pprof
tracy
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pprof | tracy | |
---|---|---|
12 | 57 | |
7,362 | 7,642 | |
2.5% | - | |
7.6 | 9.6 | |
2 days ago | about 20 hours ago | |
Go | C++ | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pprof
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Why So Slow? Using Profilers to Pinpoint the Reasons of Performance Degradation
Because we couldn't identify the issue using the results we got from Callgrind, we reached for another profiler, gperftools. It's a sampling profiler and therefor it has a smaller impact on the application's performance in exchange for less accurate call statistics. After filtering out the unimportant parts and visualizing the rest with pprof, it was evident that something strange was happening with the send function. It took only 71 milliseconds with the previous implementation and more than 900 milliseconds with the new implementation of our Bolt server. It was very suspicious, but based on Callgrind, its cost was almost the same as before. We were confused as the two results seemed to conflict with each other.
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Improving the performance of your code starting with Go
github.com - google/pprof
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A Generic Approach to Troubleshooting
The application performances in a specific code path (e.g. gdb, pprof, …).
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Does rust have a visual analysis tool for memory and performance like pprof of golang?
pprof is https://github.com/google/pprof, it's a very useful tool in golang , and really really really convenient
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Tokio Console
Go also has pretty good out of the box profiling (pprof[0]) and third-party runtime debugging (delv[1]) that can be used both remotely and local.
These tools also have decent editor integration and can be use hand in hand:
https://blog.jetbrains.com/go/2019/04/03/profiling-go-applic...
https://blog.jetbrains.com/go/2020/03/03/how-to-find-gorouti...
Go has pprof (https://github.com/google/pprof), which I've heard good things about --- and, the pprof data model was one of the influences I looked at when designing the Tokio console's wire format. But, I'm not sure if pprof has any similar UIs to the one we've implemented for the Tokio console; and I haven't actually used it all that much.
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Cats and Clouds – There Are No Pillars in Observability with Yoshi Yamaguchi
And what we do in Google Cloud is that we still use the pprof. But it's a kind of forked version of the pprof because the visualization part is totally different. So we give that tool as the Cloud Profiler. So that is the product name. And then, the difference between the pprof and a Cloud Profiler is that Cloud Profiler provides the agent library for each famous programming language such as Java, Python, Node.js, and Go. And then what you need to do is to just write 5 to 10 lines of code in a new application. That launches the profile agent in your application as a subsidiary thread of the main thread. And then, that thread periodically collects the profile data of the application and then sends that data back to Google Cloud and the Cloud Profiler.
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Is there a way I can visualize all the function calls made while running the project(C++) in a graphical way?
gprftools (https://github.com/gperftools/gperftools) can be easily plugged in using LD_PRELOAD and signal, and has nice go implemented visualization tool https://github.com/google/pprof.
Would pprof's visualizations (especially the tree graph) work for you?
tracy
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Google/orbit – C/C++ Performance Profiler
i don't really think there is _anything_ that comes even close to tracy https://github.com/wolfpld/tracy.
on top of this, given google's penchant for dumping projects aka abandonware, this would be an easy pass.
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Immediate Mode GUI Programming
The RemedyBG debugger (https://remedybg.handmade.network/) and the Tracy profiler (https://github.com/wolfpld/tracy) both use Dear ImGui and so far I've only read high praise from people who used those tools compared to the 'established' alternatives.
For tools like this, programmers are also just "normal users", and from the developer side, I'm sure they evaluated various alternatives with all their pros and cons before settling for Dear ImGui.
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What is your favourite profiling tool for C++?
I've not actually used Superluminal, but I use Tracy for similar reasons. It's free though (and, importantly, open source).
Tracy and integrated VS profiler.
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My first game engine
For profiling, you can check tracy.
You might also consider building some support for tracing and profiling directly into your engine using Tracy or easy_profiler.
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Sharing Saturday #462
There is no such thing as overengineering in fun projects, so I've also adopted Tracy as profiling solution. Works quite nice and gonna save me plenty of times in the future debugging performance spikes on badly optimized math heavy operations.
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Debugging and profiling embedded applications.
I know about tools such as tracing, jaeger or tracy. While having a complete tracing could be a potential solution, these tools don't work with no_std.
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We're still not game, but there has been progress. A progress report.
Profiling on the CPU side is well handled by tracy, which is a game-oriented profiler. My programs render-bench and ui-mock are prepped for Tracy, as is Rend3, so you can try it out on them.
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Will Treesitter ever be stable on big files?
I also found that using https://github.com/wolfpld/tracy with tree-sitter functions marked in Neovim that some individual queries and parse operation would have significant perf impact while other do not and that there are some parsers who tend to not really support incremental parsing but often need to throw away from cursor position until file end on certain character. We would need more infrastructure and built-in profiling to detect problems in certain languages earlier.
What are some alternatives?
optick - C++ Profiler For Games
orbit - C/C++ Performance Profiler
palanteer - Visual Python and C++ nanosecond profiler, logger, tests enabler
gperftools - Main gperftools repository
prometheus - The Prometheus monitoring system and time series database.
jaeger - CNCF Jaeger, a Distributed Tracing Platform
parallel-hashmap - A family of header-only, very fast and memory-friendly hashmap and btree containers.
parca - Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
STL - MSVC's implementation of the C++ Standard Library.
massif-visualizer - Visualizer for Valgrind Massif data files
ImFrame - dear imgui + glfw framework