documented in the kernel header <linux/perf_event.h>
and the perf_event_open(2) man page.
Key fields include:
type
: Specifies the category of the event (e.g.,PERF_TYPE_HARDWARE
,PERF_TYPE_SOFTWARE
,PERF_TYPE_RAW
). These types are defined in<linux/perf_event.h>
.size
: Must be set tosizeof(struct perf_event_attr)
for forward/backward compatibility.config
: A type-specific value that further defines the event. For hardware events, this could be one of thePERF_COUNT_HW_*
constants (e.g.,PERF_COUNT_HW_INSTRUCTIONS
). For raw events, it’s a CPU-specific code.sample_period
/sample_freq
: Used for event sampling. If non-zero, the kernel will generate an overflow notification aftersample_period
events or atsample_freq
Hz.sample_type
: A bitmask specifying what data to include in a sample (e.g., IP, TID, time).read_format
: A bitmask defining the format of data read from the file descriptor, especially for grouped events.disabled
: If set to 1, the event is created in a disabled state and must be enabled viaioctl
. This is common practice.inherit
: If set to 1, the event is inherited by child threads/processes.pinned
: If set to 1, the event must always be on the PMU if scheduled. If it cannot be, it won’t be scheduled.exclude_kernel
/exclude_hv
: Flags to exclude events occurring in kernel or hypervisor space respectively.
Counting vs. Sampling
perf_event_open
supports two primary modes of operation:
- Counting Mode: The kernel aggregates event occurrences. The total count can be read directly from the event’s file descriptor. This mode is generally lower overhead and suitable for collecting cumulative metrics.
- Sampling Mode (Profiling): When an event counter overflows (after
sample_period
events or atsample_freq
frequency), the kernel generates a sample. This sample can include information like the instruction pointer, process ID, timestamp, etc., as specified bysample_type
. Samples are typically read from a ring buffer shared between the kernel and userspace (set up viammap
). This mode is used for profiling to identify performance hotspots.
This article primarily focuses on the simpler counting mode for brevity, but the concepts of struct perf_event_attr
apply to both.
Using perf_event_open
in C
Since glibc often does not provide a wrapper for perf_event_open
, you typically invoke it using the syscall()
function, as detailed in the perf_event_open(2) man page.
1. Invoking the System Call
First, ensure you have the necessary includes:
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This helper function perf_event_open_syscall
makes calling the system call cleaner.
2. Monitoring a Single Hardware Event (e.g., Instructions)
Let’s create an event to count retired instructions for the current process.
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In this example:
- We initialize
perf_event_attr
forPERF_COUNT_HW_INSTRUCTIONS
. disabled = 1
ensures the counter doesn’t start untilPERF_EVENT_IOC_ENABLE
.pid = 0
monitors the current thread.cpu = -1
means the counter is associated with the thread and follows it across CPUs.ioctl
calls are used to enable and disable the counter.read
retrieves the 64-bit count.- Always
close(fd)
when done to release resources.
3. Monitoring an Event Group
Performance events can be grouped. A group is led by a “group leader” event. All events in a group are scheduled on the PMU as a single unit. This is vital when you need to correlate counts (e.g., calculating Instructions Per Cycle - IPC).
To read all counters in a group simultaneously, you must set PERF_FORMAT_GROUP
in the read_format
field of the leader.
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Key aspects of group monitoring:
- The leader event is created with
group_fd = -1
. Member events are created withgroup_fd
set to the leader’s file descriptor. pe_leader.read_format
must includePERF_FORMAT_GROUP
.PERF_FORMAT_ID
is used to get unique IDs for each event, helping to match values in the output.PERF_FORMAT_TOTAL_TIME_ENABLED
andPERF_FORMAT_TOTAL_TIME_RUNNING
provide information about counter multiplexing.ioctl
operations likePERF_EVENT_IOC_ENABLE
,PERF_EVENT_IOC_DISABLE
, andPERF_EVENT_IOC_RESET
can be applied to the entire group using the leader’s file descriptor and thePERF_IOC_FLAG_GROUP
flag.- A single
read()
on the leader’s file descriptor retrieves data for all events in the group. The format is defined bystruct read_format_group
(or similar, depending onread_format
flags). The number of bytes read should be checked.
Permissions and perf_event_paranoid
Access to performance counters is controlled for security reasons.
/proc/sys/kernel/perf_event_paranoid
: This sysctl setting determines what events unprivileged users can access. The perf_event_open(2) man page details its levels (e.g., -1 for most permissive, 2 or 3 for most restrictive, often default).- Capabilities: Linux capabilities provide fine-grained privilege control.
CAP_PERFMON
(since Linux 5.8): The preferred capability for performance monitoring operations. It allows access even with restrictiveperf_event_paranoid
settings.CAP_SYS_ADMIN
: A more general, powerful capability that also grants access. However,CAP_PERFMON
is more targeted. (See capabilities(7) man page for more on capabilities).
If your program fails with EACCES
or EPERM
when opening an event, check /proc/sys/kernel/perf_event_paranoid
and ensure your process has the necessary capabilities (e.g., run as root for testing, or use setcap
to grant cap_perfmon
to your executable: sudo setcap cap_perfmon+ep ./your_program
).
Other Key ioctl
Operations
Besides enable, disable, and reset, other ioctl
requests detailed in the perf_event_open(2) man page are useful:
PERF_EVENT_IOC_ID
: Retrieves the unique ID assigned by the kernel to an event. This is useful when reading grouped events withPERF_FORMAT_ID
to identify which count belongs to which event.
Common Challenges and Pitfalls
- Permissions: As discussed,
perf_event_paranoid
and missing capabilities are common hurdles. - Incorrect
perf_event_attr
: Setting thesize
field incorrectly or using invalidtype
/config
combinations will lead to errors (EINVAL
). - Event Scheduling Limits: A CPU’s Performance Monitoring Unit (PMU) has a limited number of physical counters. If you try to enable too many events in a group simultaneously,
perf_event_open
might succeed for each, but enabling the group viaioctl
might fail, or the kernel might resort to multiplexing. - Counter Multiplexing: If more events are monitored than available hardware counters, the kernel time-shares the counters. The
time_enabled
andtime_running
fields (if requested viaread_format
) can help account for this scaling, but it can reduce precision. - Forgetting to
close(fd)
: Event file descriptors are resources; always close them. Leaking FDs can lead to errors likeEMFILE
(too many open files). - Raw Event Codes (
PERF_TYPE_RAW
): These are CPU-specific and require consulting vendor manuals (Intel, AMD, ARM). Libraries likelibpfm4
(see libpfm official site) can help translate symbolic event names to raw codes.
Debugging Tips
- Check
errno
: Afterperf_event_open
or other syscalls fail,errno
provides valuable information (e.g.,EINVAL
,EACCES
,EMFILE
). strace ./your_program
: Shows the system calls being made and their return values, extremely useful for debugging parameters.- Start Simple: Begin with a single, well-known hardware event (e.g.,
PERF_COUNT_HW_INSTRUCTIONS
) before attempting complex groups or sampling. - Compare with
perf
tool: If you can achieve the desired monitoring withperf stat
orperf record
(see perf wiki orman perf
), it implies the events are supportable, and the issue likely lies in your C code’s configuration.
Advantages of Direct perf_event_open
Usage
While tools like perf
are convenient, direct C access offers:
- Fine-Grained Control: Precise configuration of events and their attributes.
- Custom Tool Development: Build specialized monitoring or profiling tools tailored to specific needs.
- Application Integration: Embed performance monitoring directly within applications for adaptive behavior or detailed logging.
- Reduced Overhead: For very specific measurements, direct access can sometimes be more lightweight than invoking a separate tool.
Alternatives to Direct Syscall Usage
perf
command-line tool: Excellent for general-purpose profiling and tracing. Easier to use for common tasks.- PAPI (Performance Application Programming Interface): A portable library that abstracts hardware counters across different architectures.
- Vendor-Specific Libraries/Tools: E.g., Intel VTune Profiler, AMD uProf. Often provide deep insights specific to their hardware.
libpfm4
: A helper library to translate event names to the machine-specific encodings needed forperf_event_attr.config
, especially forPERF_TYPE_RAW
events. (Official site: http://perfmon2.sourceforge.net/)
Conclusion
The perf_event_open
syscall is a potent interface for sophisticated performance analysis on Linux. By understanding its mechanics, the struct perf_event_attr
structure, and the nuances of permissions and event grouping, C developers can unlock fine-grained access to hardware performance counters. This capability enables the creation of highly customized monitoring solutions, deep-dives into application behavior, and a more profound understanding of system performance characteristics. While complex, the power and flexibility offered by perf_event_open
make it an invaluable tool in the arsenal of any serious systems developer or performance engineer.