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authorTvrtko Ursulin <tvrtko.ursulin@intel.com>2017-05-10 16:49:07 +0100
committerTvrtko Ursulin <tvrtko.ursulin@intel.com>2017-05-16 08:03:37 +0100
commit0943be8987ae9ab099ee9d1a1832cf62a918ca5b (patch)
treead6e43f20e3940eaa1cd673644a6e763c03c119a /scripts/Makefile.am
parent2e10dc96c57373c9e5ece2a641a2012db9f07331 (diff)
igt/media-bench.pl: Media workload analyzer
The high level goal of this script is to programatically analyze the simulated media workloads (gem_wsim) by finding an optimal load balancing strategy, and also detecting any possible shortcomings of the same. When run without command line arguments script will run through both of its phases. In the first phase it will be running all the known balancers against the all the known workloads, and for each combination look for a point where aggregated system throughput cannot be increased by running more parallel workload instances. At that point each balancer gets a score proportional to the throughput achieved, which is added to the running total for the complete phase. Several different score boards are kept - total throughput, per client throughput and combined (total + per client). Weighted scoreboards are also kept where scores are weighted based on the total variance detected for a single workload. This means scores for workloads which respond well to being balanced will be worth more than of the ones which do not balance well in neither of the configurations. Based on the first phase a "best" balancing strategy will be selected based on the combined weighted scoreboard. Second phase will then proceed to profile all the selected workloads with this balancer and look at potential problems with GPU engines not being completely saturated. If none of the active engine is saturated the workload will be flagged, as it will if the only saturated engine is one of the ones which can be balanced, but the other one in the same class is under-utilized. Flagged workloads then need to be analyzed which can be achieved by looking at the html of the engine timelines which are generated during this phase. (These files are all put in the current working directory.) It is quite possible that something flagged by the script as suspect is completely fine and just a consequence of the workload in question being fundementally unbalanced. It is possible to skip directly to the second phase of the evaluation by using the -b command line option. This option must contain a string exactly as understood by gem_wsim's -b option. For example '-b "-b rtavg -R"'. Apart from being run with no arguments, script also supports a selection of command line switches to enable fine tuning. For example, also including the complete output from the script in order to be more illustrative: -8<--- + scripts/media-bench.pl -n 642317 -r 2 -B rand,rtavg -W media_load_balance_hd12.wsim,media_load_balance_fhd26u7.wsim Workloads: media_load_balance_hd12.wsim media_load_balance_fhd26u7.wsim Balancers: rand,rtavg, Target workload duration is 2s. Calibration tolerance is 0.01. Nop calibration is 642317. Evaluating 'media_load_balance_hd12.wsim'... 2s is 990 workloads. (error=0.00750000000000006) Finding saturation points for 'media_load_balance_hd12.wsim'... rand balancer ('-b rand'): 6 clients (1412.576 wps, 235.429333333333 wps/client). rand balancer ('-b rand -R'): 6 clients (1419.639 wps, 236.6065 wps/client). rtavg balancer ('-b rtavg'): 5 clients (1430.143 wps, 286.0286 wps/client). rtavg balancer ('-b rtavg -H'): 5 clients (1339.775 wps, 267.955 wps/client). rtavg balancer ('-b rtavg -R'): 5 clients (1386.384 wps, 277.2768 wps/client). rtavg balancer ('-b rtavg -R -H'): 6 clients (1365.943 wps, 227.657166666667 wps/client). Best balancer is '-b rtavg'. Evaluating 'media_load_balance_fhd26u7.wsim'... 2s is 52 workloads. (error=0.002) Finding saturation points for 'media_load_balance_fhd26u7.wsim'... rand balancer ('-b rand'): 3 clients (46.532 wps, 15.5106666666667 wps/client). rand balancer ('-b rand -R'): 3 clients (46.242 wps, 15.414 wps/client). rtavg balancer ('-b rtavg'): 6 clients (61.232 wps, 10.2053333333333 wps/client). rtavg balancer ('-b rtavg -H'): 4 clients (57.608 wps, 14.402 wps/client). rtavg balancer ('-b rtavg -R'): 6 clients (61.793 wps, 10.2988333333333 wps/client). rtavg balancer ('-b rtavg -R -H'): 7 clients (60.697 wps, 8.671 wps/client). Best balancer is '-b rtavg -R'. Total wps rank: =============== 1: '-b rtavg' (1) 2: '-b rtavg -R' (0.989191465637926) 3: '-b rtavg -R -H' (0.973103630772601) 4: '-b rtavg -H' (0.938804458876241) 5: '-b rand -R' (0.874465740398305) 6: '-b rand' (0.874342391093453) Total weighted wps rank: ======================== 1: '-b rtavg -R' (1) 2: '-b rtavg' (0.998877134022041) 3: '-b rtavg -R -H' (0.982849160383224) 4: '-b rtavg -H' (0.938950446314292) 5: '-b rand' (0.80507369080098) 6: '-b rand -R' (0.80229656623594) Per client wps rank: ==================== 1: '-b rtavg -H' (1) 2: '-b rand' (0.977356849770376) 3: '-b rand -R' (0.976222085591368) 4: '-b rtavg' (0.888825068013012) 5: '-b rtavg -R' (0.875653417817828) 6: '-b rtavg -R -H' (0.726389466714194) Per client weighted wps rank: ============================= 1: '-b rand' (1) 2: '-b rand -R' (0.996866139192282) 3: '-b rtavg -H' (0.986348733324348) 4: '-b rtavg' (0.811593544774355) 5: '-b rtavg -R' (0.805704548552663) 6: '-b rtavg -R -H' (0.671567075453688) Combined wps rank: ================== 1: '-b rtavg' (1) 2: '-b rtavg -R' (0.989191465637926) 3: '-b rtavg -H' (0.972251783752137) 4: '-b rtavg -R -H' (0.949708930404222) 5: '-b rand' (0.914594701126905) 6: '-b rand -R' (0.914312395840401) Combined weighted wps rank: =========================== 1: '-b rtavg' (1) 2: '-b rtavg -R' (0.995945739226824) 3: '-b rtavg -H' (0.984347862855008) 4: '-b rtavg -R -H' (0.956920992185625) 5: '-b rand' (0.899001713089319) 6: '-b rand -R' (0.896984246540919) Balancer is '-b rtavg'. Idleness tolerance is 2%. Profiling 'media_load_balance_hd12.wsim'... 2s is 992 workloads. (error=0.00150000000000006) Saturation at 6 clients (1434.207 workloads/s). Pass [ 0: 0.57%, 2: 22.59%, 3: 23.30%, ] Profiling 'media_load_balance_fhd26u7.wsim'... 2s is 52 workloads. (error=0.001) Saturation at 6 clients (61.823 workloads/s). WARN [ 0: 7.77%, 2: 0.66%, 3: 28.70%, ] Problematic workloads were: media_load_balance_fhd26u7.wsim -c 6 -r 52 [ 0: 7.77%, 2: 0.66%, 3: 28.70%, ] -8<--- Signed-off-by: Tvrtko Ursulin <tvrtko.ursulin@intel.com>
Diffstat (limited to 'scripts/Makefile.am')
-rw-r--r--scripts/Makefile.am2
1 files changed, 1 insertions, 1 deletions
diff --git a/scripts/Makefile.am b/scripts/Makefile.am
index 64171529..e26a39e2 100644
--- a/scripts/Makefile.am
+++ b/scripts/Makefile.am
@@ -1,2 +1,2 @@
-dist_noinst_SCRIPTS = intel-gfx-trybot who.sh run-tests.sh trace.pl
+dist_noinst_SCRIPTS = intel-gfx-trybot who.sh run-tests.sh trace.pl media-bench.pl
noinst_PYTHON = throttle.py