Linux perf Profiler UIs
Linux perf Profiler UIs pprof Web UI looking at a flamechart of regexp stack traces. This post is a quick literature review of CPU profiler user interfaces available for analysing Linux program performance. I couldn't find any list of profiler UIs online. Hopefully this can help people find the profiler UI that's right for them. CPU Profiler output is extremely multidimensional — processes, thread
strace
linux syscall tracer Official repositories are at GitHub and GitLab. You can get latest binary packages from Fedora rawhide, OBS, Sisyphus. The latest officially signed release tarball can be found here. Development takes place on the mailing list (archive). Everyone is welcome to send bug reports, feature requests, comments and patches there. IRC channel: #strace@oftc. strace is released under th
PAPI
Overview The Performance Application Programming Interface (PAPI) supplies a consistent interface and methodology for collecting performance counter information from various hardware and software components, including most major CPUs, GPUs, accelerators, interconnects, I/O systems, and power interfaces, as well as virtual cloud environments. Industry liaisons with AMD, Cray, Intel, IBM, NVIDIA, an
Tiptop
Hardware performance monitoring counters have recently received a lot of attention. They have been used by diverse communities to understand and improve the quality of computing systems: for example, architects use them to extract application characteristics and propose new hardware mechanisms; compiler writers study how generated code behaves on particular hardware; software developers identify c
Valgrind
To use this tool, you must specify --tool=dhat on the Valgrind command line. DHAT is primarily a tool for examining how programs use their heap allocations. It tracks the allocated blocks, and inspects every memory access to find which block, if any, it is to. It presents, on a program point basis, information about these blocks such as sizes, lifetimes, numbers of reads and writes, and read and w
DTrace for Linux 2016
Recent posts: 28 Apr 2023 » eBPF Observability Tools Are Not Security Tools 01 Mar 2023 » USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon 17 Feb 2023 » USENIX SREcon APAC 2023: CFP 02 May 2022 » Brendan@Intel.com 15 Apr 2022 » Netflix End of Series 1 09 Apr 2022 » TensorFlow Library Performance 19 Mar 2022 » Why Don't You Use ... 26 Sep 2021 » The Speed of Time 06 Sep 2021 »
Igniting Node.js Flames
“Simple things bring infinite pleasure. Yet, it takes us a while to realize that. But once simple is in, complex it out – forever.” ― Joan F. Marques Now that I have your attention, let me clear up the word “flames.” The flames that I’m referring to have nothing to do with fire. All I am talking about is performance tools in Node.js. When it comes to performance, everyone thinks of fighting fires,
vmprof-flamegraph を作りました : DSAS開発者の部屋
vmprof-flamegraph を作ったのでその紹介をしておきます。 まず、サンプルとして Sphinx を使って Python のドキュメントをビルドしたときの vmprof 結果を flamegraph にしてみたので、どんなものかはこちらを見てみてください。 http://dsas.blog.klab.org/img_up/sphinx-prof.svg flamegraph について flamegraph の一般的な紹介については省略して、リンクだけ置いておきます。 公式サイト: http://www.brendangregg.com/FlameGraphs/cpuflamegraphs.html 日本語の紹介記事: http://d.hatena.ne.jp/yohei-a/20150706/1436208007 他にプロファイル結果をビジュアライズするツールとしては cac
iovisor/bcc: BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
BCC is a toolkit for creating efficient kernel tracing and manipulation programs, and includes several useful tools and examples. It makes use of extended BPF (Berkeley Packet Filters), formally known as eBPF, a new feature that was first added to Linux 3.15. Much of what BCC uses requires Linux 4.1 and above. eBPF was described by Ingo Molnár as: One of the more interesting features in this cycle
Linux perf Examples
Recent posts: 28 Apr 2023 » eBPF Observability Tools Are Not Security Tools 01 Mar 2023 » USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon 17 Feb 2023 » USENIX SREcon APAC 2023: CFP 02 May 2022 » Brendan@Intel.com 15 Apr 2022 » Netflix End of Series 1 09 Apr 2022 » TensorFlow Library Performance 19 Mar 2022 » Why Don't You Use ... 26 Sep 2021 » The Speed of Time 06 Sep 2021 »
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Dr. Memory is a memory monitoring tool capable of identifying memory-related programming errors such as accesses of uninitialized memory, accesses to unaddressable memory (including outside of allocated heap units and heap underflow and overflow), accesses to freed memory, double frees, memory leaks, and (on Windows) handle leaks, GDI API usage errors, and accesses to un-reserved thread local stor
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GitHub - KDE/heaptrack: A heap memory profiler for Linux
GitHub - plasma-umass/coz: Coz: Causal Profiling
GitHub - HewlettPackard/LinuxKI: LinuxKI Toolset (Trace-based performance analysis tool)
GitHub - wkz/ply: Light-weight Dynamic Tracer for Linux
GitHub - yoshinorim/quickstack: A tool to take call stack traces with minimal overheads
GitHub - openresty/openresty-systemtap-toolkit: Real-time analysis and diagnostics tools for OpenResty (including NGINX, LuaJIT, ngx_lua, and more) based on SystemTap
GitHub - RRZE-HPC/likwid: Performance monitoring and benchmarking suite
bcc: Taming Linux 4.3+ Tracing Superpowers
GitHub - what-studio/profiling: Was an interactive continuous Python profiler.
