skill-tree:pe:2:2:2:1:b
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skill-tree:pe:2:2:2:1:b [2021/09/13 11:57] – external edit 127.0.0.1 | skill-tree:pe:2:2:2:1:b [2021/10/03 20:06] (current) – external edit 127.0.0.1 | ||
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- | # PE2.2.2.1-B | + | # PE2.2.2.1-B |
+ | #### Maintainer: Bert Wesarg, William (Bill) Williams, ZIH Tools Team @ TU Dresden | ||
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# Background | # Background | ||
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+ | Collecting measurement data from HPC applications can be difficult. Score-P presents a generally uniform approach to collecting profiling and tracing data that can be applied to a broad range of HPC applications and allow measurements to be collected in many common HPC environments. In order to use this measurement system effectively, | ||
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# Aim | # Aim | ||
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+ | Students should learn how to use Score-P to produce profiling and tracing data for their HPC applications. They should understand how to evaluate and improve the quality of their measurement. They should understand at least some of the relevant specialized ways to configure and use Score-P that apply to a problem of immediate interest to them. | ||
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# Outcomes | # Outcomes | ||
+ | * Able to instrument applications including one or more parallel paradigms from the following: | ||
+ | * MPI | ||
+ | * SHMEM | ||
+ | * OpenMP | ||
+ | * Pthreads | ||
+ | * Able to instrument applications including at least one specialized form of measurement from the following: | ||
+ | * Accelerator usage | ||
+ | * I/O performance | ||
+ | * Hardware counters | ||
+ | * Memory usage | ||
+ | * Able to score measurements and effectively describe whether a measurement includes unacceptable perturbation | ||
+ | * Able to create and use filter files to improve measurement quality and relevance | ||
+ | * Able to manage measurement data through environment variables and scripting | ||
+ | * Able to automate naming/ | ||
+ | * Able to read and understand configuration and manifest files generated by Score-P | ||
# Subskills | # Subskills | ||
skill-tree/pe/2/2/2/1/b.1631527072.txt.gz · Last modified: 2021/09/13 11:57 by 127.0.0.1