Built-in profiling configurations

Caliper includes built-in configurations for many common performance analysis tasks. These configurations can be enabled through the ConfigManager API reference or the CALI_CONFIG environment variable.

Configuration String Syntax

A configuration string for the ConfigManager class or CALI_CONFIG environment variable is a comma-separated list of configs and parameters.

A config is the name of one of Caliper’s built-in measurement configurations, e.g. runtime-report or event-trace. Multiple configs can be specified, separated by comma.

Most configs have optional parameters, e.g. output to name an output file. Parameters can be specified as a list of key-value pairs in parentheses after the config name, e.g. runtime-report(output=report.txt,io.bytes=true). For boolean parameters, only the key needs to be added to enable it; for example, io.bytes is equal to io.bytes=true.

Parameters can also be listed separately in the config string, outside of parentheses. In that case, the parameter applies to all configs, whereas parameters inside parentheses only apply to the config where they are listed. For example, in runtime-report(io.bytes),spot,mem.highwatermark, the mem.highwatermark option will be active in both the runtime-report and spot config, whereas io.bytes will only be active for runtime-report. Configs and parameters can be listed in any order.

Here is a more complex example:

runtime-report(output=stdout),profile.cuda,mem.highwatermark,event-trace(output=trace.cali,trace.io)

This will print a runtime profile to stdout, including CUDA API calls and memory high-water marks in the profile, and write an event trace with region begin/end and I/O operations into the trace.cali file.

Built-in configs

The following list describes the ConfigManager’s built-in configs and their parameters. Note that depending on the Caliper build configuration, not all configs or options may be available in a particular Caliper installation.

event-trace

Record a trace of region enter/exit events in .cali format. Options:

event.timestamps

Record event timestamps

output

Output location (‘stdout’, ‘stderr’, or filename)

trace.io

Trace I/O events

trace.mpi

Trace I/O events

hatchet-region-profile

Record a region time profile for processing with hatchet. Options:

adiak.import_categories

Adiak import categories. Comma-separated list of integers.

io.bytes

Report I/O bytes written and read

io.bytes.read

Report I/O bytes read

io.bytes.written

Report I/O bytes written

io.read.bandwidth

Report I/O read bandwidth

io.write.bandwidth

Report I/O write bandwidth

mem.highwatermark

Record memory high-water mark for regions

output

Output location (‘stdout’, ‘stderr’, or filename)

output.format

Output format (‘hatchet’, ‘cali’, ‘json’)

profile.cuda

Profile CUDA API functions

profile.mpi

Profile MPI functions

topdown-counters.all

Raw counter values for Intel top-down analysis (all levels)

topdown-counters.toplevel

Raw counter values for Intel top-down analysis (top level)

topdown.all

Top-down analysis for Intel CPUs (all levels)

topdown.toplevel

Top-down analysis for Intel CPUs (top level)

use.mpi

Merge results into a single output stream in MPI programs

hatchet-sample-profile

Record a sampling profile for processing with hatchet. Options:

adiak.import_categories

Adiak import categories. Comma-separated list of integers.

source.module

Report source module (.so/.exe) for samples

source.location

Report source location (file+line) for samples

source.function

Report source function name for samples

output

Output location (‘stdout’, ‘stderr’, or filename)

output.format

Output format (‘hatchet’, ‘cali’, ‘json’)

callpath

Perform call-stack unwinding

sample.frequency

Sampling frequency in Hz. Default: 200

use.mpi

Merge results into a single output stream in MPI programs

sample-report

Print a sampling profile for the program

aggregate_across_ranks

Aggregate results across MPI ranks

callpath

Group by function call path instead of instrumented region

max_column_width

Maximum column width in the tree display

output

Output location (‘stdout’, ‘stderr’, or filename)

print.metadata

Print program metadata (Caliper globals and Adiak data)

sample.frequency

Sampling frequency in Hz. Default: 200

source.function

Report source function

source.location

Report source location (file+line)

source.module

Report source module (.so/.exe)

loop-report

Print summary and time-series information for loops. Options:

aggregate_across_ranks

Aggregate results across MPI ranks

io.bytes

Report I/O bytes written and read

io.bytes.read

Report I/O bytes read

io.bytes.written

Report I/O bytes written

io.read.bandwidth

Report I/O read bandwidth

io.write.bandwidth

Report I/O write bandwidth

iteration_interval

Measure every N loop iterations

mem.highwatermark

Record memory high-water mark for regions

output

Output location (‘stdout’, ‘stderr’, or filename)

summary

Print loop summary

target_loops

List of loops to target. Default: any top-level loop.

time_interval

Measure after t seconds

timeseries

Print time series

timeseries.maxrows

Max number of rows in timeseries display. Set to 0 to show all. Default: 20.

topdown.all

Top-down analysis for Intel CPUs (all levels)

topdown.toplevel

Top-down analysis for Intel CPUs (top level)

mpi-report

Print time spent in MPI functions

runtime-report

Print a time profile for annotated regions. Options:

aggregate_across_ranks

Aggregate results across MPI ranks

calc.inclusive

Report inclusive instead of exclusive times

io.bytes

Report I/O bytes written and read

io.bytes.read

Report I/O bytes read

io.bytes.written

Report I/O bytes written

io.read.bandwidth

Report I/O read bandwidth

io.write.bandwidth

Report I/O write bandwidth

max_column_width

Maximum column width in the tree display

mem.highwatermark

Record memory high-water mark for regions

mpi.message.count

Number of MPI send/recv/collective operations

mpi.message.size

MPI message size

output

Output location (‘stdout’, ‘stderr’, or filename)

profile.cuda

Profile CUDA API functions

profile.hip

Profile HIP API functions

profile.kokkos

Profile Kokkos functions

profile.mpi

Profile MPI functions

topdown.all

Top-down analysis for Intel CPUs (all levels)

topdown.toplevel

Top-down analysis for Intel CPUs (top level)

spot

Record a time profile for the Spot web visualization framework. Options:

adiak.import_categories

Adiak import categories. Comma-separated list of integers.

aggregate_across_ranks

Aggregate results across MPI ranks

io.bytes

Report I/O bytes written and read

io.bytes.read

Report I/O bytes read

io.bytes.written

Report I/O bytes written

io.read.bandwidth

Report I/O read bandwidth

io.write.bandwidth

Report I/O write bandwidth

mem.highwatermark

Record memory high-water mark for regions

output

Output location (‘stdout’, ‘stderr’, or filename)

profile.cuda

Profile CUDA API functions

profile.mpi

Profile MPI functions

topdown-counters.all

Raw counter values for Intel top-down analysis (all levels)

topdown-counters.toplevel

Raw counter values for Intel top-down analysis (top level)

topdown.all

Top-down analysis for Intel CPUs (all levels)

topdown.toplevel

Top-down analysis for Intel CPUs (top level)