Intel® Advisor User Guide

ID 766448
Date 12/16/2022
Public

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Document Table of Contents

collect

Run the specified type of analysis and collect data.

GUI Equivalent

Analysis Workflow

File > New > Start [Name] Analysis

Syntax

-c=<string> [--action-options] [--global-options] [[--] <target> [<target options>]]

--collect=<string> [--action-options] [--global-options] [[--] <target> [<target options>]]

Arguments

<string> is the type of analysis:

Argument

Description

survey

Survey the target (your executable application) and collect data about code that may benefit from (more) parallelism.

dependencies

Collect dependencies data to predict and eliminate data sharing problems.

map

Collect memory access patterns data.

offload

Run the Offload Modeling perspective analyses with a single command.

projection

Project performance on a target device.

roofline

Run the Survey analysis immediately followed by the Trip Counts & FLOP analysis to visualize actual performance against hardware-imposed performance ceilings.

suitability

Collect suitability data by executing annotated code to analyze the proposed threading parallelism opportunities and estimate where performance gains are most likely.

tripcounts

Collect the following data and add it to the Survey report: loop iteration, floating-point and integer operation, and memory traffic statistics, and more.

Default

No default argument

Modifiers

accuracy, app-working-dir, assume-dependencies, assume-hide-taxes, assume-ndim-dependency, assume-single-data-transfer, auto-finalize, batching, benchmarks-sync, cache-config, cache-simulation, cache-sources, cachesim, cachesim-associativity, cachesim-cacheline-size, cachesim-mode, cachesim-sampling-factor, cachesim-sets, check-profitability, config, count-logical-instructions, count-memory-instructions, count-memory-objects-accesses, count-mov-instructions, count-send-latency, cpu-scale-factor,custom-config, data-limit, data-reuse-analysis, data-transfer, data-transfer-histogram, data-transfer-page-size, delete-tripcounts, disable-fp64-math-optimization, dry-run, duration, enable-cache-simulation, enable-data-transfer-analysis, enforce-baseline-decomposition, enforce-fallback, enforce-offloads. estimate-max-speedup, evaluate-min-speedup, exclude-files, executable-of-interest, exp-dir, filter-by-scope, filter-reductions, flop, force-32bit-arithmetics, force-64bit-arithmetics, gpu, gpu-carm, gpu-sampling-interval, hide-data-transfer-tax, ignore, ignore-app-mismatch, ignore-checksums, instance-of-interest, integrated, interval, loop-call-count-limit, loop-filter-threshold, loops, mark-up, mark-up-list, mkl-user-mode, model-baseline-gpu, model-children, model-extended-math, model-system-calls, module-filter, module-filter-mode, mpi-rank, mrte-mode, ndim-depth-limit, option-file, overlap-taxes, profile-gpu, profile-intel-perf-libs, profile-jit, profile-python, profile-stripped-binariesproject-dir, quiet, record-mem-allocations, record-stack-frame, refinalize-survey, resume-after, return-app-exitcode, search-dir, search-n-dim, select, set-dependency, set-parallel, set-parameter, show-report, small-node-filter, spill-analysis, stack-access-granularity, stack-stitching, stack-unwind-limit, stacks, stackwalk-mode, start-paused, static-instruction-mix, strategy, support-multi-isa-binaries, target-device, target-gpu, target-pid, target-process, threads, trace-mode, trace-mpi, track-memory-objects, track-stack-accesses, track-stack-variables, trip-counts, verbose

Example

Survey the application to find candidates for code that may benefit from (more) parallelism.

advisor --collect=survey --search-dir src:r=./src --project-dir=./advi_results -- ./bin/myApplication

Collect memory access patterns data on the specified loops.

advisor --collect=map --mark-up-list=5,10,12 --search-dir src:r=./src --project-dir=./advi_results -- ./bin/myApplication

Collect survey data on four nodes of an MPI cluster into the shared ./advi project directory.

mpirun -n 4 "advisor --collect=survey --project-dir=./advi_results" -- <PATH>/mpi-sample/1_mpi_sample_serial

Collect dependencies data for all innermost loops that account for over 2% of the total CPU time.

advisor --collect=dependencies --loops="loop-height=0,total-time>2 --project-dir=./advi_results" -- ./bin/myApplication

Run the Offload Modeling perspective with low accuracy.

advisor --collect=offload --accuracy=low --config=xehpg_512xve --search-dir src:r=./src --project-dir=./advi_results -- ./bin/myApplication

See Also