Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
en:services:application_services:high_performance_computing:performance_engineering_and_analysis [2022/10/27 15:16] – jogajaen:services:application_services:high_performance_computing:performance_engineering_and_analysis [2022/10/27 15:17] (current) – [Performance Engineering and Analysis Tools in SCC] jogaja
Line 1: Line 1:
 +===== Performance Engineering and Analysis Tools in SCC =====
  
 +Performance engineering, analyis and optimization is imperative for HPC applications especially considering the huge amount of resources spent on  assembling and operating large computing systems with complex microprocessors and memory architectures.
 +
 +Performance analysis and optimization of HPC applications involve mainly three steps, application instrumentation, run-time measurements of key events and visual analysis of profiles and events traces, and identify bottlenecks in application execution..
 +
 +Performance tools currently available in SCC are: LIKWID, Score-P, Vampir, Scalasca and Nvidia Nsight.
 +
 +==== Tools currently available on SCC ====
 +  * [[en:services:application_services:high_performance_computing:performance_engineering_and_analysis:LIKWID|LIKWID]]
 +  * [[en:services:application_services:high_performance_computing:performance_engineering_and_analysis:Score-P|Score-P]]
 +  * [[en:services:application_services:high_performance_computing:performance_engineering_and_analysis:VAMPIR|VAMPIR]]
 +  * [[en:services:application_services:high_performance_computing:performance_engineering_and_analysis:Scalasca|Scalasca]]
 +  * [[en:services:application_services:high_performance_computing:performance_engineering_and_analysis:Nsight (System, Compute, Graphics)|Nsight (System, Compute, Graphics)]]
 +