otf2cli_perf_patterns ( obj ) ¶ĭictionary of default perf_patterns for the tool _scorep_openacc. If SCOREP_METRIC_RUSAGE is defined then return the metric name. If SCOREP_METRIC_RUSAGE is defined then return the otf-profilerįlags so that it will not segfault. Otf_profiler ( ) ¶ Sanity checks ¶ _scorep_openacc. SphExaNativeCheck ( * args : Any, ** kwargs : Any ) ¶ Ma13 PyProf: Components and Flow net.py parse.py prof.py NVprof/ NSight net.py net.sql import pyprof pyprof.init() net.dict net. prof.py: Use this information to calculate flops and bytes.
parse.py: Extract information from the SQL database. Explore Timeline Control + mouse drag in timeline to zoom in. User/system time, maximum resident set size, and number of page faults: Run NVprof/NSightSystems to obtain a SQL database. Click File/ Import/ Nvprof/ Next/ Single process/ Next / Browse. Rumetric – Record Linux Resource Usage Counters to provide informationĪbout consumed resources and operating system events such as Obtained via sampling/unwinding cannot be filtered) => cycles is set to
Nvprof cudalaunch code#
This class runs the test code with Score-P (MPI+OpenACC):Ĥ parameters can be set for simulation: ParametersĬycles – Compiler-instrumented code is required for OpenACC (regions In addition to summary mode, nvprof supports GPU-Trace and API-Trace modes that let you see a complete list of all kernel launches and memory copies, and in the case of API-Trace mode, all CUDA API. > nvprof - version nvprof : NVIDIA ( R ) Cuda command line profiler Copyright ( c ) 2012 - 2019 NVIDIA Corporation Release version 10.2.89 ( 21 ) ^^^^^^^ returns : True or False scorep_openacc.py ¶ class _openacc. The summary, groups all calls to the same kernel together, presenting the total time and percentage of the total application time for each kernel. Reports Memory Operation (KiB) measured by the SphExaNsysCudaCheck ( * args : Any, ** kwargs : Any ) ¶
Nvprof cudalaunch Patch#
Square patch test is set with a dictionary depending on mpitask,īut cubesize could also be on the list of parameters,Ĭudatoolkit/10.2.89 has nsys/2019.5.2.16-b54ef97 Mpitask – number of mpi tasks the size of the cube in the 3D This class runs the test code with Nvidia nsys systems (2 mpi tasks min)Īvailable analysis types are: nsys profile -helpĢ parameters can be set for simulation: Parameters Executia de kernels este sincrona cand se ruleaza cu un profiler (Nsight, Visual Profiler). SphExaNsysCudaCheck ( * args : Any, ** kwargs : Any ) ¶ Pentru a face debug unor scenarii de executie asincrona se poate dezactiva complet executia asincrona setand variabila de mediu CUDALAUNCHBLOCKING la 1.
GPU Reference Guide ¶ Regression tests ¶ nsys_cuda.py ¶ class _cuda.
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