colramos-amd
24 KiB
24 KiB
Omniperf Performance Analysis
.. toctree::
:glob:
:maxdepth: 4
The Omniperf repository comes with a sample GPU compute workload, vcopy. This workload is used throughout the following sections to demonstrate the use of Omniperf in MI GPU performance analysis.
Unless otherwise noted, the performance analysis is done on the MI200 platform.
Workload Compilation
vcopy compilation:
$ hipcc vcopy.cpp -o vcopy
$ ls
vcopy vcopy.cpp
$ ./vcopy 1048576 256
Finished allocating vectors on the CPU
Finished allocating vectors on the GPU
Finished copying vectors to the GPU
sw thinks it moved 1.000000 KB per wave
Total threads: 1048576, Grid Size: 4096 block Size:256, Wavefronts:16384:
Launching the kernel on the GPU
Finished executing kernel
Finished copying the output vector from the GPU to the CPU
Releasing GPU memory
Releasing CPU memory
Omniperf Profiling
The omniperf script, availible through the Omniperf repository, is used to aquire all necessary perfmon data through analysis of compute workloads.
omniperf help:
$ omniperf profile --help
ROC Profiler: /usr/bin/rocprof
usage:
omniperf profile --name <workload_name> [profile options] [roofline options] -- <profile_cmd>
-------------------------------------------------------------------------------
Examples:
omniperf profile -n vcopy_all -- ./vcopy 1048576 256
omniperf profile -n vcopy_SPI_TD -b SQ TCC -- ./vcopy 1048576 256
omniperf profile -n vcopy_kernel -k vecCopy -- ./vcopy 1048576 256
omniperf profile -n vcopy_disp -d 0 -- ./vcopy 1048576 256
omniperf profile -n vcopy_roof --roof-only -- ./vcopy 1048576 256
-------------------------------------------------------------------------------
Help:
-h, --help show this help message and exit
General Options:
-v, --version show program's version number and exit
-V, --verbose Increase output verbosity
Profile Options:
-n , --name Assign a name to workload.
-p , --path Specify path to save workload.
(DEFAULT: /home/colramos/GitHub/omniperf/workloads/<name>)
-k [ ...], --kernel [ ...] Kernel filtering.
-b [ ...], --ipblocks [ ...] IP block filtering:
SQ
SQC
TA
TD
TCP
TCC
SPI
CPC
CPF
-d [ ...], --dispatch [ ...] Dispatch ID filtering.
--no-roof Profile without collecting roofline data.
-- [ ...] Provide command for profiling after double dash.
Standalone Roofline Options:
--roof-only Profile roofline data only.
--sort Overlay top kernels or top dispatches: (DEFAULT: kernels)
kernels
dispatches
-m , --mem-level Filter by memory level: (DEFAULT: ALL)
HBM
L2
vL1D
LDS
--axes [ ...] Desired axis values for graph. As follows:
xmin xmax ymin ymax
--device GPU device ID. (DEFAULT: ALL)
-
The
-k<kernel> flag allows for kernel filtering, which is compatible with the current rocprof utility. -
The
-d<dispatch> flag allows for dispatch ID filtering, which is compatible with the current rocprof utility. -
The
-b<ipblocks> allows system profiling on one or more selected IP blocks to speed up the profiling process. One can gradually incorporate more IP blocks, without overwriting performance data acquired on other IP blocks.
The following sample command profiles the vcopy workload.
vcopy profiling:
$ omniperf profile --name vcopy -- ./vcopy 1048576 256
ROC Profiler: /usr/bin/rocprof
--------
Profile only
--------
omniperf ver: v1.0.3
Path: workloads
Target: mi200
Command: ./vcopy 1048576 256
Kernel Selection: None
Dispatch Selection: None
IP Blocks: All
RPL: on '220527_130247' from '/opt/rocm-5.2.0-9768/rocprofiler' in '/home/amd/xlu/test'
RPL: profiling '""./vcopy 1048576 256""'
RPL: input file 'workloads/vcopy/mi200/perfmon/SQ_IFETCH_LEVEL.txt'
RPL: output dir '/tmp/rpl_data_220527_130247_1781699'
RPL: result dir '/tmp/rpl_data_220527_130247_1781699/input0_results_220527_130247'
Finished allocating vectors on the CPU
ROCProfiler: input from "/tmp/rpl_data_220527_130247_1781699/input0.xml"
gpu_index =
kernel =
range =
6 metrics
GRBM_COUNT, GRBM_GUI_ACTIVE, SQ_WAVES, SQ_IFETCH, SQ_IFETCH_LEVEL, SQ_ACCUM_PREV_HIRES
Finished allocating vectors on the GPU
Finished copying vectors to the GPU
sw thinks it moved 1.000000 KB per wave
Total threads: 1048576, Grid Size: 4096 block Size:256, Wavefronts:16384:
Launching the kernel on the GPU
Finished executing kernel
Finished copying the output vector from the GPU to the CPU
Releasing GPU memory
Releasing CPU memory
... ...
ROCPRofiler: 1 contexts collected, output directory /tmp/rpl_data_220527_130317_1787038/input_results_220527_130317
File 'workloads/vcopy/mi200/timestamps.csv' is generating
Total detected GPU devices: 2
GPU Device 0: Profiling...
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
HBM BW, GPU ID: 0, workgroupSize:256, workgroups:2097152, experiments:100, traffic:8589934592 bytes, duration:6.2 ms, mean:1382.7 GB/sec, stdev=2.4 GB/sec
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
L2 BW, GPU ID: 0, workgroupSize:256, workgroups:8192, experiments:100, traffic:687194767360 bytes, duration:157.9 ms, mean:4358.7 GB/sec, stdev=4.7 GB/sec
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
L1 BW, GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, traffic:26843545600 bytes, duration:3.3 ms, mean:8247.1 GB/sec, stdev=5.1 GB/sec
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
LDS BW, GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, traffic:33554432000 bytes, duration:2.4 ms, mean:14246.3 GB/sec, stdev=29.5 GB/sec
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak FLOPs (FP32), GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, FLOP:274877906944, duration:14.507 ms, mean:18949.6 GFLOPS, stdev=4.5 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak FLOPs (FP64), GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, FLOP:137438953472, duration:7.5 ms, mean:18308.197266.1 GFLOPS, stdev=3.6 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA FLOPs (BF16), GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, FLOP:2147483648000, duration:14.0 ms, mean:153574.8 GFLOPS, stdev=79.9 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA FLOPs (F16), GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, FLOP:2147483648000, duration:14.5 ms, mean:147680.1 GFLOPS, stdev=34.7 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA FLOPs (F32), GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, FLOP:536870912000, duration:14.5 ms, mean:37142.1 GFLOPS, stdev=8.4 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA FLOPs (F64), GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, FLOP:268435456000, duration:7.3 ms, mean:36919.5 GFLOPS, stdev=14.1 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA IOPs (I8), GPU ID: 0, workgroupSize:256, workgroups:16384, experiments:100, IOP:2147483648000, duration:14.4 ms, mean:149570.6 GOPS, stdev=41.7 GOPS
GPU Device 1: Profiling...
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
HBM BW, GPU ID: 1, workgroupSize:256, workgroups:2097152, experiments:100, traffic:8589934592 bytes, duration:6.2 ms, mean:1382.7 GB/sec, stdev=2.9 GB/sec
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
L2 BW, GPU ID: 1, workgroupSize:256, workgroups:8192, experiments:100, traffic:687194767360 bytes, duration:157.6 ms, mean:4371.0 GB/sec, stdev=4.1 GB/sec
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
L1 BW, GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, traffic:26843545600 bytes, duration:3.2 ms, mean:8297.4 GB/sec, stdev=11.6 GB/sec
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
LDS BW, GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, traffic:33554432000 bytes, duration:1.8 ms, mean:18839.2 GB/sec, stdev=44.5 GB/sec
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak FLOPs (FP32), GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, FLOP:274877906944, duration:14.441 ms, mean:19037.6 GFLOPS, stdev=2.7 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak FLOPs (FP64), GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, FLOP:137438953472, duration:7.5 ms, mean:18402.255859.1 GFLOPS, stdev=20.1 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA FLOPs (BF16), GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, FLOP:2147483648000, duration:13.9 ms, mean:154240.3 GFLOPS, stdev=119.3 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA FLOPs (F16), GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, FLOP:2147483648000, duration:14.5 ms, mean:148450.1 GFLOPS, stdev=112.6 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA FLOPs (F32), GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, FLOP:536870912000, duration:14.4 ms, mean:37335.2 GFLOPS, stdev=43.1 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA FLOPs (F64), GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, FLOP:268435456000, duration:7.2 ms, mean:37105.3 GFLOPS, stdev=39.5 GFLOPS
99% [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ]
Peak MFMA IOPs (I8), GPU ID: 1, workgroupSize:256, workgroups:16384, experiments:100, IOP:2147483648000, duration:14.3 ms, mean:150317.8 GOPS, stdev=203.5 GOPS
At the end of the profiling, all resulting csv files should be located in the SOC specific target directory, e.g., mi200.
Note: An SoC parameters file, sysinfo.csv, is also created to reflect the target device settings.
$ ls workloads/vcopy/mi200/
total 116
-rw-rw-r-- 1 amd amd 400 May 27 13:03 SQC_DCACHE_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 452 May 27 13:03 SQC_DCACHE_TC_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 451 May 27 13:03 SQC_DCACHE_UTCL1_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 445 May 27 13:03 SQC_DCACHE_UTCL2_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 396 May 27 13:03 SQC_ICACHE_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 396 May 27 13:03 SQC_ICACHE_TC_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 445 May 27 13:03 SQC_ICACHE_UTCL1_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 442 May 27 13:03 SQC_ICACHE_UTCL2_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 423 May 27 13:03 SQC_TC_INFLIGHT_LEVEL.csv
-rw-rw-r-- 1 amd amd 437 May 27 13:02 SQ_IFETCH_LEVEL.csv
-rw-rw-r-- 1 amd amd 374 May 27 13:03 SQ_INST_LEVEL_EXP.csv
-rw-rw-r-- 1 amd amd 374 May 27 13:03 SQ_INST_LEVEL_GDS.csv
-rw-rw-r-- 1 amd amd 374 May 27 13:02 SQ_INST_LEVEL_LDS.csv
-rw-rw-r-- 1 amd amd 392 May 27 13:03 SQ_INST_LEVEL_SMEM.csv
-rw-rw-r-- 1 amd amd 392 May 27 13:03 SQ_INST_LEVEL_VMEM.csv
-rw-rw-r-- 1 amd amd 516 May 27 13:03 SQ_LEVEL_WAVES.csv
drwxrwxr-x 2 amd amd 4096 May 27 13:02 perfmon
-rw-rw-r-- 1 amd amd 32797 May 27 13:03 pmc_perf.csv
-rw-rw-r-- 1 amd amd 958 May 27 13:04 roofline.csv
-rw-rw-r-- 1 amd amd 469 May 27 13:03 sysinfo.csv
-rw-rw-r-- 1 amd amd 317 May 27 13:03 timestamps.csv
IP Block Profiling
One can profile a selected IP Block to speed up the profiling process. All profiling results are accumulated in the same target directory, without overwriting those for other IP blocks, hence enabling the incremental profiling and analysis.
The following example only profiles SQ and TCC, skipping all other IP Blocks.
$ omniperf profile --name vcopy -b SQ TCC -- ./sample/vcopy 1048576 256
ROC Profiler: /usr/bin/rocprof
--------
Profile only
--------
omniperf ver: v1.0.3
Path: workloads
Target: mi200
Command: ./vcopy 1048576 256
Kernel Selection: None
Dispatch Selection: None
IP Blocks: ['SQ', 'TCC']
fname: pmc_ta_perf: Skipped
fname: pmc_sq_perf3: Added
fname: pmc_sqc_icache_perf2: Skipped
fname: pmc_sqc_dcache_perf2: Skipped
fname: pmc_sqc_dcache_perf3: Skipped
fname: pmc_sqc_icache_perf4: Skipped
fname: pmc_sqc_dcache_perf5: Skipped
fname: pmc_sqc_dcache_perf4: Skipped
fname: pmc_cpc_perf: Skipped
fname: pmc_sqc_icache_perf1: Skipped
fname: pmc_sq_perf4: Added
fname: pmc_sqc_icache_perf5: Skipped
fname: pmc_sq_perf5: Added
fname: pmc_grbm_perf: Skipped
fname: pmc_sq_perf8: Added
fname: pmc_sq_perf2: Added
fname: pmc_sq_perf6: Added
fname: pmc_sqc_icache_perf3: Skipped
fname: pmc_sqc_dcache_perf1: Skipped
fname: pmc_sq_perf7: Added
fname: pmc_cpf_perf: Skipped
fname: pmc_sqc_dcache_perf6: Skipped
fname: pmc_tcp_perf: Skipped
fname: pmc_spi_perf: Skipped
fname: pmc_td_perf: Skipped
fname: pmc_tcc_perf: Added
fname: pmc_tcc2_perf: Skipped
fname: pmc_sq_perf1: Added
RPL: on '220527_130730' from '/opt/rocm-5.2.0-9768/rocprofiler' in '/home/amd/xlu/test'
RPL: profiling '""./vcopy 1048576 256""'
RPL: input file 'workloads/vcopy/mi200/perfmon/SQ_IFETCH_LEVEL.txt'
RPL: output dir '/tmp/rpl_data_220527_130730_1788165'
RPL: result dir '/tmp/rpl_data_220527_130730_1788165/input0_results_220527_130730'
Finished allocating vectors on the CPU
ROCProfiler: input from "/tmp/rpl_data_220527_130730_1788165/input0.xml"
... ...
ROCPRofiler: 1 contexts collected, output directory /tmp/rpl_data_220527_130751_1791421/input_results_220527_130751
File 'workloads/vcopy/mi200/timestamps.csv' is generating
Total detected GPU devices: 2
GPU Device 0: Profiling...
... ...
Kernel Filtering
The following example demonstrates profiling on selected kernels:
$ omniperf profile --name vcopy -k vecCopy -- ./vcopy 1048576 256
ROC Profiler: /usr/bin/rocprof
--------
Profile only
--------
omniperf ver: v1.0.3
Path: workloads
Target: mi200
Command: ./vcopy 1048576 256
Kernel Selection: ['vecCopy']
Dispatch Selection: None
IP Blocks: All
RPL: on '220527_164748' from '/opt/rocm-5.2.0-9768/rocprofiler' in '/home/amd/xlu/test'
RPL: profiling '""./vcopy 1048576 256""'
RPL: input file 'workloads/vcopy/mi200/perfmon/SQ_IFETCH_LEVEL.txt'
RPL: output dir '/tmp/rpl_data_220527_164748_1795414'
RPL: result dir '/tmp/rpl_data_220527_164748_1795414/input0_results_220527_164748'
Finished allocating vectors on the CPU
ROCProfiler: input from "/tmp/rpl_data_220527_164748_1795414/input0.xml"
gpu_index =
kernel = vecCopy
... ...
Dispatch Filtering
The following example demonstrates profiling on selected dispatches:
$ omniperf profile --name vcopy -d 0 -- ./vcopy 1048576 256
ROC Profiler: /usr/bin/rocprof
--------
Profile only
--------
omniperf ver: v1.0
Path: workloads
Target: mi200
Command: ./vcopy 1048576 256
Kernel Selection: None
Dispatch Selection: ['0']
IP Blocks: All
... ...
Omniperf Grafana GUI Import
The omniperf database --import option imports the raw profiling data to Grafana's backend MongoDB database. This step is only required for Grafana GUI based performance analysis.
Each workload is imported to a separate database with the following naming convention:
omniperf_<team>_<database>_<soc>
e.g., omniperf_asw_vcopy_mi200.
Below is the sample command to import the vcopy profiling data.
$ omniperf database --help
ROC Profiler: /usr/bin/rocprof
usage:
omniperf database <interaction type> [connection options]
-------------------------------------------------------------------------------
Examples:
omniperf database --import -H pavii1 -u amd -t asw -w workloads/vcopy/mi200/
omniperf database --remove -H pavii1 -u amd -w omniperf_asw_sample_mi200
-------------------------------------------------------------------------------
Help:
-h, --help show this help message and exit
General Options:
-v, --version show program's version number and exit
-V, --verbose Increase output verbosity
Interaction Type:
-i, --import Import workload to Omniperf DB
-r, --remove Remove a workload from Omniperf DB
Connection Options:
-H , --host Name or IP address of the server host.
-P , --port TCP/IP Port. (DEFAULT: 27018)
-u , --username Username for authentication.
-p , --password The user's password. (will be requested later if it's not set)
-t , --team Specify Team prefix.
-w , --workload Specify name of workload (to remove) or path to workload (to import)
-k , --kernelVerbose Specify Kernel Name verbose level 1-5.
Lower the level, shorter the kernel name. (DEFAULT: 2) (DISABLE: 5)
omniperf import for vcopy:
$ omniperf database --import -H pavii1 -u amd -t asw -w workloads/vcopy/mi200/
ROC Profiler: /usr/bin/rocprof
--------
Import Profiling Results
--------
Pulling data from /home/amd/xlu/test/workloads/vcopy/mi200
The directory exists
Found sysinfo file
KernelName shortening enabled
Kernel name verbose level: 2
Password:
Password recieved
-- Conversion & Upload in Progress --
0%| | 0/11 [00:00<?, ?it/s]/home/amd/xlu/test/workloads/vcopy/mi200/SQ_IFETCH_LEVEL.csv
9%|█████████████████▉ | 1/11 [00:00<00:01, 8.53it/s]/home/amd/xlu/test/workloads/vcopy/mi200/pmc_perf.csv
18%|███████████████████████████████████▊ | 2/11 [00:00<00:01, 6.99it/s]/home/amd/xlu/test/workloads/vcopy/mi200/SQ_INST_LEVEL_SMEM.csv
27%|█████████████████████████████████████████████████████▋ | 3/11 [00:00<00:01, 7.90it/s]/home/amd/xlu/test/workloads/vcopy/mi200/SQ_LEVEL_WAVES.csv
36%|███████████████████████████████████████████████████████████████████████▋ | 4/11 [00:00<00:00, 8.56it/s]/home/amd/xlu/test/workloads/vcopy/mi200/SQ_INST_LEVEL_LDS.csv
45%|█████████████████████████████████████████████████████████████████████████████████████████▌ | 5/11 [00:00<00:00, 9.00it/s]/home/amd/xlu/test/workloads/vcopy/mi200/SQ_INST_LEVEL_VMEM.csv
55%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 6/11 [00:00<00:00, 9.24it/s]/home/amd/xlu/test/workloads/vcopy/mi200/sysinfo.csv
64%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 7/11 [00:00<00:00, 9.37it/s]/home/amd/xlu/test/workloads/vcopy/mi200/roofline.csv
82%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 9/11 [00:00<00:00, 12.60it/s]/home/amd/xlu/test/workloads/vcopy/mi200/timestamps.csv
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 11/11 [00:00<00:00, 11.05it/s]
9 collections added.
Workload name uploaded
-- Complete! --