This is a sniper sim based simulator for Toleo (ASPLOS'25) Please refer to our paper "Toleo: Scaling Freshness to Tera-scale Memory Using CXL and PIM" for details.
Running evaluation for Toleo requires:
- Install DRAMSim3 from this fork.
- Install simulator sniper-toleo. (this repo)
- setup benchmarks with PIN hooks. Forks with PIN hooks can be found in this list
- Download simulation script
run_toleo_sim.pyfor automated simulation on given benchmarks.
toleo_root
├── run_toleo_sim.py
├── DRAMsim3
├── sniper-toleo
│ ├── DRAMsim3 -> ../DRAMsim3 (link)
│ ├── run-sniper
│ └── README.md (this file)
├── genomicsbench
│ ├── input-datasets
│ │ ├── bsw
│ │ ├── chain
│ │ ...
│ └── benchmarks
│ ├── fmi
│ │ └── sim-<date-time>/<region>/sim.out
│ ├── bsw-s
│ ...
├── gabps
│ └── run
│ ├── pr-kron-s
│ │ └── sim-<date-time>/<region>/sim.out
│ ├── sssp
│ ....
├── redis
├── memtier_benchmark
├── memcached
├── hyrise
└── llama2.c
Make TOLEO_ROOT directory
mkdir toleo_root
cd toleo_root
git clone https://github.com/joydddd/DRAMsim3
cd DRAMsim3
Please follow the README from this fork to build DRAMsim3. THERMAL is not required for toleo simulation. Run DRAMsim3 test to make sure it is successfully installed:
./build/dramsim3main configs/DDR4_8Gb_x8_3200.ini -c 100000 -t tests/example.trace
cat dramsim3.json
- A DRAMsim3 installation from this fork, and link to sniper-toleo repo.
## in folder toleo_root.
git clone git@github.com:joydddd/sniper-toleo.git # clone sniper-toleo (this repo)
cd sniper-toleo
ln -s ../DRAMsim3 DRAMsim3
cd sniper-toleo/docker
make # build docker image
make run # run docker as user
# make run-root # runs docker as root.
cd ..
Now you're in the docker container. Continue to build sniper-toloe following the steps below. You could skip the dependent package installation.
Please follow the naive install instructions on Sniper Sim Getting Started Page to install sniper-toleo. Necessary steps are provided below
- Install dependent packages.
sudo dpkg --add-architecture i386
sudo apt-get install binutils build-essential curl git libboost-dev libbz2-dev libc6:i386 libncurses5:i386 libsqlite3-dev libstdc++6:i386 python wget zlib1g-dev
Note
Know issue: snipersim assum python2 as the default python version. Make sure your python command points to python2.7.
- build simulator with PIN
make USE_PIN=1 -j N #where N is the number of cores in your machine to use parallel make
cd test/fft
make
This command runs sniper-toleo simulation for three setups: Toleo, C+I, and no-protections. Simulation results can be found in folders test/fft/no_protection_output test/fft/ci_output test/fft/toleo_output respectively.
Now you've successfully setup sniper-toleo and is ready to simluate toleo for any benchmark of your choice! run the simulation with
./run-sniper -n 32 -c <arch> -d <output-dir> -- <run benchmakr cmd>
# <arch> = zen4_cxl: baseline no protection,
# zen4_vn: toleo
# zen4_no_freshness: CI
# zen4_cxl_invisimem: InvisiMem (Please use invisimem branch of sniper-toleo for this architecture!)
# zen4_no_dramsim: light weighted Toleo without DRAMSim3. Used for Toleo page type analysis.
More controls over the simulation are available via ./run-sniper --help.
Note
Our simulator is configured for 32 cores. Please setup your benchmark to run with 32 threads for best experience. Benchmarks with >32 threads might run into deadlock problems.
In this section, we provided instructions on how to setup the benchmark suites used in our evaluation and our instrumentation setup. In particular, we manually insert PIN hooks around the region of interest in the source code of our benchmarks, and fast forward some number of instructions, and then simulate in detailed mode for 100m or 1b instructions. In this list we provide forks of the benchmark sets with the PIN_HOOK inserted.
More benchmark setup instruction
Here we provide detailed instructions for setting up genomicsbench. Please follow this fork to clone the source code for Genomics Bench.
# PWD = toleo_root
git clone --recursive git@github.com:joydddd/Genomebench.git genomicsbench
cd genomicsbench
follow instructions in GenomicsBench to download the dataset, install dependencies and compile for cpu benchmark.
wget https://genomicsbench.eecs.umich.edu/input-datasets.tar.gz
tar -zxf input-datasets.tar.gz
sudo apt-get install $(cat debian.prerequisites)
make -j12
In this section we provide instructions on how to use our batch run script to test the benchmark setups, test the instrumentation setups, and finally run simluations in batches.
Running all the simulations on one machine of >32 cores takes ~20 days. We highly recommend you start with our toy bench suite sim_test for quick evaluation. (bsw-s from genomicsbench and pr-kron-s from gapbs, see benchmark setup instruction)
- A working installation of sniper-toleo that run
test/fftsuccessfully. - Benchmarks that are cloned and built following [benchmark setup instruction]
We provide a batch run script that includes instrumentation details of our selected benchmark suite.
Download batch run script run_toleo_sim.py
# in toleo_root
wget https://github.com/joydddd/VNserver_spec/raw/main/run_toleo_sim.py
chmod +x run_toleo_sim.py
./run_toleo_sim.py --help
Run run_toleo_sim.py --help to learn how to use the script. ./run_toleo_sim.py print-bench to print all benchmarks supported by this script.
First, we want to run the benchmarks natively to make sure they are setup properly.
Take genomicsbench as an exmaple:
./run_toleo_sim.py native --bench genomicsbench # runs all tests in genomicsbench
./run_toleo_sim.py native --bench bsw-s # runs only bsw-s
The benchmark prints PIN_START and PIN_END in the terminal when it enters and leaves the region of interest (ROI). This indicates that PIN_HOOKs are properly inserted and our instrumentation tool can detect when the benchmark enters ROI.
It also reports basic information about the benchmark, e.g. CPU time, peak RSS size, Page Faults etc.
Example output for bsw-s native run
toleo_root$ ./run_toleo_sim.py native --bench bsw-s
******************* Running native bsw-s************************
/usr/bin/time -v ./bsw -pairs ../../input-datasets/bsw/small/bandedSWA_SRR7733443_100k_input.txt -t 32 -b 512 2>&1 | tee /home/joydong/toleo/genomicsbench/benchmarks/bsw-s/native-run/sniper.out
PIN START
PIN END
Number of input pairs: 100000
Allocating 0.221 GB memory for input buffers...
4] workTicks = 51504554
29] workTicks = 53017524
23] workTicks = 56130408
16] workTicks = 53817462
30] workTicks = 52364988
17] workTicks = 56771468
12] workTicks = 52361226
26] workTicks = 54032656
18] workTicks = 55996382
6] workTicks = 54965176
8] workTicks = 53517756
7] workTicks = 55016286
21] workTicks = 57274246
19] workTicks = 52326987
5] workTicks = 51139868
9] workTicks = 60749688
24] workTicks = 50829902
1] workTicks = 51238592
3] workTicks = 54227330
11] workTicks = 52844928
27] workTicks = 51141502
15] workTicks = 52152112
31] workTicks = 55819150
25] workTicks = 52839380
13] workTicks = 54880854
2] workTicks = 52383152
20] workTicks = 54900462
10] workTicks = 54577728
22] workTicks = 54673222
28] workTicks = 60828196
14] workTicks = 51987192
0] workTicks = 51599402
Executed AVX2 vector code...
Processor freq: 3801.83 MHz
Read time = 0.07 s
Overall SW cycles = 63471058, 0.02 s
Total Pairs processed: 100000
avgTicks = 53997180.593750, maxTicks = 60828196, load imbalance = 1.126507
Command being timed: "./bsw -pairs ../../input-datasets/bsw/small/bandedSWA_SRR7733443_100k_input.txt -t 32 -b 512"
User time (seconds): 0.59
System time (seconds): 0.12
Percent of CPU this job got: 64%
Elapsed (wall clock) time (h:mm:ss or m:ss): 0:01.12
Average shared text size (kbytes): 0
Average unshared data size (kbytes): 0
Average stack size (kbytes): 0
Average total size (kbytes): 0
Maximum resident set size (kbytes): 251032
Average resident set size (kbytes): 0
Major (requiring I/O) page faults: 0
Minor (reclaiming a frame) page faults: 64055
Voluntary context switches: 537
Involuntary context switches: 78
Swaps: 0
File system inputs: 32
File system outputs: 0
Socket messages sent: 0
Socket messages received: 0
Signals delivered: 0
Page size (bytes): 4096
Exit status: 0
Arch: zen4_cxl
We then test if the benchmarks are properly instrumented by pinplay tools.
TODO: Add instructions for installing Intel SDE tools.
./run_toleo_sim.py region --bench bsw-s # run bsw-s benchmark
The program will print how many instructions are executed at warmup start, sim start, and sim end in the terminal. More control information can be found in folder <path_to_benchmark>/region.
Now that we have verified our benchmarks are running properly natively and with pinplay tools, we can simulate them with the sniper-toleo simluation on different arhictectural configurations. In particular, we provide configurations to simulation our 4 evaluation setups (no-protection, CI, toleo & invisimem) and generate performance metrics (runtime, cache hit rates, memory latency, and memory bandwidth utilization etc. ). We also provide a light-weighted no_dramsim configuration to run long simulations and generate Trip format stats.
Each Simluation takes hours - days, therefore we suggest starting with the sim_test suite (bsw-s from genomicsbench, and pr-kron-s from gapbs. Both should simulate in less than 30 minutes).
No protection. baseline of performance overheads
Simulate no memory protection
./run_toleo_sim.py sniper --bench bsw-s --arch zen4_cxl -a
Toleo
Simulate Toleo
./run_toleo_sim.py sniper --bench bsw-s --arch zen4_vn -a
CI
Simulate memory with confidentiality and integrity protection and no freshness protection. (CI)
./run_toleo_sim.py sniper --bench bsw-s --arch zen4_no_freshness -a
Tip
You can batch run many benchmarks on multiple architectural configurations.
./run_toleo_sim.py sniper --bench bsw-s pr-kron-s --arch zen4_vn zen4_cxl zen4_no_freshness -a
InvisiMem
Note
Use sniper-toleo from branch invisimem to run invisiMem baseline.
cd sniper-toleo
git checkout invisimem
make USE_PIN=1
cd ..
toleo_sim.py sniper --bench bsw-s --arch zen4_cxl_invisimem -a
NoDramsim This is a light weighted configuration for running long simulations of the Trip format. This configuration runs without DRAMsim3 simulator and doesn't generate accurate performance metrics. However, its Trip format stats are accurate.
./run_toleo_sim.py sniper --bench bsw-s --arch zen4_no_dramsim -a
Simulation results can be found in each benchmark binary location, under a fold named sim-<date:time>-<arch>/<region>. For example, toleo_root/genomicsbench/bsw-s/sim-2024-06-05_04:51:28-zen4_vn/r2-t32 is the result path for bsw-s simulation. In this output directory, you'll find performance stats in sim.out and Trip format stats in dram_trace_analysis.csv.
dram_trace_analysis.csv contains information about how many pages the program accessed and in what format it is stored on Toleo. Toleo usage can thus be calcualted from this csv form.
icount page-touched page-readonly page-one-write page-flat page-uneven page-full
44530000127 39305 34741 4408 0 1 0
44850000180 191858 332 60759 68 130699 0
45171000105 251162 447 118536 163 132016 0
...
sim.out should look like this, where runtime, cpi, memory utilization etc. are reported.
| Core 0 | Core 1 | Core 2 | Core 3 | Core 4 | Core 5 | Core 6 | Core 7 | Core 8 | Core 9 | Core 10 | Core 11 | Core 12 | Core 13 | Core 14 | Core 15 | Core 16 | Core 17 | Core 18 | Core 19 | Core 20 | Core 21 | Core 22 | Core 23 | Core 24 | Core 25 | Core 26 | Core 27 | Core 28 | Core 29 | Core 30 | Core 31
Instructions | 109266686 | 108849656 | 92564201 | 99072226 | 103035533 | 107353037 | 85906176 | 103790533 | 98014786 | 99456484 | 115422069 | 96762534 | 83362768 | 88163988 | 101808633 | 96233594 | 110709183 | 102766956 | 98685011 | 91283689 | 103053788 | 108931426 | 103265275 | 95872132 | 87286372 | 94015000 | 95230511 | 103867843 | 113258292 | 98421677 | 102472843 | 101745615
Cycles | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980 | 61332980
IPC | 1.78 | 1.77 | 1.51 | 1.62 | 1.68 | 1.75 | 1.40 | 1.69 | 1.60 | 1.62 | 1.88 | 1.58 | 1.36 | 1.44 | 1.66 | 1.57 | 1.81 | 1.68 | 1.61 | 1.49 | 1.68 | 1.78 | 1.68 | 1.56 | 1.42 | 1.53 | 1.55 | 1.69 | 1.85 | 1.60 | 1.67 | 1.66
Time (ns) | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103 | 27259103
Idle time (ns) | 52811 | 54565 | 67964 | 57233 | 53431 | 59237 | 102098 | 52499 | 102181 | 101712 | 99856 | 101095 | 103235 | 97330 | 101672 | 97657 | 80764 | 82569 | 96886 | 84574 | 82246 | 88764 | 78245 | 83921 | 79705 | 77935 | 84552 | 73045 | 81067 | 76557 | 77169 | 79684
Idle time (%) | 0.2% | 0.2% | 0.2% | 0.2% | 0.2% | 0.2% | 0.4% | 0.2% | 0.4% | 0.4% | 0.4% | 0.4% | 0.4% | 0.4% | 0.4% | 0.4% | 0.3% | 0.3% | 0.4% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3% | 0.3%
Branch predictor stats | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num correct | 13938385 | 13885263 | 12310485 | 12556080 | 13136702 | 14716822 | 11202135 | 13605526 | 13200398 | 13439327 | 16132631 | 12604782 | 10923674 | 11361680 | 13709881 | 12869228 | 14140934 | 13111333 | 13168336 | 12057347 | 13388859 | 13918960 | 13195975 | 12518140 | 11435684 | 12410725 | 12381455 | 13265084 | 15843643 | 12796319 | 13073974 | 13002156
num incorrect | 240298 | 228235 | 513204 | 340367 | 273712 | 485060 | 537003 | 324249 | 490061 | 500099 | 393429 | 409690 | 530739 | 577473 | 522709 | 491114 | 244013 | 254945 | 519113 | 459945 | 296244 | 249436 | 275508 | 497439 | 514754 | 486459 | 476991 | 261250 | 450886 | 382152 | 271342 | 269344
misprediction rate | 1.69% | 1.62% | 4.00% | 2.64% | 2.04% | 3.19% | 4.57% | 2.33% | 3.58% | 3.59% | 2.38% | 3.15% | 4.63% | 4.84% | 3.67% | 3.68% | 1.70% | 1.91% | 3.79% | 3.67% | 2.16% | 1.76% | 2.05% | 3.82% | 4.31% | 3.77% | 3.71% | 1.93% | 2.77% | 2.90% | 2.03% | 2.03%
mpki | 2.20 | 2.10 | 5.54 | 3.44 | 2.66 | 4.52 | 6.25 | 3.12 | 5.00 | 5.03 | 3.41 | 4.23 | 6.37 | 6.55 | 5.13 | 5.10 | 2.20 | 2.48 | 5.26 | 5.04 | 2.87 | 2.29 | 2.67 | 5.19 | 5.90 | 5.17 | 5.01 | 2.52 | 3.98 | 3.88 | 2.65 | 2.65
TLB Summary | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
I-TLB | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num accesses | 12929550 | 12813273 | 11827229 | 11809516 | 12234895 | 13619542 | 11129511 | 12556181 | 12452989 | 12592471 | 14412243 | 12016918 | 10861293 | 11478933 | 12931143 | 12304336 | 13141893 | 12219703 | 12590351 | 11499298 | 12420782 | 12933125 | 12319481 | 12363281 | 11104030 | 11983967 | 12182019 | 12370495 | 14325967 | 12122601 | 12158589 | 12149599
num misses | 38 | 37 | 38 | 37 | 37 | 38 | 38 | 37 | 38 | 38 | 38 | 82 | 82 | 38 | 38 | 38 | 38 | 37 | 38 | 82 | 82 | 37 | 37 | 38 | 82 | 82 | 38 | 38 | 38 | 82 | 37 | 37
miss rate | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00%
mpki | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
D-TLB | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num accesses | 37394002 | 37620212 | 30744226 | 32357108 | 34750341 | 38184092 | 26156606 | 35721889 | 33456694 | 34060114 | 42777123 | 30206566 | 23475952 | 25644353 | 34281850 | 32549247 | 37897365 | 35077436 | 33259000 | 29078759 | 34288843 | 37135321 | 34942682 | 32968116 | 26517760 | 30008987 | 32975733 | 35231240 | 40629279 | 31294821 | 34745322 | 34569558
num misses | 1631986 | 1723248 | 70898 | 1093966 | 1472525 | 277796 | 2140 | 1038344 | 27475 | 155851 | 925841 | 736131 | 11329 | 2305 | 70401 | 109403 | 1640794 | 1251962 | 36429 | 231831 | 1258763 | 1682752 | 1380278 | 1614 | 45037 | 231063 | 1146 | 1552065 | 663337 | 821023 | 1394027 | 1082809
miss rate | 4.36% | 4.58% | 0.23% | 3.38% | 4.24% | 0.73% | 0.01% | 2.91% | 0.08% | 0.46% | 2.16% | 2.44% | 0.05% | 0.01% | 0.21% | 0.34% | 4.33% | 3.57% | 0.11% | 0.80% | 3.67% | 4.53% | 3.95% | 0.00% | 0.17% | 0.77% | 0.00% | 4.41% | 1.63% | 2.62% | 4.01% | 3.13%
mpki | 14.94 | 15.83 | 0.77 | 11.04 | 14.29 | 2.59 | 0.02 | 10.00 | 0.28 | 1.57 | 8.02 | 7.61 | 0.14 | 0.03 | 0.69 | 1.14 | 14.82 | 12.18 | 0.37 | 2.54 | 12.21 | 15.45 | 13.37 | 0.02 | 0.52 | 2.46 | 0.01 | 14.94 | 5.86 | 8.34 | 13.60 | 10.64
L2 TLB | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num accesses | 1631962 | 1723241 | 70936 | 1093934 | 1472456 | 277834 | 2178 | 1038381 | 27513 | 155889 | 925879 | 736213 | 11411 | 2343 | 70439 | 109441 | 1640769 | 1251918 | 36467 | 231856 | 1258775 | 1682789 | 1380268 | 1652 | 45024 | 231084 | 1184 | 1552059 | 663338 | 821073 | 1394029 | 1082822
num misses | 271812 | 244301 | 495 | 112361 | 161281 | 489 | 458 | 61709 | 457 | 559 | 164307 | 71369 | 2091 | 435 | 601 | 547 | 227015 | 91658 | 711 | 36974 | 143123 | 309246 | 54463 | 249 | 5261 | 24157 | 135 | 269741 | 1635 | 97392 | 131397 | 26803
miss rate | 16.66% | 14.18% | 0.70% | 10.27% | 10.95% | 0.18% | 21.03% | 5.94% | 1.66% | 0.36% | 17.75% | 9.69% | 18.32% | 18.57% | 0.85% | 0.50% | 13.84% | 7.32% | 1.95% | 15.95% | 11.37% | 18.38% | 3.95% | 15.07% | 11.68% | 10.45% | 11.40% | 17.38% | 0.25% | 11.86% | 9.43% | 2.48%
mpki | 2.49 | 2.24 | 0.01 | 1.13 | 1.57 | 0.00 | 0.01 | 0.59 | 0.00 | 0.01 | 1.42 | 0.74 | 0.03 | 0.00 | 0.01 | 0.01 | 2.05 | 0.89 | 0.01 | 0.41 | 1.39 | 2.84 | 0.53 | 0.00 | 0.06 | 0.26 | 0.00 | 2.60 | 0.01 | 0.99 | 1.28 | 0.26
Cache Summary | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Cache L1-I | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num cache accesses | 12929550 | 12813273 | 11827229 | 11809516 | 12234895 | 13619542 | 11129511 | 12556181 | 12452989 | 12592471 | 14412243 | 12016918 | 10861293 | 11478933 | 12931143 | 12304336 | 13141893 | 12219703 | 12590351 | 11499298 | 12420782 | 12933125 | 12319481 | 12363281 | 11104030 | 11983967 | 12182019 | 12370495 | 14325967 | 12122601 | 12158589 | 12149599
num cache misses | 2123 | 1907 | 1847 | 2763 | 2276 | 1843 | 1563 | 2340 | 1938 | 2189 | 2130 | 3405 | 2497 | 1689 | 2260 | 1942 | 2027 | 2423 | 2141 | 3746 | 3905 | 2307 | 2462 | 1187 | 2914 | 3342 | 995 | 2111 | 2429 | 3069 | 2371 | 2812
miss rate | 0.02% | 0.01% | 0.02% | 0.02% | 0.02% | 0.01% | 0.01% | 0.02% | 0.02% | 0.02% | 0.01% | 0.03% | 0.02% | 0.01% | 0.02% | 0.02% | 0.02% | 0.02% | 0.02% | 0.03% | 0.03% | 0.02% | 0.02% | 0.01% | 0.03% | 0.03% | 0.01% | 0.02% | 0.02% | 0.03% | 0.02% | 0.02%
mpki | 0.02 | 0.02 | 0.02 | 0.03 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.04 | 0.03 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.04 | 0.04 | 0.02 | 0.02 | 0.01 | 0.03 | 0.04 | 0.01 | 0.02 | 0.02 | 0.03 | 0.02 | 0.03
Cache L1-D | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num cache accesses | 37393197 | 37619718 | 30743138 | 32356417 | 34749382 | 38183593 | 26156606 | 35721277 | 33456694 | 34060114 | 42777123 | 30206566 | 23475952 | 25643499 | 34281850 | 32548146 | 37896398 | 35076384 | 33258319 | 29078084 | 34288033 | 37134478 | 34941793 | 32967601 | 26516742 | 30008275 | 32975009 | 35230167 | 40627864 | 31294047 | 34744420 | 34568830
num cache misses | 633901 | 722423 | 216493 | 296050 | 469723 | 183216 | 246158 | 223686 | 203261 | 210112 | 168266 | 346257 | 285295 | 265052 | 229246 | 220276 | 680291 | 218466 | 254598 | 391743 | 474390 | 737576 | 225254 | 223937 | 307705 | 339105 | 208148 | 568510 | 192828 | 345634 | 268675 | 189972
miss rate | 1.70% | 1.92% | 0.70% | 0.91% | 1.35% | 0.48% | 0.94% | 0.63% | 0.61% | 0.62% | 0.39% | 1.15% | 1.22% | 1.03% | 0.67% | 0.68% | 1.80% | 0.62% | 0.77% | 1.35% | 1.38% | 1.99% | 0.64% | 0.68% | 1.16% | 1.13% | 0.63% | 1.61% | 0.47% | 1.10% | 0.77% | 0.55%
mpki | 5.80 | 6.64 | 2.34 | 2.99 | 4.56 | 1.71 | 2.87 | 2.16 | 2.07 | 2.11 | 1.46 | 3.58 | 3.42 | 3.01 | 2.25 | 2.29 | 6.14 | 2.13 | 2.58 | 4.29 | 4.60 | 6.77 | 2.18 | 2.34 | 3.53 | 3.61 | 2.19 | 5.47 | 1.70 | 3.51 | 2.62 | 1.87
Cache L2 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num cache accesses | 676536 | 771922 | 219237 | 333514 | 514522 | 185340 | 248900 | 259226 | 205858 | 213189 | 177023 | 373465 | 294822 | 267023 | 231755 | 223073 | 720259 | 268379 | 256973 | 407475 | 518550 | 778077 | 273816 | 225556 | 318615 | 354176 | 210053 | 611377 | 195618 | 379480 | 318930 | 244182
num cache misses | 78619 | 89631 | 43201 | 92672 | 90202 | 27327 | 41190 | 81153 | 39703 | 44513 | 36220 | 90353 | 59431 | 27680 | 36146 | 44165 | 80310 | 101862 | 47605 | 101536 | 136137 | 82152 | 96789 | 21538 | 72673 | 69269 | 25719 | 88233 | 44581 | 87383 | 97297 | 107508
miss rate | 11.62% | 11.61% | 19.71% | 27.79% | 17.53% | 14.74% | 16.55% | 31.31% | 19.29% | 20.88% | 20.46% | 24.19% | 20.16% | 10.37% | 15.60% | 19.80% | 11.15% | 37.95% | 18.53% | 24.92% | 26.25% | 10.56% | 35.35% | 9.55% | 22.81% | 19.56% | 12.24% | 14.43% | 22.79% | 23.03% | 30.51% | 44.03%
mpki | 0.72 | 0.82 | 0.47 | 0.94 | 0.88 | 0.25 | 0.48 | 0.78 | 0.41 | 0.45 | 0.31 | 0.93 | 0.71 | 0.31 | 0.36 | 0.46 | 0.73 | 0.99 | 0.48 | 1.11 | 1.32 | 0.75 | 0.94 | 0.22 | 0.83 | 0.74 | 0.27 | 0.85 | 0.39 | 0.89 | 0.95 | 1.06
Cache L3 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num cache accesses | 120894 | 138402 | 49232 | 129889 | 134560 | 28399 | 47175 | 117110 | 43443 | 48648 | 43068 | 116045 | 71641 | 28939 | 36796 | 49518 | 118653 | 150838 | 52677 | 119589 | 178102 | 121142 | 144974 | 23127 | 86046 | 82556 | 31380 | 132027 | 48008 | 119392 | 146308 | 161055
num cache misses | 72328 | 84828 | 42202 | 86818 | 85312 | 26430 | 40546 | 76181 | 38405 | 43138 | 34579 | 80392 | 53253 | 26087 | 34237 | 43236 | 75323 | 93849 | 44457 | 90819 | 119489 | 74663 | 90903 | 21235 | 66887 | 62892 | 25370 | 81933 | 43269 | 77352 | 92118 | 99281
miss rate | 59.83% | 61.29% | 85.72% | 66.84% | 63.40% | 93.07% | 85.95% | 65.05% | 88.40% | 88.67% | 80.29% | 69.28% | 74.33% | 90.14% | 93.05% | 87.31% | 63.48% | 62.22% | 84.40% | 75.94% | 67.09% | 61.63% | 62.70% | 91.82% | 77.73% | 76.18% | 80.85% | 62.06% | 90.13% | 64.79% | 62.96% | 61.64%
mpki | 0.66 | 0.78 | 0.46 | 0.88 | 0.83 | 0.25 | 0.47 | 0.73 | 0.39 | 0.43 | 0.30 | 0.83 | 0.64 | 0.30 | 0.34 | 0.45 | 0.68 | 0.91 | 0.45 | 0.99 | 1.16 | 0.69 | 0.88 | 0.22 | 0.77 | 0.67 | 0.27 | 0.79 | 0.38 | 0.79 | 0.90 | 0.98
Page Tabel summary | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num pages [cxl, dram] | 5647 | 33524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
usage (GB) [cxl, dram] | 0.0215 | 0.1279 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000
DRAM effective Access | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num data reads | 1733408 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
num data writes | 1035260 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
num mac accesses | 1534569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
average data read latency | 157.93 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
average data bandwidth (GB/s) | 6.50 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
DRAM latency breakdown | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
data fetch | 133.67 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
mac fetch | 11.76 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
decrypt | 12.50 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
DRAM summary | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num dram accesses | 4303236 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
average dram access latency (ns) | 148.25 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
average dram read latency (ns) | 140.32 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
average dram backpressure delay | 23.12 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
average dram queue utilization | 14.97% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00%
average dram bandwidth (GB/s) | 10.10 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
CXL effective Access | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num data reads | 292253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
avg read latency | 228.36 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
num data writes | 172552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
num mac accesses | 112580 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
data bandwidth (GB/s) | 1.09 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
CXL summary | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num cxl accesses | 577385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
average cxl access latency (ns) | 210.83 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
average cxl queueing delay | 66.09 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
average cxl bandwidth utilization | 10.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00%
average cxl bandwidth (GB/s) | 1.36 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
CXL DRAM summary | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num cxl dram accesses | 577385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
average dram access latency(CXL expander) (ns) | 44.70 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
average cxl dram backpressure delay | 0.13 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
average cxl dram bandwidth utilization | 1.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00%
average cxl dram bandwidth (GB/s) | 1.36 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00
MEE summary | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num mee crypto | 2768668 | 464804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
average mee crypto latency (ns) | 12.50 | 12.50 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
average mee crypto queue latency (ns) | 0.00 | 0.00 | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf | inf
average mee bandwidth utilization | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00%
MEE MAC Cache | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num mac access | 2768668 | 464804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
num mac misses | 933952 | 80410 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
mac cache miss rate | 33.73% | 17.30% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf% | inf%
MEE VN Table | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num vn access | 1733408 | 292253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Coherency Traffic | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
num loads from dram | 48029 | 56962 | 9657 | 45079 | 51623 | 3839 | 9758 | 41414 | 7253 | 8680 | 10862 | 31248 | 17788 | 2726 | 3128 | 8829 | 45979 | 56229 | 4674 | 23228 | 48864 | 46643 | 55191 | 3834 | 19339 | 18238 | 9665 | 52961 | 8194 | 39374 | 55515 | 62472
num loads from dram cache | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
num loads from remote cache | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 62 | 2 | 0 | 0 | 0 | 0 | 0 | 0