Difference between revisions of "Measurement tools"
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== Hardware Performance Counter Measurement Tools == | == Hardware Performance Counter Measurement Tools == | ||
+ | === ToDo === | ||
+ | * ARM Performance Report | ||
+ | * Intel Snapshot | ||
+ | * Intel Advisor | ||
+ | * maybe check and synchronize with RWTH Primer | ||
+ | |||
=== Low Level === | === Low Level === | ||
* Perf: The main interface in the Linux kernel and a corresponding user-space tool to measure hardware counters | * Perf: The main interface in the Linux kernel and a corresponding user-space tool to measure hardware counters |
Revision as of 10:30, 15 February 2019
Hardware Performance Counter Measurement Tools
ToDo
- ARM Performance Report
- Intel Snapshot
- Intel Advisor
- 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
- Vampir: A scalable framework for performance analysis using PAPI as backend
- 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
- 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