Top 10 C++ Profiling Projects

tracy

57 7,814 9.6 C++

Frame profiler

Project mention: Tracy: Real-time nanosecond resolution frame profiler | news.ycombinator.com | 2024-03-22

hotspot

16 3,859 9.3 C++

The Linux perf GUI for performance analysis.

Project mention: Hotspot: A GUI for the Linux perf profiler | /r/C_Programming | 2023-09-12

InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
MTuner

5 2,553 8.6 C++

MTuner is a C/C++ memory profiler and memory leak finder for Windows, PlayStation 4 and 3, Android and other platforms

Project mention: MTuner: C/C memory profiler and memory leak finder | /r/hypeurls | 2023-06-25

palanteer

6 2,027 0.0 C++

Visual Python and C++ nanosecond profiler, logger, tests enabler
omnitrace

3 258 7.1 C++

Omnitrace: Application Profiling, Tracing, and Analysis

Project mention: What is your favourite profiling tool for C++? | /r/cpp | 2023-06-29

Omnitrace. Similar concept to VTune and Nsight Systems from AMD: profiling and/or tracing for CPU-only or CPU+GPU workloads: sampling, binary instrumentation, etc. Has more CPU-based information than Nsight Systems and supports binary rewrites for instrumentation which VTune lacks (runtime instrumentation only). Also supports causal profiling like COZ. Supports Python-based analysis/manipulation/filtering/comparison of traces and profiles. Other great tools: HPCToolkit, Caliper, and TAU.

externis

1 31 1.1 C++

Generate profiling traces for GCC

Project mention: Looking for some comparison on build times on recent GCC versions. | /r/cpp | 2023-06-18

This flag is useless for most cases of bad build times. You want something like clang's -ftime-trace or externis.

takedetour

1 30 2.8 C++

A template (and a sample) for writing tracers on Windows. Based on the Detours library.
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
gpu-kernel-runner

1 18 6.7 C++

Runs a single CUDA/OpenCL kernel, taking its source from a file and arguments from the command-line

Project mention: How Jensen Huang's Nvidia Is Powering the A.I. Revolution | news.ycombinator.com | 2023-11-29

> but all the alternatives require significant redesign in languages and tools people are unfamiliar with and we can't afford that overhead
Where I work, we've made it a principle to stay OpenCL-compatible even while going with NVIDIA due to their better-performing GPUs. I even go as far as writing kernels that can be compiled as either CUDA C++ or OpenCL-C, with a bit of duct-tape adapter headers:
https://github.com/eyalroz/gpu-kernel-runner/blob/main/kerne...
https://github.com/eyalroz/gpu-kernel-runner/blob/main/kerne...
of course, if you're working with higher-level frameworks then it's more difficult, and you depend on whether or not they provided different backends. So, no thrust for AMD GPUs, for example, but pytorch and TensorFlow do let you use them.

echion

1 12 8.3 C++

Near-zero-overhead, in-process CPython frame stack sampler with async support

Project mention: Memray – A Memory Profiler for Python | news.ycombinator.com | 2024-02-10

It is still in experimental stages, but would you be willing to test the memory mode of Echion? (https://github.com/P403n1x87/echion). It is essentially tracing of all memory allocations. Mind that, if an allocation is followed by a matching de-allocation, it won't be reported; so if you profile from start till end, and all the memory is released, the profile should be almost empty (in reality this will almost never be the case); this might explain why the data doesn't seem to make sense from the tools you have tried already (assuming they do a similar thing).

gpu_clock_stabilizer

1 6 0.0 C++

Simple GPU clock stabilizer for consistent profiling

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).