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Commit e1554354 authored by drossostum's avatar drossostum
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Scalasca fwave intel report in /build/epik_a folder

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build/epik_a/epik.conf 0 → 100644
View file @ e1554354
## E P I K configuration
# Experiment archive title
EPK_TITLE = a
# Name of global, cluster-wide directory to store final experiment archive
EPK_GDIR = .
# Name of (node-local) directory that can be used to store temporary files
EPK_LDIR = .
# Name of file containing a list of names of functions (one per line)
# which should be ignored during the measurement
EPK_FILTER =
# Automatic removal of intermediate files
EPK_CLEAN = 1
# Run-time summarization
EPK_SUMMARY = 1
# Event trace collection
EPK_TRACE = 0
# Unique identifier of the Machine
EPK_MACHINE_ID = 0
# Define the name of the Machine
EPK_MACHINE_NAME = Linux Intel
# Verbosity of EPIK related control information reported
EPK_VERBOSE = 0
# Enable measurement for specific parts of MPI
EPK_MPI_ENABLED = CG:COLL:ENV:IO:P2P:RMA:TOPO
# Maximum number of MPI comm/group/window/epoch handles tracked simultaneously
EPK_MPI_HANDLES = 64
## E P I S O D E configuration
# Maximum number of measurement call-paths
ESD_PATHS = 4096
# Maximum number of measurement stack frames
ESD_FRAMES = 32
# Size of internal definitions buffer in bytes
ESD_BUFFER_SIZE = 100000
# Maximum number of threads for which measurements should be taken
ESD_MAX_THREADS = OMP_NUM_THREADS
## E P I L O G configuration
# Size of internal event trace buffer in bytes
ELG_BUFFER_SIZE = 10000000
# Compression level of trace files (0..9 or u=uncompressed)
ELG_COMPRESSION = 6
# Automatic merge of trace files
ELG_MERGE = 0
# Generate VAMPIR-compatible traces
ELG_VT_MODE = 0
build/epik_a/epik.path 0 → 100644
View file @ e1554354
computeNumericalFluxes
build/epik_a/epik.score 0 → 100644
View file @ e1554354
flt type max_tbc time % region
ANY 29232 10.96 100.00 (summary) ALL
USR 29232 10.96 100.00 (summary) USR
USR 29232 10.96 100.00 computeNumericalFluxes
build/epik_a/epitome.cube 0 → 100644
View file @ e1554354
<?xml version="1.0" encoding="UTF-8"?>
<cube version="3.0">
<attr key="CUBE_CT_AGGR" value="NONE"/>
<doc>
<mirrors>
<murl>http://apps.fz-juelich.de/scalasca/releases/scalasca/1.4/help/</murl>
</mirrors>
</doc>
<metrics>
<metric id="0">
<disp_name>Visits</disp_name>
<uniq_name>visits</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#visits</url>
<descr>Number of visits</descr>
</metric>
<metric id="1">
<disp_name>Collective synchronizations</disp_name>
<uniq_name>syncs_coll</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#syncs_coll</url>
<descr>Number of collective synchronization operations</descr>
</metric>
<metric id="2">
<disp_name>P2P send synchronizations</disp_name>
<uniq_name>syncs_send</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#syncs_send</url>
<descr>Number of point-to-point send synchronization operations</descr>
</metric>
<metric id="3">
<disp_name>P2P recv synchronizations</disp_name>
<uniq_name>syncs_recv</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#syncs_recv</url>
<descr>Number of point-to-point receive synchronization operations</descr>
</metric>
<metric id="4">
<disp_name>Collective exchange communications</disp_name>
<uniq_name>comms_cxch</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#comms_cxch</url>
<descr>Number of collective communications as source and destination</descr>
</metric>
<metric id="5">
<disp_name>Collective communications as source</disp_name>
<uniq_name>comms_csrc</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#comms_csrc</url>
<descr>Number of collective communications as source</descr>
</metric>
<metric id="6">
<disp_name>Collective communications as destination</disp_name>
<uniq_name>comms_cdst</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#comms_cdst</url>
<descr>Number of collective communications as destination</descr>
</metric>
<metric id="7">
<disp_name>P2P send communications</disp_name>
<uniq_name>comms_send</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#comms_send</url>
<descr>Number of point-to-point send communication operations</descr>
</metric>
<metric id="8">
<disp_name>P2P recv communications</disp_name>
<uniq_name>comms_recv</uniq_name>
<dtype>INTEGER</dtype>
<uom>occ</uom>
<url>@mirror@scalasca_patterns-1.4.html#comms_recv</url>
<descr>Number of point-to-point receive communication operations</descr>
</metric>
<metric id="9">
<disp_name>Collective bytes outgoing</disp_name>
<uniq_name>bytes_cout</uniq_name>
<dtype>INTEGER</dtype>
<uom>bytes</uom>
<url>@mirror@scalasca_patterns-1.4.html#bytes_cout</url>
<descr>Number of bytes outgoing in collective operations</descr>
</metric>
<metric id="10">
<disp_name>Collective bytes incoming</disp_name>
<uniq_name>bytes_cin</uniq_name>
<dtype>INTEGER</dtype>
<uom>bytes</uom>
<url>@mirror@scalasca_patterns-1.4.html#bytes_cin</url>
<descr>Number of bytes incoming in collective operations</descr>
</metric>
<metric id="11">
<disp_name>P2P bytes sent</disp_name>
<uniq_name>bytes_sent</uniq_name>
<dtype>INTEGER</dtype>
<uom>bytes</uom>
<url>@mirror@scalasca_patterns-1.4.html#bytes_sent</url>
<descr>Number of bytes sent in point-to-point operations</descr>
</metric>
<metric id="12">
<disp_name>P2P bytes received</disp_name>
<uniq_name>bytes_rcvd</uniq_name>
<dtype>INTEGER</dtype>
<uom>bytes</uom>
<url>@mirror@scalasca_patterns-1.4.html#bytes_rcvd</url>
<descr>Number of bytes received in point-to-point operations</descr>
</metric>
<metric id="13">
<disp_name>MPI file bytes transferred</disp_name>
<uniq_name>mpi_file_bytes</uniq_name>
<dtype>INTEGER</dtype>
<uom>bytes</uom>
<url>@mirror@scalasca_patterns-1.4.html#mpi_file_bytes</url>
<descr>Number of bytes transferred in MPI file operations</descr>
</metric>
<metric id="14">
<disp_name>OMP thread fork time</disp_name>
<uniq_name>omp_fork</uniq_name>
<dtype>FLOAT</dtype>
<uom>sec</uom>
<url>@mirror@scalasca_patterns-1.4.html#omp_fork</url>
<descr>OpenMP thread fork time</descr>
</metric>
<metric id="15">
<disp_name>OMP thread management time</disp_name>
<uniq_name>omp_management</uniq_name>
<dtype>FLOAT</dtype>
<uom>sec</uom>
<url>@mirror@scalasca_patterns-1.4.html#omp_management</url>
<descr>OpenMP thread management time</descr>
</metric>
<metric id="16">
<disp_name>Time</disp_name>
<uniq_name>time</uniq_name>
<dtype>FLOAT</dtype>
<uom>sec</uom>
<url>@mirror@scalasca_patterns-1.4.html#time</url>
<descr>Total CPU allocation time (includes time allocated for idle threads)</descr>
</metric>
</metrics>
<program>
<region id="0" mod="EPIK" begin="-1" end="-1">
<name>UNKNOWN</name>
<descr>EPIK</descr>
</region>
<region id="1" mod="EPIK" begin="-1" end="-1">
<name>TRACING</name>
<descr>EPIK</descr>
</region>
<region id="2" mod="EPIK" begin="-1" end="-1">
<name>PAUSING</name>
<descr>EPIK</descr>
</region>
<region id="3" mod="src/blocks/SWE_WavePropagationBlock.cpp" begin="112" end="-1">
<name>computeNumericalFluxes</name>
<descr>USR</descr>
</region>
<cnode id="0" calleeId="3">
</cnode>
</program>
<system>
<machine Id="0">
<name>Linux Intel</name>
<node Id="0">
<name>mac-login-amd</name>
<process Id="0">
<rank>0</rank>
<thread Id="0">
<rank>0</rank>
</thread>
</process>
</node>
</machine>
<topologies>
<cart name="Process/Thread" ndims="2">
<dim name="Thread" size="1" periodic="true"/>
<dim name="Process" size="1" periodic="false"/>
<coord thrdId="0">0 0</coord>
</cart>
</topologies>
</system>
<severity>
<matrix metricId="0">
<row cnodeId="0">
1218
</row>
</matrix>
<matrix metricId="16">
<row cnodeId="0">
10.9602445886
</row>
</matrix>
</severity>
</cube>
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