performance.tools.md

C++ links: performance tools

Benchmarking

Benchmarking: Software

ankerl::nanobench: a platform independent microbenchmarking library for C++11/14/17/20
- https://github.com/martinus/nanobench
- https://nanobench.ankerl.com/
benchmark (Google)
- https://github.com/google/benchmark
- https://opensource.googleblog.com/2014/01/introducing-benchmark.html
BestGuess: Command-line benchmarking tool
- a tool for command-line benchmarking, sometimes called "macro-benchmarking" because entire programs are measured
- https://bestguess.org/
- https://gitlab.com/JamieTheRiveter/bestguess
Celero
- https://github.com/DigitalInBlue/Celero
hayai: the C++ benchmarking framework
- https://github.com/nickbruun/hayai
HdrHistogram: A High Dynamic Range (HDR) Histogram
- https://hdrhistogram.github.io/HdrHistogram/
- https://github.com/HdrHistogram/HdrHistogram_c
- Understanding Latency and Response Time: Pitfalls and Key Lessons
- How Not to Measure Latency
geiger: A micro benchmark library in C++ that supports hardware performance counters
- https://github.com/david-grs/geiger
moodycamel::microbench
- https://github.com/cameron314/microbench
Nonius: A C++ micro-benchmarking framework
- https://github.com/libnonius/nonius
NVBench: CUDA Kernel Benchmarking Library
- https://github.com/NVIDIA/nvbench
picobench: A micro microbenchmarking library for C++11 in a single header file
- https://github.com/iboB/picobench
ubench.h: single header benchmark framework for C and C++
- https://github.com/sheredom/ubench.h
- https://www.duskborn.com/posts/introducing_ubench_h/

Benchmarking: Readings

Micro benchmarking libraries for C++
Performance Analysis and Tuning on Modern CPU
- https://book.easyperf.net/perf_book
- https://github.com/dendibakh/perf-book
Systems Benchmarking Crimes - Gernot Heiser - https://www.cse.unsw.edu.au/~gernot/benchmarking-crimes.html

Memory

Memory: Benchmarking

Intel Memory Latency Checker (MLC)
- a tool used to measure memory latencies and bandwidth, and how they change with increasing load on the system
- https://www.intel.com/software/mlc
Memory Bandwidth Benchmark
- MBW determines the "copy" memory bandwidth available to userspace programs. Its simplistic approach models that of real applications. It is not tuned to extremes and it is not aware of hardware architecture, just like your average software package.
- https://github.com/raas/mbw
Multichase: a pointer chaser benchmark
- Multiload - a superset of multichase which runs latency, memory bandwidth, and loaded-latency
- https://github.com/google/multichase
pmbw: Parallel Memory Bandwidth Benchmark / Measurement
- a set of assembler routines to measure the parallel memory (cache and RAM) bandwidth of modern multi-core machines
- http://panthema.net/2013/pmbw/
- https://github.com/bingmann/pmbw
Spatter: Benchmark for measuring the performance of sparse and irregular memory access
- https://github.com/hpcgarage/spatter
- Spatter: A Tool for Evaluating Gather / Scatter Performance
  - https://arxiv.org/abs/1811.03743
STREAM: Sustainable Memory Bandwidth in High Performance Computers
- http://www.cs.virginia.edu/stream/
- STREAM benchmark - https://github.com/jeffhammond/STREAM
- NUMA-STREAM - https://github.com/larsbergstrom/NUMA-STREAM
- BabelStream: STREAM, for lots of devices written in many programming models
  - https://github.com/UoB-HPC/BabelStream
  - http://uob-hpc.github.io/BabelStream/
TheBandwidthBenchmark
- https://github.com/RRZE-HPC/TheBandwidthBenchmark
- https://hpc-wiki.info/hpc/Micro_benchmarking#The_Bandwidth_Benchmark
- a collection of simple streaming kernels; apart from the micro-benchmark functionality also a blueprint for other micro-benchmark applications; contains C modules for: aligned data allocation, query and control affinity settings, accurate timing
tinymembench: simple benchmark for memory throughput and latency
- https://github.com/ssvb/tinymembench

Memory: Profiling

Memory: Profiling: Readings

Examining Problematic Memory in C/C++ Applications with BPF, perf, and Memcheck
- 2021-04-01
- Filip Busic
- https://careersatdoordash.com/blog/examining-problematic-memory-with-bpf-perf-and-memcheck/
Memory Profiling
- 2024; Denis Bakhvalov
- 1. Introduction, Memory Usage Case Study (Heaptrack), Memory Footprint with Intel SDE, Memory Footprint Case Study, Data Locality and Reuse Distances
  - https://easyperf.net/blog/2024/02/12/Memory-Profiling-Part1
- 2. Memory Usage Case Study
  - https://easyperf.net/blog/2024/02/12/Memory-Profiling-Part2
- 3. Memory Footprint with SDE
  - https://easyperf.net/blog/2024/02/12/Memory-Profiling-Part3
- 4. Memory Footprint Case Study
  - https://easyperf.net/blog/2024/02/12/Memory-Profiling-Part4
- 5. Data Locality and Reuse Distances
  - https://easyperf.net/blog/2024/02/12/Memory-Profiling-Part5
PROMPT: A Fast and Extensible Memory Profiling Framework
- OOPSLA 2024
- Ziyang Xu, Yebin Chon, Yian Su, Zujun Tan, Sotiris Apostolakis, Simone Campanoni, David I. August
- https://doi.org/10.1145/3649827
- https://liberty.princeton.edu/Publications/oopsla24_prompt.pdf
- https://www.youtube.com/watch?v=rj23NkvujfA
- https://github.com/PrincetonUniversity/PROMPT
- 2024 Ph.D. dissertation
- Ziyang Xu
- http://arks.princeton.edu/ark:/88435/dsp0137720h12v

Memory: Profiling: Software

Bytehound: a memory profiler for Linux
- https://github.com/koute/bytehound
Heaptrack: A Heap Memory Profiler for Linux
MALT & NUMAPROF: Memory Profiling for HPC Applications
- NUMAPROF: a NUMA memory profiler based on Pintool to track remote memory accesses
  - https://memtt.github.io/numaprof
  - https://github.com/memtt/numaprof
- MALT: a MALloc Tracker to find where and how your made your memory allocations in C/C++/Fortran applications
  - https://memtt.github.io/malt/
  - https://github.com/memtt/malt
  - MALT: A Malloc Tracker
    - International Workshop on Software Engineering for Parallel Systems (SEPS) 2017
    - Sébastien Valat, Andres S. Charif-Rubial, William Jalby
    - paper: https://memtt.github.io/malt/downloads/2017-seps-malt.pdf
    - slides: https://svalat.github.io/docs/2017-10-MALT-SEPS17.pdf
  - FOSDEM 2019; Sébastien Valat
    - https://www.youtube.com/watch?v=TnMOjdIy_Ow
    - https://fosdem.org/2019/schedule/event/numaprof/
Memoro: A Detailed Heap Profiler
- https://epfl-vlsc.github.io/memoro/
- https://github.com/epfl-vlsc/memoro
- Detailed Heap Profiling
  - International Symposium on Memory Management (ISMM) 2018
  - Stuart Byma, Jim Larus
  - https://dl.acm.org/citation.cfm?id=3210564
- Memoro: Scaling an LLVM-based Heap profiler
  - 2019 LLVM Developers’ Meeting; Thierry Treyer
  - https://www.youtube.com/watch?v=fm47XsATelI
  - https://llvm.org/devmtg/2019-10/slides/Treyer-Memoro.pdf
memory-profiler: A memory profiler for Linux
- https://github.com/koute/memory-profiler
memtrail: A LD_PRELOAD based memory profiler and leak detector for Linux
- https://github.com/jrfonseca/memtrail
memusage: profile memory usage of a program
- http://man7.org/linux/man-pages/man1/memusage.1.html
mstat: measure memory usage of a program over time (Linux)
- fine-grained, cgroup-based tool for profiling memory usage over time of a process tree
- https://github.com/bpowers/mstat
MTuner: a C/C++ memory profiler and memory leak finder for Windows, PlayStation 4, PlayStation 3, etc.
- https://milostosic.github.io/MTuner/
- https://github.com/milostosic/MTuner
Object Introspection: Dynamic C++ Object Profiling
- enables on-demand, hierarchical profiling of objects in arbitrary C & C++ programs with no recompilation
- https://github.com/facebookexperimental/object-introspection
- https://facebookexperimental.github.io/object-introspection/
- Object Introspection: A C++ Memory Profiler
  - CppCon 2023
  - Jonathan Haslam & Aditya Sarwade
  - https://www.youtube.com/watch?v=6IlTs8YRne0
  - https://github.com/CppCon/CppCon2023/blob/main/Presentations/object_introspection_cppcon.pdf
PerfMemPlus: A Tool for Automatic Discovery of Memory Performance Problems
- Tool for memory performance analysis based on Linux perf.
- https://github.com/helchr/perfMemPlus
- PerfMemPlus: A Tool for Automatic Discovery of Memory Performance Problems
  - ISC 2019
  - Christian Helm, Kenjiro Taura
  - https://doi.org/10.1007/978-3-030-20656-7_11
- On the Correct Measurement of Application Memory Bandwidth and Memory Access Latency
  - HPC Asia 2020
  - Christian Helm, Kenjiro Taura
  - https://doi.org/10.1145/3368474.3368476
Poireau: a sampling allocation debugger
- https://github.com/backtrace-labs/poireau
Typegrind
- a type preserving heap profiler for C++ - collects memory allocation information with type information
- https://typegrind.github.io/
- https://github.com/typegrind/typegrind
Valgrind
- http://valgrind.org/
- DHAT: a dynamic heap analysis tool - http://valgrind.org/docs/manual/dh-manual.html
- Massif: a heap profiler - http://valgrind.org/docs/manual/ms-manual.html

Memory: Profiling: Talks

How to Write a Heap Memory Profiler
- CppCon 2019
- Milian Wolff
- https://www.youtube.com/watch?v=YB0QoWI-g8E
- Slides & code: https://github.com/milianw/how-to-write-a-memory-profiler
Is Your C++ Code Leaking Memory? Discover the Power of Ownership-Aware Profiling
- CppCon 2025
- Alecto Irene Perez
- https://www.youtube.com/watch?v=U23WkMWIkkE
- https://github.com/CppCon/CppCon2025/blob/main/Presentations/Where'd_all_that_RAM_Go.pdf
- mem_profile: an Ownership-Aware Memory Profiler
  - https://github.com/codeinred/mem_profile

Microarchitecture

Tools for microarchitectural benchmarking
- https://dendibakh.github.io/blog/2018/04/03/Tools-for-microarchitectural-benchmarking
AnICA: Analyzing Inconsistencies in Microarchitectural Code Analyzers
- OOPSLA 2022
- Fabian Ritter, Sebastian Hack
- https://dl.acm.org/doi/10.1145/3563288
- https://arxiv.org/abs/2209.05994
- https://github.com/cdl-saarland/AnICA
- https://compilers.cs.uni-saarland.de/projects/anica/
asmbench: A Benchmark Toolkit for Assembly Instructions Using the LLVM JIT
- https://github.com/RRZE-HPC/asmbench
- OoO Instruction Benchmarking Framework on the Back of Dragons
  - 2018 SC18 ACM SRC Poster
  - J. Hammer, G. Hager, G. Wellein
  - https://sc18.supercomputing.org/proceedings/src_poster/src_poster_pages/spost115.html
BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models
- IISWC 2019
- Yishen Chen, Ajay Brahmakshatriya, Charith Mendis, Alex Renda, Eric Atkinson, Ondrej Sykora, Saman Amarasinghe, Michael Carbin
- http://groups.csail.mit.edu/commit/papers/19/ithemal-measurement.pdf
- https://github.com/ithemal/bhive
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation
- 2022 IEEE International Symposium on Workload Characterization (IISWC)
- Ondrej Sykora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh
- https://arxiv.org/abs/2210.03894
- Gematria - machine learning for machine code
  - Contains sources of Gematria, a framework for machine learning on machine code. It includes implementations of the GRANITE model and the Ithemal hierarchical LSTM model for learning inverse throughput of basic blocks.
  - https://github.com/google/gematria
Intel Architecture Code Analyzer (IACA)
- https://software.intel.com/en-us/articles/intel-architecture-code-analyzer
ibench: Measure instruction latency and throughput
- https://github.com/hofm/ibench
Ithemal: Instruction THroughput Estimator using MAchine Learning
- https://github.com/psg-mit/Ithemal
- Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks
  - ICML 2019
  - Charith Mendis, Alex Renda, Saman Amarasinghe, Michael Carbin
  - https://arxiv.org/abs/1808.07412
  - http://proceedings.mlr.press/v97/mendis19a.html
llvm-exegesis – LLVM Machine Instruction Benchmark
- https://llvm.org/docs/CommandGuide/llvm-exegesis.html
- https://github.com/llvm/llvm-project/tree/main/llvm/tools/llvm-exegesis
- Static Performance Analysis with LLVM
  - 2018 European LLVM Developers Meeting
  - C. Courbet, O. Sykora, G. Chatelet, B. De Backer
  - https://youtu.be/XinMk-t8N-w
  - http://llvm.org/devmtg/2018-04/slides/Courbet-Static%20Performance%20Analysis%20with%20LLVM.pdf
- Measuring x86 instruction latencies with LLVM
  - 2018 European LLVM Developers Meeting
  - G. Chatelet, C. Courbet, B. De Backer, O. Sykora
  - https://youtu.be/ex_C27OoApI
  - http://llvm.org/devmtg/2018-04/slides/Chatelet-Measuring%20x86%20instruction%20latencies%20with%20LLVM.pdf
llvm-mca - LLVM Machine Code Analyzer
- https://llvm.org/docs/CommandGuide/llvm-mca.html
- https://github.com/llvm/llvm-project/tree/main/llvm/tools/llvm-mca
- Understanding the performance of code using LLVM's Machine Code Analyzer (llvm-mca)
  - 2018 LLVM Developers’ Meeting; Andrea Di Biagio & Matt Davis
  - https://www.youtube.com/watch?v=Ku2D8bjEGXk
- MC Ruler: Seamless llvm-mca CMake integration
  - https://github.com/jeremyong/mc_ruler
- DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates
  - MICRO 2020
  - Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
  - https://arxiv.org/abs/2010.04017
  - https://github.com/ithemal/DiffTune
  - https://www.youtube.com/watch?v=7sN2YsqgPLY
microarchitecturometer: Measures microarchitectural details
- Measures microarchitectural details such as ROB size.
- https://github.com/Veedrac/microarchitecturometer
nanoBench: A tool for running small microbenchmarks on recent Intel and AMD x86 CPUs
- used for running the microbenchmarks for obtaining the latency, throughput, and port usage data available on http://uops.info
- https://github.com/andreas-abel/nanoBench
- https://uops.info/
- nanoBench Cache Analyzer
  - https://github.com/andreas-abel/nanoBench/tree/master/tools/CacheAnalyzer
  - https://uops.info/cache.html
- Automatic Generation of Models of Microarchitectures
  - 2020 PhD Dissertation; Andreas Abel
  - https://d-nb.info/1212853466/34
  - https://dx.doi.org/10.22028/D291-31299
- uops.info: Characterizing Latency, Throughput, and Port Usage of Instructions on Intel Microarchitectures
  - ASPLOS 2019
  - Andreas Abel, Jan Reineke
  - https://arxiv.org/abs/1810.04610
- nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems
  - 2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
  - Andreas Abel, Jan Reineke
  - https://arxiv.org/abs/1911.03282
  - https://www.youtube.com/watch?v=DEN4UteY4Sg
Open Power/Performance Analysis Tool (OPPAT)
- a cross-OS, cross-architecture Power and Performance Analysis Tool
- cross-OS: supports Windows ETW trace files and Linux/Android perf/trace-cmd trace files
- cross-architecture: supports Intel and ARM chips hardware events (using perf and/or PCM)
- https://patinnc.github.io/
- https://github.com/patinnc/oppat
OSACA: Open Source Architecture Code Analyzer
- https://github.com/RRZE-HPC/osaca
- https://hpc.fau.de/research/tools/
- Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures
  - Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) 2018
  - Jan Laukemann, Julian Hammer, Johannes Hofmann, Georg Hager, Gerhard Wellein
  - https://arxiv.org/abs/1809.00912
- Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels
  - arXiv 2019
  - Jan Laukemann, Julian Hammer, Georg Hager, Gerhard Wellein
  - https://arxiv.org/abs/1910.00214
  - https://github.com/RRZE-HPC/OSACA-CP-2019
- Cross-Architecture Automatic Critical Path Detection For In-Core Performance Analysis
  - 2020 Master Thesis; Jan Laukemann
  - https://hpc.fau.de/files/2020/02/Masterarbeit_JL-_final.pdf
  - Measurements and reproducibility instructions
    - https://github.com/RRZE-HPC/OSACA-Artifact-Appendix
- Microarchitectural Comparison and In-Core Modeling of State-of-the-Art CPUs: Grace, Sapphire Rapids, and Genoa
  - IEEE International Workshop on Performance Modeling, Benchmarking, and Simulation of High-Performance Computer Systems (PMBS) 2024
  - Jan Laukemann, Georg Hager, Gerhard Wellein
  - https://arxiv.org/abs/2409.08108
  - https://conferences.computer.org/sc-wpub/pdfs/SC-W2024-6oZmigAQfgJ1GhPL0yE3pS/555400b405/555400b405.pdf
PALMED: Throughput Characterization for Superscalar Architectures
- CGO 2022
- Nicolas Derumigny, Fabian Gruber, Théophile Bastian, Christophe Guillon, Guillaume Iooss, Louis-Noël Pouchet, Fabrice Rastello
- https://palmed.corse.inria.fr
- https://arxiv.org/abs/2012.11473
- https://www.youtube.com/watch?v=xxeVsu1hvsk
- https://gitlab.inria.fr/nderumig/palmed
- "PALMED is a framework aiming to automatically provide a precise performance model for a processor. It works by inferring a port mapping of a given processor and deducing the resource usage of each relevant instruction."
PMEvo: Portable Inference of Port Mappings for Out-of-Order Processors by Evolutionary Optimization
- PLDI 2020
- Fabian Ritter, Sebastian Hack
- https://compilers.cs.uni-saarland.de/papers/ritter_pmevo_pldi20.pdf
- https://compilers.cs.uni-saarland.de/projects/portmap/
- https://github.com/cdl-saarland/pmevo-artifact
pmtestbench: Port Mapping Testbench
- A set of tools to infer port mappings of out-of-order CPUs from throughput microbenchmarks
- https://github.com/cdl-saarland/pmtestbench
- Explainable Port Mapping Inference with Sparse Performance Counters for AMD's Zen Architectures
  - International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2024
  - Fabian Ritter, Sebastian Hack
  - https://arxiv.org/abs/2403.16063
  - https://doi.org/10.1145/3620666.3651363
timing-harness: Harness for profiling arbitrary basic blocks.
- https://github.com/ithemal/timing-harness
uarch-bench: A benchmark for low-level CPU micro-architectural features
- https://github.com/travisdowns/uarch-bench
uiCA - The uops.info Code Analyzer
- https://uica.uops.info/
- https://github.com/andreas-abel/uiCA
- Accurate Throughput Prediction of Basic Blocks on Recent Intel Microarchitectures
  - 2021
  - Andreas Abel, Jan Reineke
  - https://arxiv.org/abs/2107.14210
- Facile: Fast, Accurate, and Interpretable Basic-Block Throughput Prediction
  - IEEE International Symposium on Workload Characterization (IISWC) 2023
  - Andreas Abel, Shrey Sharma, Jan Reineke
  - https://arxiv.org/abs/2310.13212

Microarchitecture: Readings

Fast and Accurate Context-Aware Basic Block Timing Prediction using Transformers
- ACM SIGPLAN International Conference on Compiler Construction (CC) 2024
- Abderaouf Nassim Amalou, Elisa Fromont, Isabelle Puaut
- https://hal.science/hal-04406073
Inferring and Analyzing Microarchitectural Performance Models
- 2024 PhD Dissertation
- Fabian Ritter
- https://dx.doi.org/10.22028/D291-43305
- http://hdl.handle.net/20.500.11880/38955
Machine learning for timing estimation
- 2024 PhD Dissertation
- Abderaouf Nassim Amalou
- https://hal.science/tel-04406029

Optimization

BOLT: Binary Optimization and Layout Tool
- A linux command-line utility used for optimizing performance of binaries
- https://github.com/facebookincubator/BOLT
- Accelerate large-scale applications with BOLT
  - https://code.fb.com/data-infrastructure/accelerate-large-scale-applications-with-bolt/
- Building Binary Optimizer with LLVM
  - 2016 EuroLLVM Developers' Meeting; Maksim Panchenko
  - https://llvm.org/devmtg/2016-03/Presentations/BOLT_EuroLLVM_2016.pdf
  - https://www.youtube.com/watch?v=gw3iDO3By5Y
- BOLT: A Practical Binary Optimizer for Data Centers and Beyond
  - Maksim Panchenko, Rafael Auler, Bill Nell, Guilherme Ottoni
  - https://arxiv.org/abs/1807.06735
- BOLT tutorial on AArch64 and how it competes or complements other PGOs
  - 2025 US LLVM Developers' Meeting
  - Paschalis Mpeis
  - https://www.youtube.com/watch?v=KdHtOMc5_c8
  - https://llvm.org/devmtg/2025-10/slides/tutorials/mpeis.pdf
MAQAO (Modular Assembly Quality Analyzer and Optimizer)
- http://www.maqao.org/
- https://gitlab.exascale-computing.eu/MAQAO/MAQAO

Profiling

0x.Tools: Always-on Profiling for Production Systems (Linux)
- https://0x.tools/
- https://github.com/tanelpoder/0xtools
Agner Fog's test programs for measuring clock cycles and performance monitoring
- http://www.agner.org/optimize/#testp
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
- https://iovisor.github.io/bcc/
- https://github.com/iovisor/bcc
- https://github.com/iovisor/bpf-docs
- http://www.brendangregg.com/blog/2016-03-05/linux-bpf-superpowers.html
- http://www.brendangregg.com/blog/2016-03-28/linux-bpf-bcc-road-ahead-2016.html
- http://www.brendangregg.com/blog/2016-06-14/ubuntu-xenial-bcc-bpf.html
- https://qmonnet.github.io/whirl-offload/2016/09/01/dive-into-bpf/
Caliper: A Performance Analysis Toolbox in a Library
- an instrumentation and performance profiling library
- https://github.com/LLNL/Caliper
- SPOT: a web-based visualization for ubiquitous performance data
  - https://github.com/llnl/spot2_container
- Automating Application Performance Analysis with Caliper, SPOT, and Hatchet
  - 2021 ECP Annual Meeting
  - David Boehme, Matthew LeGendre, Abhinav Bhatele, Olga Pearce
  - https://www.youtube.com/watch?v=p8gjA6rbpvo
  - https://www.exascaleproject.org/event/perfanalysis/
Coz: Finding Code that Counts with Causal Profiling
- https://github.com/plasma-umass/coz/
- Charlie Curtsinger, Emery Berger
- SOSP 2015
  - https://www.sigops.org/sosp/sosp15/current/2015-Monterey/printable/090-curtsinger.pdf
- ;login: 41(2) (2016)
  - https://www.usenix.org/publications/login/summer2016/curtsinger
- Performance Matters - Strange Loop 2019; Emery Berger
  - https://www.youtube.com/watch?v=r-TLSBdHe1A
- Coz vs. Sampling Profilers
  - https://easyperf.net/blog/2020/02/26/coz-vs-sampling-profilers
easy_profiler: Lightweight cross-platform profiler library for C++
- https://github.com/yse/easy_profiler
gperftools (originally Google Performance Tools)
- "The fastest malloc we’ve seen; works particularly well with threads and STL. Also: thread-friendly heap-checker, heap-profiler, and cpu-profiler."
- https://github.com/gperftools/gperftools
gprofng: The Next-Generation GNU Profiling Tool
- NHR PerfLab Seminar 2022; Ruud van der Pas
  - https://www.youtube.com/watch?v=CXIjNFF17YY
  - https://hpc.fau.de/2022/03/31/nhr-perflab-seminar-gprofng-the-next-generation-gnu-profiling-tool/
HawkTracer
- a highly portable, low-overhead, configurable profiling tool for getting performance metrics from low-end devices
- Linux, Windows, macOS; C & C++ library; Python & Rust wrappers
- https://www.hawktracer.org/
- https://github.com/amzn/hawktracer
- Low-end platform profiling with HawkTracer profiler
  - FOSDEM 2020; Marcin Kolny
  - https://fosdem.org/2020/schedule/event/debugging_hawktrace/
Hotspot - the Linux perf GUI for performance analysis
- https://www.kdab.com/hotspot-gui-linux-perf-profiler/
- https://github.com/KDAB/hotspot
- https://www.kdab.com/hotspot-video/
Likwid: Performance monitoring and benchmarking suite
- https://github.com/RRZE-HPC/likwid
- https://github.com/RRZE-HPC/likwid/wiki
- https://github.com/RRZE-HPC/likwid/wiki/TutorialStart
- https://github.com/RRZE-HPC/likwid/wiki/likwid-perfctr
- https://github.com/RRZE-HPC/likwid/wiki/TutorialMarkerC
- https://github.com/RRZE-HPC/likwid/wiki/PatternsHaswellEP
magic-trace: collects and displays high-resolution traces of what a process is doing
- "use it like perf: point it to a process and off it goes. The key difference from perf is that instead of sampling call stacks throughout time, magic-trace uses Intel Processor Trace to snapshot a ring buffer of all control flow leading up to a chosen point in time. Then, you can explore an interactive timeline of what happened."
- https://magic-trace.org/
- https://github.com/janestreet/magic-trace
microprofile: an embeddable profiler
- https://github.com/jonasmr/microprofile
not-perf: A sampling CPU profiler for Linux
- https://github.com/koute/not-perf
Optick: C++ Profiler For Games
- https://github.com/bombomby/optick
- https://optick.dev/
Palanteer: visual Python and C++ profiler
- https://github.com/dfeneyrou/palanteer
perf
- https://perf.wiki.kernel.org/
- http://www.brendangregg.com/perf.html
- https://github.com/torvalds/linux/tree/master/tools/perf/Documentation
- https://suchakra.wordpress.com/2016/06/17/deconstructing-perfs-data-file/
- http://www.brendangregg.com/linuxperf.html
- Latency Profiling and Optimization
  - Zürich C++ Meetup 2025
  - Dmitry Vyukov
  - https://www.youtube.com/watch?v=lv03NAT4Mwc
perf-tools - https://github.com/brendangregg/perf-tools
perf_events: The Unofficial Linux Perf Events Web-Page
- http://web.eece.maine.edu/~vweaver/projects/perf_events/
perfmon2 - http://perfmon2.sourceforge.net/
- "Perfmon2 aims to be a portable interface across all modern processors. It is designed to give full access to a given PMU and all the corresponding hardware performance counters. Typically the PMU hardware implementations use a different number of registers, counters with different length and possibly other unique features, a complexity that the software has to cope with. Although processors have different PMU implementations, they usually use configurations registers and data registers. Perfmon2 provides a uniform abstract model of these registers and exports read/write operations accordingly."
Perfetto - System profiling, app tracing, and trace analysis
- Performance instrumentation and tracing for Android, Linux, and Chrome
- https://github.com/google/perfetto
- https://perfetto.dev/
- https://perfetto.dev/docs/
Perforator: a cluster-wide continuous profiling tool designed for large data centers
- Perforator is a production-ready, open-source Continuous Profiling app that can collect CPU profiles from your production without affecting its performance, made by Yandex and inspired by Google-Wide Profiling.
- https://github.com/yandex/perforator
Performance Application Programming Interface (PAPI)
- http://icl.cs.utk.edu/papi/
- http://icl.cs.utk.edu/projects/papi/wiki/Main_Page
- http://www.drdobbs.com/tools/performance-monitoring-with-papi/184406109
- papi-wrapper (C++ library) - https://github.com/sean-chester/papi-wrapper
- libpapipp: A C++ wrapper around libpapi - https://github.com/david-grs/papipp
pmu tools: Intel PMU profiling tools
- https://github.com/andikleen/pmu-tools
- https://github.com/andikleen/pmu-tools/wiki/toplev-manual
- pmu-tools part I - introduction, ocperf - http://halobates.de/blog/p/245
- pmu-tools part II - toplev - http://halobates.de/blog/p/262
Processor Counter Monitor (PCM)
- https://github.com/opcm/pcm
- Intel Performance Counter Monitor (PCM) - http://www.intel.com/software/pcm
Profilerpedia: A map of the Software Profiling Ecosystem
- https://www.markhansen.co.nz/profilerpedia/
- https://docs.google.com/spreadsheets/d/1cVcHofphkQqk1yGeuBPVTit8HQ0oa5SlRM6gkHIagtw
Remotery: Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer
- https://github.com/Celtoys/Remotery
samply: Command-line sampling profiler for macOS and Linux
- https://github.com/mstange/samply
Strobelight: Meta's fleetwide profiler framework
- https://github.com/facebookincubator/strobelight
sysdig
- https://github.com/draios/sysdig
- https://sysdig.com/blog/50-shades-of-system-calls/
timemory: Timing + Memory + Hardware Counter Utilities for C / C++ / CUDA / Python
- Linux, macOS, Windows
- https://github.com/NERSC/timemory
- Timemory: Modular Performance Analysis for HPC
  - ISC 2020
  - Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Leonid Oliker, Yunsong Wang, Charlene Yang, Samuel Williams
  - https://doi.org/10.1007/978-3-030-50743-5_22
Tracy Profiler
- Tracy is a real time, nanosecond resolution frame profiler that can be used for remote or embedded telemetry of your application. It can profile CPU (C++, Lua), GPU (OpenGL, Vulkan) and memory. It also can display locks held by threads and their interactions with each other.
- https://github.com/wolfpld/tracy
- Introduction to the Tracy profiler - https://www.youtube.com/watch?v=fB5B46lbapc
- How does Tracy markup become UI item?
  - a tour of various internal systems to understand how data is processed to be presented to users
  - https://wolf.nereid.pl/posts/tracy-internals/

Profiling: MPI

mpiP: A light-weight MPI profiler
- https://github.com/LLNL/mpiP
- https://software.llnl.gov/mpiP/

Profiling: Output

cpuprofilify: Converts output of various profiling/sampling tools to the .cpuprofile format so it can be loaded into Chrome DevTools.
- https://github.com/thlorenz/cpuprofilify
gprof2dot
- "Python script to convert the output from many profilers into a dot graph."
- https://github.com/jrfonseca/gprof2dot

Profiling: Windows

Event Tracing for Windows (ETW) / Windows Performance Toolkit – Xperf
- https://blogs.msdn.microsoft.com/ntdebugging/2008/04/03/windows-performance-toolkit-xperf/
- ETW Central: https://randomascii.wordpress.com/2015/09/24/etw-central/
Profile Explorer: a tool for viewing CPU profiling traces collected through the Event Tracing for Windows (ETW)
- https://github.com/microsoft/profile-explorer
WindowsPerf: (Linux perf inspired) Windows on Arm performance profiling tool
- https://gitlab.com/Linaro/WindowsPerf/windowsperf

Timing

libcpucycles: library to count CPU cycles
- Supports counters for amd64 (both PMC and TSC), arm32, arm64 (both PMC and VCT), mips64, ppc32, ppc64, riscv32, riscv64, sparc64, and x86, plus automatic fallbacks to various OS-level timing mechanisms.
- https://cpucycles.cr.yp.to
low-overhead-timers: Very low-overhead timer/counter interfaces for C on Intel 64 processors
- https://github.com/jdmccalpin/low-overhead-timers
- Comments on timing short code sections on Intel processors
  - http://sites.utexas.edu/jdm4372/2018/07/23/comments-on-timing-short-code-sections-on-intel-processors/
plf::nanotimer
- A simple C++03/11/etc timer class for ~microsecond-precision cross-platform benchmarking. The implementation is as limited and as simple as possible to create the lowest amount of overhead.
- https://github.com/mattreecebentley/plf_nanotimer

Visualization

Flame Graphs
- http://www.brendangregg.com/flamegraphs.html
- http://queue.acm.org/detail.cfm?id=2927301
- Memory Leak (and Growth) Flame Graphs
  - http://www.brendangregg.com/FlameGraphs/memoryflamegraphs.html
FlameScope: a visualization tool for exploring different time ranges as Flame Graphs
- https://github.com/Netflix/flamescope
- Netflix FlameScope - https://medium.com/@NetflixTechBlog/netflix-flamescope-a57ca19d47bb
GOoDA (Generic Optimization Data Analyzer): PMU event data analysis package
- Gooda is a pmu event data analysis package that consists of some predefined data collection scripts to use perf record in a sensible manner, analyze the data utilizing a cycle accounting methodology and create the tables and dot/svg files needed for the gooda-visualizer package.
- https://github.com/David-Levinthal/gooda
Hatchet: Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
- https://github.com/hatchet/hatchet
pprof - a tool for visualization and analysis of profiling data
- https://github.com/google/pprof

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C++ links: performance tools

Contents

Benchmarking

Benchmarking: Software

Benchmarking: Readings

Memory

Memory: Benchmarking

Memory: Profiling

Memory: Profiling: Readings

Memory: Profiling: Software

Memory: Profiling: Talks

Microarchitecture

Microarchitecture: Readings

Optimization

Profiling

Profiling: MPI

Profiling: Output

Profiling: Windows

Timing

Visualization

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C++ links: performance tools

Contents

Benchmarking

Benchmarking: Software

Benchmarking: Readings

Memory

Memory: Benchmarking

Memory: Profiling

Memory: Profiling: Readings

Memory: Profiling: Software

Memory: Profiling: Talks

Microarchitecture

Microarchitecture: Readings

Optimization

Profiling

Profiling: MPI

Profiling: Output

Profiling: Windows

Timing

Visualization