Fichiers
rocm-systems/projects/rocprofiler-compute/docs/conceptual/vector-l1-cache.rst
T
Cole Ramos 5a7cb724ce Sync staging with mainline (#524)
* External CI: rename pipeline to rocprofiler-compute (#463)

Signed-off-by: Daniel Su <danielsu@amd.com>

* Update webui branding (#459)

* Update name and icon for browser tab to rocprofiler-compute.

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Update name and icon for browser tab to rocprofiler-compute.

Signed-off-by: xuchen-amd <xuchen@amd.com>

---------

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Update branding in documentation (#442)

* find/replace Omniperf to ROCm Compute Profiler

Signed-off-by: Peter Park <peter.park@amd.com>

* update name in Sphinx conf

Signed-off-by: Peter Park <peter.park@amd.com>

* mv what-is-omniperf.rst -> what-is-rocprof-compute.rst

Signed-off-by: Peter Park <peter.park@amd.com>

* update Tutorials section

Signed-off-by: Peter Park <peter.park@amd.com>

* add Omniperf as keyword to Conceptual section for internal search

Signed-off-by: Peter Park <peter.park@amd.com>

* update Reference section

Signed-off-by: Peter Park <peter.park@amd.com>

* black fmt conf.py

Signed-off-by: Peter Park <peter.park@amd.com>

* update profile mode and basic usage subsections

Signed-off-by: Peter Park <peter.park@amd.com>

* update how to use analyze mode subsection

Signed-off-by: Peter Park <peter.park@amd.com>

* update install section

Signed-off-by: Peter Park <peter.park@amd.com>

* fix sphinx warnings

Signed-off-by: Peter Park <peter.park@amd.com>

* fix cmd line examples in profile/mode.rst

Signed-off-by: Peter Park <peter.park@amd.com>

* update install decision tree image

Signed-off-by: Peter Park <peter.park@amd.com>

* fix TOC and index

Signed-off-by: Peter Park <peter.park@amd.com>

fix weird wording

* fix cli text: deriving rocprofiler-compute metrics...

Signed-off-by: Peter Park <peter.park@amd.com>

* update standalone-gui.rst

Signed-off-by: Peter Park <peter.park@amd.com>

* restore removed doc updates from #428

Signed-off-by: Peter Park <peter.park@amd.com>

* update ref to Omniperf in index.rst

Signed-off-by: Peter Park <peter.park@amd.com>

* fix grafana connection name to match image

Signed-off-by: Peter Park <peter.park@amd.com>

* update cmds in tutorials

Signed-off-by: Peter Park <peter.park@amd.com>

---------

Signed-off-by: Peter Park <peter.park@amd.com>

* MI300 roofline enablement in rocprofiler-compute (#470)

* MI300 roofline enablement in rocprofiler-compute

requirements.txt
- running some modules complained about numpy version too new, adding extra requirement that numpy be 1.x
pmc_roof_perf.txt
- adding TCC_BUBBLE_sum counter to profile
soc_gfx940.py
soc_gfx941.py
soc_gfx942.py
- remove console logs reading that roofline is temporarily disabled, uncommenting blocks that check for roofline csv and run roofline post-processing
roofline_calc.py
- add mi300 to supported soc
- add new calculation for hbm_data for MI300 using tcc_bubble_sum, checks if counter > 0 to use
- add to a few comments
roofline-ubuntu-20_04-mi300-rocm6
- binary for the ubuntu systems to enable mi300 roofline calculations from rocm-amdgpu-bench

Note- other distros will get roofline bins to enable mi300, but need to be further tested before putting into branch.

Signed-off-by: Carrie Fallows <carrie.fallows@amd.com>

* Reformatting roofline_calc.py

Signed-off-by: Carrie Fallows <carrie.fallows@amd.com>

---------

Signed-off-by: Carrie Fallows <carrie.fallows@amd.com>

* Update Python format checker (#471)

* Add pre commit hook for Python formatting

Signed-off-by: coleramos425 <colramos@amd.com>

* Update formatting workflow to run on latest Python and add isort formatter

Signed-off-by: coleramos425 <colramos@amd.com>

* Fix caught yaml formatting issues

* Update pyproject file

* Add pre-commit hook instruction to CONTRIBUTING guide

* Remove target-version from black pyproject.toml

* Fixed formatting errors found with black and isort

Signed-off-by: David Galiffi <David.Galiffi@amd.com>

* Run hook: Whitespaces, fix end of file spaces

---------

Signed-off-by: coleramos425 <colramos@amd.com>
Signed-off-by: David Galiffi <David.Galiffi@amd.com>
Co-authored-by: David Galiffi <David.Galiffi@amd.com>

* Bump cryptography from 43.0.0 to 43.0.1 in /docs/sphinx (#473)

Bumps [cryptography](https://github.com/pyca/cryptography) from 43.0.0 to 43.0.1.
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pyca/cryptography/compare/43.0.0...43.0.1)

---
updated-dependencies:
- dependency-name: cryptography
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Fix file permission on MI300 roofline binary (#477)

Signed-off-by: David Galiffi <David.Galiffi@amd.com>

* Removing numpy requirements of <2 (#478)

Checks are failing if version too high and no need for lower version

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* Fix crash when loading web UI roofline for gfx942 (#479)

* Fix crash when loading web UI roofline for gfx942

* Fix formatting

Signed-off-by: benrichard-amd <ben.richard@amd.com>

* Make same changs for gfx940, gfx942.

Signed-off-by: benrichard-amd <ben.richard@amd.com>

* Fix formatting in soc_gfx940 and soc_gfx941.

Signed-off-by: benrichard-amd <ben.richard@amd.com>

---------

Signed-off-by: benrichard-amd <ben.richard@amd.com>

* Rebranding name change patch (#469)

* Patch in missed name change for rebranding.

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Patch in missed name change for rebranding.

Signed-off-by: xuchen-amd <xuchen@amd.com>

---------

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Move dependabot.yml to .github/ and bump rocm-docs-core (#481)

* Move dependabot.yml to .github/

* Bump rocm-docs-core to 1.8.5

* Bump rocm-docs-core to 1.9.0

* Fix packaging for upgrading (#486)

Specify that "rocprofiler-compute" replaces / obsoletes the "omniperf" package.

* Renamed extension path from omniperf to rocprofiler_compute (#487)

Signed-off-by: Tim Gu <Tim.Gu@amd.com>

* MI300 rhel and sles roofline binaries (#480)

* Roofline bins for MI300 on rhel and sles distributions
Built from rocm-amdgpu-bench, tested on respective distro systems with MI300 hardware.

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* Minor modifications removing hardcoded variables in roofline files.

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

---------

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* Modify test_profile_general.py ctest to include MI300 enablement (#498)

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* part 1 to support rocprofv3 (#492)

* rocprofv3 support initial commit

-Can run rocprofv3 but ultimately fails. rocprofv3 says the counter capacity
is exceeded and the output CSV file format is different from v1/v2.

* Add rocprofv3 detection so v2 can still be used

It's hacky but it'll do for now.

* Add code path to convert rocprofv3 JSON output into CSV

* Grab correct value for Queue ID

* Use _sum suffix to sum TCC counters

Previously we were specifying each channel for TCC counters. rocprofv3 does
not support specifing each TCC channel, and instead will auto sum given
the TCC counter name. The counter name with the _sum suffix is also
supported and is also supported in v1 and v2. So we will use the TCC
counter name with the _sum suffix.

* Fix incorrect counter outputs when using rocprofv3

In the JSON output some counters appear multime times and must be
summed to get the correct value. These summed values match the
rocprofv3 output in CSV mode and also match the rocprofv2
output.

* Remove duplicate Correlation_ID and Wave_Size in output

* Handle json output that does not contain any dispatches

Omniperf was assuming each JSON output from rocprofv3 would always contain
dispatches. This is not the case. For example, in a multi-process
workload where one of the processes does not dispatch any kernels. A JSON
file will still be output for this process but it will not contain any dispatches.

* Code cleanup

* Update search path for rocprofv3 results

Rocprofv3 was updated to include the hostname in the path where
it outputs results.

* Handle accumulate counters

In v1/v2 rocprof uses the SQ_ACCUM_PREV_HIRES counter for the accumualte
counters. v3 does not have this. So we need to define our own counters
in counter_defs.yaml. For this we use the counter name + _ACCUM, for
example SQ_INSTR_LEVEL_SMEM_ACCUM.

To use rocprofv3 you will need to update counter_defs.yaml to include
these new counter definitions.

* Use correct GPU ID

When converting JSON -> CSV we were assigning node_id to GPU_ID. Since
the JSON contains non-GPU devices, the node_id for GPUs might not
start at 0 as expected.

This commit maps the agent ID to the appropriate GPU ID.

* Parse scratch memory per work item from JSON

* Support rocprofv3 CSV parsing

JSON decoding is very slow for large files. Include support for parsing
rocprofv3 CSV output and make that the default.

CSV/JSON can be toggled via the ROCPROF_OUTPUT_FORMAT environment
variable e.g. ROCPROF_OUTPUT_FORMAT=csv or ROCPROF_OUTPUT_FORMAT=json

* black format after merge

* format isort

* change return of rocprof_cmd to try to resolve test's error

* hack to pick last part of rocminfo's name

* debug log of hacks

* Modify test_profile_general.py ctest to include MI300 enablement. Currently failing because of explicitly excluded roofline files for the soc and autofailed asserts for roof-only tests- originally in place because roofline was not enabled on mi300 yet.

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* black and isort formated

* corrected line of copyright

---------

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>
Co-authored-by: benrichard-amd <ben.richard@amd.com>
Co-authored-by: YANG WANG <ywang@ywang-ubuntu.amd.com>
Co-authored-by: Carrie Fallows <Carrie.Fallows@amd.com>

* fix for crash of timestamp of part 1 for rocprofv3 (#499)

* fix the error caused by ignoring the lack of counter csv file from rocprofv3 for timestamp

* isort and black formated

* quick fix for gfx906 roofline (#505)

* Multi node support (#503)

* [CTest] Pipeline failures for MI300 (#483)

* Propagate new chip_id logic to testing workflow

Signed-off-by: coleramos425 <colramos@amd.com>

* Add a debug line to tests

Signed-off-by: coleramos425 <colramos@amd.com>

* Trying to set rocprofv2 generally in CTest module

Signed-off-by: coleramos425 <colramos@amd.com>

* Remove temp debugging lines from CI

Signed-off-by: coleramos425 <colramos@amd.com>

* Add roofline entry for MI300 expected files in CI tests

Signed-off-by: coleramos425 <colramos@amd.com>

* Make num_devices modifier global in scope

Signed-off-by: coleramos425 <colramos@amd.com>

* Change kernel name in PyTest to confirm rocprofv2 bug

Related to https://ontrack-internal.amd.com/browse/SWDEV-503453

Signed-off-by: coleramos425 <colramos@amd.com>

---------

Signed-off-by: coleramos425 <colramos@amd.com>

* Spatial-multiplexing: part 1 profiling stage (#465)

* rocprofv3 support initial commit

-Can run rocprofv3 but ultimately fails. rocprofv3 says the counter capacity
is exceeded and the output CSV file format is different from v1/v2.

* Add rocprofv3 detection so v2 can still be used

It's hacky but it'll do for now.

* Add code path to convert rocprofv3 JSON output into CSV

* Grab correct value for Queue ID

* Use _sum suffix to sum TCC counters

Previously we were specifying each channel for TCC counters. rocprofv3 does
not support specifing each TCC channel, and instead will auto sum given
the TCC counter name. The counter name with the _sum suffix is also
supported and is also supported in v1 and v2. So we will use the TCC
counter name with the _sum suffix.

* Fix incorrect counter outputs when using rocprofv3

In the JSON output some counters appear multime times and must be
summed to get the correct value. These summed values match the
rocprofv3 output in CSV mode and also match the rocprofv2
output.

* Remove duplicate Correlation_ID and Wave_Size in output

* Handle json output that does not contain any dispatches

Omniperf was assuming each JSON output from rocprofv3 would always contain
dispatches. This is not the case. For example, in a multi-process
workload where one of the processes does not dispatch any kernels. A JSON
file will still be output for this process but it will not contain any dispatches.

* Code cleanup

* Update search path for rocprofv3 results

Rocprofv3 was updated to include the hostname in the path where
it outputs results.

* Handle accumulate counters

In v1/v2 rocprof uses the SQ_ACCUM_PREV_HIRES counter for the accumualte
counters. v3 does not have this. So we need to define our own counters
in counter_defs.yaml. For this we use the counter name + _ACCUM, for
example SQ_INSTR_LEVEL_SMEM_ACCUM.

To use rocprofv3 you will need to update counter_defs.yaml to include
these new counter definitions.

* debug code

* add logic code for multiplexing

* minor fix

* more fixes

* rocprofv3 support initial commit

-Can run rocprofv3 but ultimately fails. rocprofv3 says the counter capacity
is exceeded and the output CSV file format is different from v1/v2.

* Add rocprofv3 detection so v2 can still be used

It's hacky but it'll do for now.

* Add code path to convert rocprofv3 JSON output into CSV

* Grab correct value for Queue ID

* Use _sum suffix to sum TCC counters

Previously we were specifying each channel for TCC counters. rocprofv3 does
not support specifing each TCC channel, and instead will auto sum given
the TCC counter name. The counter name with the _sum suffix is also
supported and is also supported in v1 and v2. So we will use the TCC
counter name with the _sum suffix.

* Fix incorrect counter outputs when using rocprofv3

In the JSON output some counters appear multime times and must be
summed to get the correct value. These summed values match the
rocprofv3 output in CSV mode and also match the rocprofv2
output.

* Remove duplicate Correlation_ID and Wave_Size in output

* Handle json output that does not contain any dispatches

Omniperf was assuming each JSON output from rocprofv3 would always contain
dispatches. This is not the case. For example, in a multi-process
workload where one of the processes does not dispatch any kernels. A JSON
file will still be output for this process but it will not contain any dispatches.

* Code cleanup

* Update search path for rocprofv3 results

Rocprofv3 was updated to include the hostname in the path where
it outputs results.

* Handle accumulate counters

In v1/v2 rocprof uses the SQ_ACCUM_PREV_HIRES counter for the accumualte
counters. v3 does not have this. So we need to define our own counters
in counter_defs.yaml. For this we use the counter name + _ACCUM, for
example SQ_INSTR_LEVEL_SMEM_ACCUM.

To use rocprofv3 you will need to update counter_defs.yaml to include
these new counter definitions.

* count accu files as well

* Use correct GPU ID

When converting JSON -> CSV we were assigning node_id to GPU_ID. Since
the JSON contains non-GPU devices, the node_id for GPUs might not
start at 0 as expected.

This commit maps the agent ID to the appropriate GPU ID.

* fix error with csv file parse from json and merge during post-processing

* implemented parsing of csv files from v3 output for optimization

* Parse scratch memory per work item from JSON

* Support rocprofv3 CSV parsing

JSON decoding is very slow for large files. Include support for parsing
rocprofv3 CSV output and make that the default.

CSV/JSON can be toggled via the ROCPROF_OUTPUT_FORMAT environment
variable e.g. ROCPROF_OUTPUT_FORMAT=csv or ROCPROF_OUTPUT_FORMAT=json

* black format after merge

* format isort

* change return of rocprof_cmd to try to resolve test's error

* hack to pick last part of rocminfo's name

* debug log of hacks

* Modify test_profile_general.py ctest to include MI300 enablement. Currently failing because of explicitly excluded roofline files for the soc and autofailed asserts for roof-only tests- originally in place because roofline was not enabled on mi300 yet.

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* black and isort formated

* formated by isort and black

* change default rocprof's output to csv

* repaired crash caused by missing csv counter file when running for timestamp

* change name to spatial-multiplexing from multiplexing

* make necessary modification for review

* set the value of spatial_multiplexing in argument defautly to None

* repair the part that blocks regular pmc files' generation

---------

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>
Co-authored-by: benrichard-amd <ben.richard@amd.com>
Co-authored-by: fei.zheng <fei.zheng@amd.com>
Co-authored-by: YANG WANG <ywang@ywang-ubuntu.amd.com>
Co-authored-by: Carrie Fallows <Carrie.Fallows@amd.com>

* Simple fix for gpu model value. (#508)

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Add FP64 to plot adhering to pdf name (#507)

* Replacing FP32-only plot with an FP32&FP64 combo plot. Results will likely be negligible but the plot name indicates both should be graphed.

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* Remove duplicate AI plot to clean up fp32 fp64 graph

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

---------

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* Add gpu series for roofline (#510)

* Add gpu_series for roofline.

* Use gpu_series in path names for roofline.

* Fix  TCC on MI200 when introduce rocprofv3 (#509)

* quick fix for v2

* one more fix

* revert a bit

---------

Co-authored-by: ywang103-amd <ywang103@amd.com>

* Bump rocm-docs-core from 1.9.0 to 1.12.0 in /docs/sphinx (#511)

Bumps [rocm-docs-core](https://github.com/ROCm/rocm-docs-core) from 1.9.0 to 1.12.0.
- [Release notes](https://github.com/ROCm/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/ROCm/rocm-docs-core/compare/v1.9.0...v1.12.0)

---
updated-dependencies:
- dependency-name: rocm-docs-core
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Update sample roofline plot img (#516)

* Modify path to use gpu_model instead of gpu_series to match other workload directory path creation/search points. Affects manual testing, does not seem to affect ctests. (#513)

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>

* Improve formatting when displaying rocprof command. (#476)

* Improve formatting when displaying rocprof command.

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Fix python formatting.

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Strip unwanted characters (rocprofv1 specific) from rocprof commands.

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Strip unwanted characters (rocprofv1 specific) from rocprof commands.

Signed-off-by: xuchen-amd <xuchen@amd.com>

* Save the unmodified arguments for rocprof for debug message display.

Signed-off-by: xuchen-amd <xuchen@amd.com>

---------

Signed-off-by: xuchen-amd <xuchen@amd.com>

* quick fix for mpi_support (#518)

* Pass accumulate counters to rocprofv3 using -E option (#522)

rocprofv3 has a new -E option where extra counters can be passed (see accum_counters.yaml) instead
of defining them in counter_defs.yaml.

* Unify all file handling with pathlib (#512)

* Replace occurences of os.path functions with equivalent functions from
  pathlib library

* Remove unwanted imports of os.path and os

* Add coding guidelines for using pathlib instead of os.path

* Auto sync staging and mainline on a weekly cadence (#517)

Signed-off-by: coleramos425 <colramos@amd.com>

---------

Signed-off-by: Daniel Su <danielsu@amd.com>
Signed-off-by: xuchen-amd <xuchen@amd.com>
Signed-off-by: Peter Park <peter.park@amd.com>
Signed-off-by: Carrie Fallows <carrie.fallows@amd.com>
Signed-off-by: coleramos425 <colramos@amd.com>
Signed-off-by: David Galiffi <David.Galiffi@amd.com>
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>
Signed-off-by: benrichard-amd <ben.richard@amd.com>
Signed-off-by: Tim Gu <Tim.Gu@amd.com>
Co-authored-by: Daniel Su <danielsu@amd.com>
Co-authored-by: xuchen-amd <xuchen@amd.com>
Co-authored-by: Peter Park <peter.park@amd.com>
Co-authored-by: cfallows-amd <Carrie.Fallows@amd.com>
Co-authored-by: David Galiffi <David.Galiffi@amd.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Ben Richard <143630488+benrichard-amd@users.noreply.github.com>
Co-authored-by: Tim Gu <Tim.Gu@amd.com>
Co-authored-by: ywang103-amd <ywang103@amd.com>
Co-authored-by: benrichard-amd <ben.richard@amd.com>
Co-authored-by: YANG WANG <ywang@ywang-ubuntu.amd.com>
Co-authored-by: Fei Zheng <44449748+feizheng10@users.noreply.github.com>
Co-authored-by: fei.zheng <fei.zheng@amd.com>
Co-authored-by: vedithal-amd <Vignesh.Edithal@amd.com>

[ROCm/rocprofiler-compute commit: 272e5b6e32]
2025-01-02 15:29:47 -06:00

767 lignes
26 KiB
ReStructuredText

.. meta::
:description: ROCm Compute Profiler performance model: Vector L1 cache (vL1D)
:keywords: Omniperf, ROCm Compute Profiler, ROCm, profiler, tool, Instinct, accelerator, AMD, vector, l1, cache, vl1d
**********************
Vector L1 cache (vL1D)
**********************
The vector L1 data (vL1D) cache is local to each
:doc:`compute unit <compute-unit>` on the accelerator, and handles vector memory
operations issued by a wavefront. The vL1D cache consists of several components:
* An address processing unit, also known as the
:ref:`texture addresser <desc-ta>` which receives commands (instructions) and
write/atomic data from the :doc:`compute unit <compute-unit>`, and coalesces
them into fewer requests for the cache to process.
* An address translation unit, also known as the
:ref:`L1 Unified Translation Cache (UTCL1) <desc-utcl1>`, that translates
requests from virtual to physical addresses for lookup in the cache. The
translation unit has an L1 translation lookaside buffer (L1TLB) to reduce the
cost of repeated translations.
* A Tag RAM that looks up whether a requested cache line is already
present in the :ref:`cache <desc-tc>`.
* The result of the Tag RAM lookup is placed in the L1 cache controller
for routing to the correct location; for instance, the
:ref:`L2 Memory Interface <vl1d-l2-transaction-detail>` for misses or the
:ref:`cache RAM <desc-tc>` for hits.
* The cache RAM, also known as the :ref:`texture cache (TC) <desc-tc>`, stores
requested data for potential reuse. Data returned from the
:doc:`L2 cache <l2-cache>` is placed into the cache RAM before going down the
:ref:`data-return path <desc-td>`.
* A backend data processing unit, also known as the
:ref:`texture data (TD) <desc-td>` that routes data back to the requesting
:doc:`compute unit <compute-unit>`.
Together, this complex is known as the vL1D, or Texture Cache per Pipe
(TCP). A simplified diagram of the vL1D is presented below:
.. figure:: ../data/performance-model/l1perf_model.png
:align: center
:alt: Performance model of the vL1D Cache on AMD Instinct
:width: 800
Performance model of the vL1D Cache on AMD Instinct MI-series accelerators.
.. _vl1d-sol:
vL1D Speed-of-Light
===================
.. warning::
The theoretical maximum throughput for some metrics in this section are
currently computed with the maximum achievable clock frequency, as reported
by ``rocminfo``, for an accelerator. This may not be realistic for all
workloads.
The vL1D’s speed-of-light chart shows several key metrics for the vL1D
as a comparison with the peak achievable values of those metrics.
.. list-table::
:header-rows: 1
* - Metric
- Description
- Unit
* - Hit Rate
- The ratio of the number of vL1D cache line requests that hit [#vl1d-hit]_
in vL1D cache over the total number of cache line requests to the
:ref:`vL1D Cache RAM <desc-tc>`.
- Percent
* - Bandwidth
- The number of bytes looked up in the vL1D cache as a result of
:ref:`VMEM <desc-vmem>` instructions, as a percent of the peak
theoretical bandwidth achievable on the specific accelerator. The number
of bytes is calculated as the number of cache lines requested multiplied
by the cache line size. This value does not consider partial requests, so
for instance, if only a single value is requested in a cache line, the
data movement will still be counted as a full cache line.
- Percent
* - Utilization
- Indicates how busy the :ref:`vL1D Cache RAM <desc-tc>` was during the
kernel execution. The number of cycles where the vL1D Cache RAM is
actively processing any request divided by the number of cycles where the
vL1D is active [#vl1d-activity]_.
- Percent
* - Coalescing
- Indicates how well memory instructions were coalesced by the
:ref:`address processing unit <desc-ta>`, ranging from uncoalesced (25%)
to fully coalesced (100%). Calculated as the average number of
:ref:`thread-requests <thread-requests>` generated per instruction
divided by the ideal number of thread-requests per instruction.
- Percent
.. _desc-ta:
Address processing unit or Texture Addresser (TA)
=================================================
The :doc:`vL1D <vector-l1-cache>`’s address processing unit receives vector
memory instructions (commands) along with write/atomic data from a
:doc:`compute unit <compute-unit>` and is responsible for coalescing these into
requests for lookup in the :ref:`vL1D RAM <desc-tc>`. The address processor
passes information about the commands (coalescing state, destination SIMD,
etc.) to the :ref:`data processing unit <desc-td>` for use after the requested
data has been retrieved.
ROCm Compute Profiler reports several metrics to indicate performance bottlenecks in
the address processing unit, which are broken down into a few
categories:
- :ref:`ta-busy-stall`
- :ref:`ta-instruction-counts`
- :ref:`ta-spill-stack`
.. _ta-busy-stall:
Busy / stall metrics
--------------------
When executing vector memory instructions, the compute unit must send an
address (and in the case of writes/atomics, data) to the address
processing unit. When the front-end cannot accept any more addresses, it
must backpressure the wave-issue logic for the VMEM pipe and prevent the
issue of further vector memory instructions.
.. list-table::
:header-rows: 1
* - Metric
- Description
- Unit
* - Busy
- Percent of the :ref:`total CU cycles <total-cu-cycles>` the address
processor was busy
- Percent
* - Address Stall
- Percent of the :ref:`total CU cycles <total-cu-cycles>` the address
processor was stalled from sending address requests further into the vL1D
pipeline
- Percent
* - Data Stall
- Percent of the :ref:`total CU cycles <total-cu-cycles>` the address
processor was stalled from sending write/atomic data further into the
vL1D pipeline
- Percent
* - Data-Processor → Address Stall
- Percent of :ref:`total CU cycles <total-cu-cycles>` the address processor
was stalled waiting to send command data to the
:ref:`data processor <desc-td>`
- Percent
.. _ta-instruction-counts:
Instruction counts
------------------
The address processor also counts instruction types to give the user
information on what sorts of memory instructions were executed by the
kernel. These are broken down into a few major categories:
.. list-table::
:header-rows: 1
* - Memory type
- Usage
- Description
* - Global
- Global memory
- Global memory can be seen by all threads from a process. This includes
the local accelerator's DRAM, remote accelerator's DRAM, and the host's
DRAM.
* - Generic
- Dynamic address spaces
- Generic memory, or "flat" memory, is used when the compiler cannot
statically prove that a pointer is to memory in one or the other address
spaces. The pointer could dynamically point into global, local, constant,
or private memory.
* - Private Memory
- Register spills / Stack memory
- Private memory, or "scratch" memory, is only visible to a particular
:ref:`work-item <desc-work-item>` in a particular
:ref:`workgroup <desc-workgroup>`. On AMD Instinct™ MI-series
accelerators, private memory is used to implement both register spills
and stack memory accesses.
The address processor counts these instruction types as follows:
.. list-table::
:header-rows: 1
* - Type
- Description
- Unit
* - Global/Generic
- The total number of global & generic memory instructions executed on all
:doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Global/Generic Read
- The total number of global & generic memory read instructions executed on
all :doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Global/Generic Write
- The total number of global & generic memory write instructions executed
on all :doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Global/Generic Atomic
- The total number of global & generic memory atomic (with and without
return) instructions executed on all :doc:`compute units <compute-unit>`
on the accelerator, per :ref:`normalization unit <normalization-units>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Spill/Stack
- The total number of spill/stack memory instructions executed on all
:doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Spill/Stack Read
- The total number of spill/stack memory read instructions executed on all
:doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Spill/Stack Write
- The total number of spill/stack memory write instructions executed on all
:doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`.
- Instruction per :ref:`normalization unit <normalization-units>`
* - Spill/Stack Atomic
- The total number of spill/stack memory atomic (with and without return)
instructions executed on all :doc:`compute units <compute-unit>` on the
accelerator, per :ref:`normalization unit <normalization-units>`.
Typically unused as these memory operations are typically used to
implement thread-local storage.
- Instructions per :ref:`normalization unit <normalization-units>`
.. note::
The above is a simplified model specifically for the HIP programming language
that does not consider inline assembly usage, constant memory usage or
texture memory.
These categories correspond to:
* Global/Generic: global and flat memory operations, that are used for global
and generic memory access.
* Spill/Stack: buffer instructions which are used on the MI50, MI100, and
:ref:`MI2XX <mixxx-note>` accelerators for register spills / stack memory.
These concepts are described in more detail in the :ref:`memory-spaces`,
while generic memory access is explored in the
:ref:`generic memory benchmark <flat-memory-ex>` section.
.. _ta-spill-stack:
Spill / stack metrics
---------------------
Finally, the address processing unit contains a separate coalescing
stage for spill/stack memory, and thus reports:
.. list-table::
:header-rows: 1
* - Metric
- Description
- Unit
* - Spill/Stack Total Cycles
- The number of cycles the address processing unit spent working on
spill/stack instructions, per
:ref:`normalization unit <normalization-units>`.
- Cycles per :ref:`normalization unit <normalization-units>`
* - Spill/Stack Coalesced Read Cycles
- The number of cycles the address processing unit spent working on
coalesced spill/stack read instructions, per
:ref:`normalization unit <normalization-units>`.
- Cycles per :ref:`normalization unit <normalization-units>`
* - Spill/Stack Coalesced Write Cycles
- The number of cycles the address processing unit spent working on
coalesced spill/stack write instructions, per
:ref:`normalization unit <normalization-units>`.
- Cycles per :ref:`normalization unit <normalization-units>`
.. _desc-utcl1:
L1 Unified Translation Cache (UTCL1)
====================================
After a vector memory instruction has been processed/coalesced by the
address processing unit of the vL1D, it must be translated from a
virtual to physical address. This process is handled by the L1 Unified
Translation Cache (UTCL1). This cache contains a L1 Translation
Lookaside Buffer (TLB) which stores recently translated addresses to
reduce the cost of subsequent re-translations.
ROCm Compute Profiler reports the following L1 TLB metrics:
.. list-table::
:header-rows: 1
* - Metric
- Description
- Unit
* - Requests
- The number of translation requests made to the UTCL1 per
:ref:`normalization unit <normalization-units>`.
- Requests per :ref:`normalization unit <normalization-units>`
* - Hits
- The number of translation requests that hit in the UTCL1, and could be
reused, per :ref:`normalization unit <normalization-units>`.
- Requests per :ref:`normalization unit <normalization-units>`
* - Hit Ratio
- The ratio of the number of translation requests that hit in the UTCL1
divided by the total number of translation requests made to the UTCL1.
- Percent
* - Translation Misses
- The total number of translation requests that missed in the UTCL1 due to
translation not being present in the cache, per
:ref:`normalization unit <normalization-units>`.
- Requests per :ref:`normalization unit <normalization-units>`
* - Permission Misses
- The total number of translation requests that missed in the UTCL1 due to
a permission error, per :ref:`normalization unit <normalization-units>`.
This is unused and expected to be zero in most configurations for modern
CDNA™ accelerators.
- Requests per :ref:`normalization unit <normalization-units>`
.. note::
On current CDNA accelerators, such as the :ref:`MI2XX <mixxx-note>`, the
UTCL1 does *not* count hit-on-miss requests.
.. _desc-tc:
Vector L1 Cache RAM or Texture Cache (TC)
=========================================
After coalescing in the :ref:`address processing unit <desc-ta>` of the v1LD,
and address translation in the :ref:`L1 TLB <desc-utcl1>` the request proceeds
to the Cache RAM stage of the pipeline. Incoming requests are looked up
in the cache RAMs using parts of the physical address as a tag. Hits
will be returned through the :ref:`data-return path <desc-td>`, while misses
will routed out to the :doc:`L2 Cache <l2-cache>` for servicing.
The metrics tracked by the vL1D RAM include:
- :ref:`Stall metrics <vl1d-cache-stall-metrics>`
- :ref:`Cache access metrics <vl1d-cache-access-metrics>`
- :ref:`vL1D-L2 transaction detail metrics <vl1d-l2-transaction-detail>`
.. _vl1d-cache-stall-metrics:
vL1D cache stall metrics
------------------------
The vL1D also reports where it is stalled in the pipeline, which may
indicate performance limiters of the cache. A stall in the pipeline may
result in backpressuring earlier parts of the pipeline, e.g., a stall on
L2 requests may backpressure the wave-issue logic of the :ref:`VMEM <desc-vmem>`
pipe and prevent it from issuing more vector memory instructions until
the vL1D’s outstanding requests are completed.
.. list-table::
:header-rows: 1
* - Metric
- Description
- Unit
* - Stalled on L2 Data
- The ratio of the number of cycles where the vL1D is stalled waiting for
requested data to return from the :doc:`L2 cache <l2-cache>` divided by
the number of cycles where the vL1D is active [#vl1d-activity]_.
- Percent
* - Stalled on L2 Requests
- The ratio of the number of cycles where the vL1D is stalled waiting to
issue a request for data to the :doc:`L2 cache <l2-cache>` divided by the
number of cycles where the vL1D is active [#vl1d-activity]_.
- Percent
* - Tag RAM Stall (Read/Write/Atomic)
- The ratio of the number of cycles where the vL1D is stalled due to
Read/Write/Atomic requests with conflicting tags being looked up
concurrently, divided by the number of cycles where the
vL1D is active [#vl1d-activity]_.
- Percent
.. _vl1d-cache-access-metrics:
vL1D cache access metrics
-------------------------
The vL1D cache access metrics broadly indicate the type of requests
incoming from the :ref:`cache front-end <desc-ta>`, the number of requests that
were serviced by the vL1D, and the number & type of outgoing requests to
the :doc:`L2 cache <l2-cache>`. In addition, this section includes the
approximate latencies of accesses to the cache itself, along with
latencies of read/write memory operations to the :doc:`L2 cache <l2-cache>`.
.. list-table::
:header-rows: 1
* - Metric
- Description
- Unit
* - Total Requests
- The total number of incoming requests from the
:ref:`address processing unit <desc-ta>` after coalescing.
- Requests
* - Total read/write/atomic requests
- The total number of incoming read/write/atomic requests from the
:ref:`address processing unit <desc-ta>` after coalescing per
:ref:`normalization unit <normalization-units>`
- Requests per :ref:`normalization unit <normalization-units>`
* - Cache Bandwidth
- The number of bytes looked up in the vL1D cache as a result of
:ref:`VMEM <desc-vmem>` instructions per
:ref:`normalization unit <normalization-units>`. The number of bytes is
calculated as the number of cache lines requested multiplied by the cache
line size. This value does not consider partial requests, so for
instance, if only a single value is requested in a cache line, the data
movement will still be counted as a full cache line.
- Bytes per :ref:`normalization unit <normalization-units>`
* - Cache Hit Rate [#vl1d-hit]_
- The ratio of the number of vL1D cache line requests that hit in vL1D
cache over the total number of cache line requests to the
:ref:`vL1D Cache RAM <desc-tc>`.
- Percent
* - Cache Accesses
- The total number of cache line lookups in the vL1D.
- Cache lines
* - Cache Hits [#vl1d-hit]_
- The number of cache accesses minus the number of outgoing requests to the
:doc:`L2 cache <l2-cache>`, that is, the number of cache line requests
serviced by the :ref:`vL1D Cache RAM <desc-tc>` per
:ref:`normalization unit <normalization-units>`.
- Cache lines per :ref:`normalization unit <normalization-units>`
* - Invalidations
- The number of times the vL1D was issued a write-back invalidate command
during the kernel's execution per
:ref:`normalization unit <normalization-units>`. This may be triggered
by, for instance, the ``buffer_wbinvl1`` instruction.
- Invalidations per :ref:`normalization unit <normalization-units>`
* - L1-L2 Bandwidth
- The number of bytes transferred across the vL1D-L2 interface as a result
of :ref:`VMEM <desc-vmem>` instructions, per
:ref:`normalization unit <normalization-units>`. The number of bytes is
calculated as the number of cache lines requested multiplied by the cache
line size. This value does not consider partial requests, so for
instance, if only a single value is requested in a cache line, the data
movement will still be counted as a full cache line.
- Bytes per :ref:`normalization unit <normalization-units>`
* - L1-L2 Reads
- The number of read requests for a vL1D cache line that were not satisfied
by the vL1D and must be retrieved from the to the
:doc:`L2 Cache <l2-cache>` per
:ref:`normalization unit <normalization-units>`.
- Requests per :ref:`normalization unit <normalization-units>`
* - L1-L2 Writes
- The number of write requests to a vL1D cache line that were sent through
the vL1D to the :doc:`L2 cache <l2-cache>`, per
:ref:`normalization unit <normalization-units>`.
- Requests per :ref:`normalization unit <normalization-units>`
* - L1-L2 Atomics
- The number of atomic requests that are sent through the vL1D to the
:doc:`L2 cache <l2-cache>`, per
:ref:`normalization unit <normalization-units>`. This includes requests
for atomics with, and without return.
- Requests per :ref:`normalization unit <normalization-units>`
* - L1 Access Latency
- Calculated as the average number of cycles that a vL1D cache line request
spent in the vL1D cache pipeline.
- Cycles
* - L1-L2 Read Access Latency
- Calculated as the average number of cycles that the vL1D cache took to
issue and receive read requests from the :doc:`L2 Cache <l2-cache>`. This
number also includes requests for atomics with return values.
- Cycles
* - L1-L2 Write Access Latency
- Calculated as the average number of cycles that the vL1D cache took to
issue and receive acknowledgement of a write request to the
:doc:`L2 Cache <l2-cache>`. This number also includes requests for
atomics without return values.
- Cycles
.. note::
All cache accesses in vL1D are for a single cache line's worth of data.
The size of a cache line may vary, however on current AMD Instinct MI CDNA
accelerators and GCN™ GPUs the L1 cache line size is 64B.
.. rubric :: Footnotes
.. [#vl1d-hit] The vL1D cache on AMD Instinct MI-series CDNA accelerators
uses a "hit-on-miss" approach to reporting cache hits. That is, if while
satisfying a miss, another request comes in that would hit on the same
pending cache line, the subsequent request will be counted as a "hit".
Therefore, it is also important to consider the access latency metric in the
:ref:`Cache access metrics <vl1d-cache-stall-metrics>` section when
evaluating the vL1D hit rate.
.. [#vl1d-activity] ROCm Compute Profiler considers the vL1D to be active when any part of
the vL1D (excluding the :ref:`address processor <desc-ta>` and
:ref:`data return <desc-td>` units) are active, for example, when performing
a translation, waiting for data, accessing the Tag or Cache RAMs, etc.
.. _vl1d-l2-transaction-detail:
vL1D - L2 Transaction Detail
----------------------------
This section provides a more granular look at the types of requests made
to the :doc:`L2 cache <l2-cache>`. These are broken down by the operation type
(read / write / atomic, with, or without return), and the
:ref:`memory type <memory-type>`.
.. _desc-td:
Vector L1 data-return path or Texture Data (TD)
===============================================
The data-return path of the vL1D cache, also known as the Texture Data
(TD) unit, is responsible for routing data returned from the
:ref:`vL1D cache RAM <desc-tc>` back to a wavefront on a SIMD. As described in
the :ref:`vL1D cache front-end <desc-ta>` section, the data-return path is passed
information about the space requirements and routing for data requests
from the :ref:`VALU <desc-valu>`. When data is returned from the
:ref:`vL1D cache RAM <desc-tc>`, it is matched to this previously stored request
data, and returned to the appropriate SIMD.
ROCm Compute Profiler reports the following vL1D data-return path metrics:
.. list-table::
:header-rows: 1
* - Metric
- Description
- Unit
* - Data-return Busy
- Percent of the :ref:`total CU cycles <total-cu-cycles>` the data-return
unit was busy processing or waiting on data to return to the
:doc:`CU <compute-unit>`.
- Percent
* - Cache RAM → Data-return Stall
- Percent of the :ref:`total CU cycles <total-cu-cycles>` the data-return
unit was stalled on data to be returned from the
:ref:`vL1D Cache RAM <desc-tc>`.
- Percent
* - Workgroup manager → Data-return Stall
- Percent of the :ref:`total CU cycles <total-cu-cycles>` the data-return
unit was stalled by the :ref:`workgroup manager <desc-spi>` due to
initialization of registers as a part of launching new workgroups.
- Percent
* - Coalescable Instructions
- The number of instructions submitted to the
:ref:`data-return unit <desc-td>` by the
:ref:`address processor <desc-ta>` that were found to be coalescable, per
:ref:`normalization unit <normalization-units>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Read Instructions
- The number of read instructions submitted to the
:ref:`data-return unit <desc-td>` by the
:ref:`address processor <desc-ta>` summed over all
:doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`. This is expected to be
the sum of global/generic and spill/stack reads in the
:ref:`address processor <desc-ta>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Write Instructions
- The number of store instructions submitted to the
:ref:`data-return unit <desc-td>` by the
:ref:`address processor <desc-ta>` summed over all
:doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`. This is expected to be
the sum of global/generic and spill/stack stores counted by the
:ref:`vL1D cache-front-end <ta-instruction-counts>`.
- Instructions per :ref:`normalization unit <normalization-units>`
* - Atomic Instructions
- The number of atomic instructions submitted to the
:ref:`data-return unit <desc-td>` by the
:ref:`address processor <desc-ta>` summed over all
:doc:`compute units <compute-unit>` on the accelerator, per
:ref:`normalization unit <normalization-units>`. This is expected to be
the sum of global/generic and spill/stack atomics in the
:ref:`address processor <desc-ta>`.
- Instructions per :ref:`normalization unit <normalization-units>`