Difference between revisions of "Measurement tools"

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== Hardware Performance Counter Measurement Tools ==
 
== Hardware Performance Counter Measurement Tools ==
 +
=== ToDo ===
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* 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 11:30, 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