Valgrind callgrind
E284621
Valgrind callgrind is a profiling tool within the Valgrind framework that analyzes program performance by collecting detailed information about function calls and instruction-level execution costs.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Valgrind callgrind canonical | 1 |
| Valgrind framework | 1 |
| callgrind | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2629602 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Valgrind callgrind Context triple: [gprof, relatedTo, Valgrind callgrind]
-
A.
gprof
gprof is a performance analysis tool that profiles program execution to help developers identify time-consuming functions and optimize their code.
-
B.
gcov
gcov is a test coverage analysis tool used with GCC to measure and report how much of a program’s source code is executed during runtime.
-
C.
aa-logprof
aa-logprof is a userspace AppArmor utility that analyzes system logs to help generate and refine security profiles for applications.
-
D.
DTrace
DTrace is a comprehensive dynamic tracing framework originally developed for Solaris that enables real-time, low-overhead observability and debugging of operating systems and applications.
-
E.
CSMonitor
CSMonitor is the abbreviated name for The Christian Science Monitor, an international news organization known for in-depth, balanced journalism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Valgrind callgrind Target entity description: Valgrind callgrind is a profiling tool within the Valgrind framework that analyzes program performance by collecting detailed information about function calls and instruction-level execution costs.
-
A.
gprof
gprof is a performance analysis tool that profiles program execution to help developers identify time-consuming functions and optimize their code.
-
B.
gcov
gcov is a test coverage analysis tool used with GCC to measure and report how much of a program’s source code is executed during runtime.
-
C.
aa-logprof
aa-logprof is a userspace AppArmor utility that analyzes system logs to help generate and refine security profiles for applications.
-
D.
DTrace
DTrace is a comprehensive dynamic tracing framework originally developed for Solaris that enables real-time, low-overhead observability and debugging of operating systems and applications.
-
E.
CSMonitor
CSMonitor is the abbreviated name for The Christian Science Monitor, an international news organization known for in-depth, balanced journalism.
- F. None of above. chosen
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
Valgrind tool
ⓘ
profiling tool ⓘ |
| alternativeName |
Callgrind tool
ⓘ
Valgrind callgrind ⓘ
surface form:
callgrind
|
| developer |
Valgrind core
ⓘ
surface form:
Valgrind project
|
| distribution | included with standard Valgrind releases ⓘ |
| feature |
collects call-graph based profiling data
ⓘ
supports branch prediction simulation ⓘ supports cache simulation ⓘ supports call stack based cost aggregation ⓘ supports collecting costs per object file ⓘ supports collecting costs per shared library ⓘ supports collecting costs per source file ⓘ supports cost attribution to callers and callees ⓘ supports cost centers per function and per call site ⓘ supports distinguishing inclusive and exclusive costs ⓘ supports dumping profiling data on demand ⓘ supports function-level and line-level cost summaries ⓘ supports instruction-level cost modeling ⓘ supports merging multiple runs ⓘ supports selective instrumentation via options ⓘ supports simulation of different cache configurations ⓘ supports starting and stopping instrumentation at runtime ⓘ |
| hasVisualizationTool |
KCachegrind
ⓘ
KCachegrind ⓘ
surface form:
QCachegrind
|
| invocationExample | valgrind --tool=callgrind ./program ⓘ |
| license | GNU General Public License ⓘ |
| measures |
basic block execution counts
ⓘ
branch prediction events (simulated) ⓘ cache-related events (simulated) ⓘ function call counts ⓘ instruction-level execution costs ⓘ |
| operatingSystem |
Linux
ⓘ
macOS ⓘ
surface form:
macOS (limited / via Valgrind ports)
|
| outputFormat | .out.callgrind text format ⓘ |
| partOf |
Valgrind callgrind
self-linksurface differs
ⓘ
surface form:
Valgrind framework
|
| primaryOutput |
annotated cost information per function
ⓘ
annotated cost information per source line ⓘ call graph ⓘ callgrind output file ⓘ |
| programmingLanguage | C ⓘ |
| requires | Valgrind core ⓘ |
| softwareGenre |
CPU profiler
ⓘ
code profiler ⓘ performance profiler ⓘ |
| supports |
C programs
ⓘ
C++ programs ⓘ other native code languages compiled to machine code ⓘ |
| typicalFilenamePrefix | callgrind.out. ⓘ |
| useCase |
analyze hot paths in call graphs
ⓘ
compare performance between program versions ⓘ identify performance bottlenecks in native applications ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Valgrind callgrind Description of subject: Valgrind callgrind is a profiling tool within the Valgrind framework that analyzes program performance by collecting detailed information about function calls and instruction-level execution costs.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.