Difference between revisions of "Measurement tools"
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m (Move ARM Perf Reports to High-Level Tools) |
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== Hardware Performance Counter Measurement Tools == | == Hardware Performance Counter Measurement Tools == | ||
=== ToDo === | === ToDo === | ||
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* Intel Snapshot | * Intel Snapshot | ||
* maybe check and synchronize with RWTH Primer | * maybe check and synchronize with RWTH Primer | ||
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=== High Level === | === High Level === | ||
+ | * [[ARMPerfReports|ARM Performance Report]]: A tool that provides a simple one page HTML report that highlights processor, memory, communication and I/O issues and offers advice on how to improve the performance. | ||
* [[Vampir|Vampir]]: A scalable framework for performance analysis using PAPI as backend | * [[Vampir|Vampir]]: A scalable framework for performance analysis using PAPI as backend | ||
− | * [[Tau]]: Utilities to sample or instrument code for hardware counters and other metrics | + | * [[Tau|TAU]]: Utilities to sample or instrument code for hardware counters and other metrics |
− | * [[HPCToolkit]]: Toolkit to sample timers and hardware performance counters for serial and parallel applications | + | * [[HPCToolkit|HPC-Toolkit]]: Toolkit to sample timers and hardware performance counters for serial and parallel applications |
* [[Intel Advisor]]: A vectorization and threading optimization tool | * [[Intel Advisor]]: A vectorization and threading optimization tool | ||
* [[Intel_VTune|Intel VTune]]: A performance profiling tool to analyse algorithms and hardware usage for serial and parallel applications | * [[Intel_VTune|Intel VTune]]: A performance profiling tool to analyse algorithms and hardware usage for serial and parallel applications |
Revision as of 13:03, 19 July 2019
Hardware Performance Counter Measurement Tools
ToDo
- Intel Snapshot
- maybe check and synchronize with RWTH Primer
Low Level
- Perf: The main interface in the Linux kernel and a corresponding user-space tool to measure hardware counters
- PAPI (Performance-API): A generic API for applications to measure different aspects of the system. For hardware performance counters it uses the perf backend for measurements. Other plugins for GPU and other components exist
- PCM (Performance Counter Monitor): A higher level tool and API that provides common metrics like memory bandwidth and NUMA traffic. The API also provides access to any hardware counter event
- PMU-Tools: A set of Python scripts that use the perf backend
- LIKWID: Command line applications and API to measure hardware events which can use perf as backend but also provides other backends to be independent of the kernel version
High Level
- ARM Performance Report: A tool that provides a simple one page HTML report that highlights processor, memory, communication and I/O issues and offers advice on how to improve the performance.
- Vampir: A scalable framework for performance analysis using PAPI as backend
- TAU: Utilities to sample or instrument code for hardware counters and other metrics
- HPC-Toolkit: Toolkit to sample timers and hardware performance counters for serial and parallel applications
- Intel Advisor: A vectorization and threading optimization tool
- Intel VTune: A performance profiling tool to analyse algorithms and hardware usage for serial and parallel applications
- Scalasca Trace Tools: A performance optimisation tool for runtime behaviour measurement and analysis of parallel programs
- Score-P: A Scalable Performance Measurement Infrastructure for Parallel Codes
- Intel Trace Collector/Analyzer: Powerful tools that acquire/display information on the communication behavior of MPI programs