Core benchmark: vanderpol

This page presents benchmark results for the vanderpol problem across different platforms and configurations.

Note

The linear solver is MUMPS for all experiments.

Ubuntu Latest CPU

This benchmark suite evaluates optimal control problems on a standard CPU platform using GitHub Actions runners.

⚙️ Configuration

  • Problems: beam, chain, double_oscillator, electric_vehicle, glider, insurance, jackson, robbins, robot, rocket, space_shuttle, steering, vanderpol

  • Solvers: ipopt, madnlp

  • Models: adnlp, exa, jump

  • Grid sizes: 200, 500, 1000, 2000 discretization points

  • Discretization: trapeze method

  • Tolerance: 1.0e-8

  • Ipopt strategy: adaptive barrier parameter

  • Limits: 1000 iterations max, 500.0s wall time

🖥️ Environment

📅 Timestamp     : 2025-11-17 15:16:44 UTC
🔧 Julia version : 1.11.7
💻 OS            : Linux
🖥️ Machine       : runnervmg1sw1

You can download the exact environment used for this benchmark:

These files allow you to reproduce the benchmark environment and results exactly.

Julia Version 1.11.7
Commit f2b3dbda30a (2025-09-08 12:10 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 4 × AMD EPYC 7763 64-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, znver3)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)
Environment:
  JULIA_PKG_SERVER_REGISTRY_PREFERENCE = eager
Project CTBenchmarks v0.2.3
Status `~/work/CTBenchmarks.jl/CTBenchmarks.jl/Project.toml`
  [6e4b80f9] BenchmarkTools v1.6.3
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  [6462fe0b] Sockets v1.11.0
Info Packages marked with  have new versions available and may be upgradable.
Project CTBenchmarks v0.2.3
Status `~/work/CTBenchmarks.jl/CTBenchmarks.jl/Manifest.toml`
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Info Packages marked with  and  have new versions available. Those with  may be upgradable, but those with  are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

📈 Time vs Grid Size (Ubuntu Latest CPU)

🔁 Iterations vs CPU time (Ubuntu Latest CPU)

🧭 Solution: N = 200 (Ubuntu Latest CPU)

🧭 Solution: N = 500 (Ubuntu Latest CPU)

🧭 Solution: N = 1000 (Ubuntu Latest CPU)

🧭 Solution: N = 2000 (Ubuntu Latest CPU)

📊 Table of Results (Ubuntu Latest CPU)

Problem: vanderpol

SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
200adnlpipopt6.87731.047836min
200adnlpmadnlp6.05531.047836min
200exaipopt3.73531.047836min
200examadnlp3.16331.047836min
200jumpipopt4.74931.047836min
200jumpmadnlp6.05131.047836min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
500adnlpipopt14.17731.047812min
500adnlpmadnlp13.32131.047812min
500exaipopt7.57131.047812min
500examadnlp6.78331.047812min
500jumpipopt10.18531.047812min
500jumpmadnlp14.04931.047812min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
1000adnlpipopt29.82431.047808min
1000adnlpmadnlp29.92531.047808min
1000exaipopt14.12431.047808min
1000examadnlp12.75131.047808min
1000jumpipopt18.73731.047808min
1000jumpmadnlp28.83731.047808min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
2000adnlpipopt67.20231.047807min
2000adnlpmadnlp85.12931.047807min
2000exaipopt27.45931.047807min
2000examadnlp48.81131.047807min
2000jumpipopt37.59831.047807min
2000jumpmadnlp77.54531.047807min
Benchmarks results:

┌─ Problem: vanderpol
│
├──┬ Solver: ipopt, Discretization: trapeze
│  │
│  │  N = 200
│  │  ✓ | jump     | time:   4.749 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:   8.02 KiB
│  │  ✓ | adnlp    | time:   6.877 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU: 955.22 KiB
│  │  ✓ | exa      | time:   3.735 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:  53.44 KiB
│  │
│  │  N = 500
│  │  ✓ | jump     | time:  10.185 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:   8.23 KiB
│  │  ✓ | adnlp    | time:  14.177 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:   2.30 MiB
│  │  ✓ | exa      | time:   7.571 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU: 102.50 KiB
│  │
│  │  N = 1000
│  │  ✓ | jump     | time:  18.737 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   8.23 KiB
│  │  ✓ | adnlp    | time:  29.824 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   4.58 MiB
│  │  ✓ | exa      | time:  14.124 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU: 184.69 KiB
│  │
│  │  N = 2000
│  │  ✓ | jump     | time:  37.598 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:   8.23 KiB
│  │  ✓ | adnlp    | time:  67.202 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:   9.13 MiB
│  │  ✓ | exa      | time:  27.459 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU: 348.75 KiB
│  └─
│
├──┬ Solver: madnlp, Discretization: trapeze
│  │
│  │  N = 200
│  │  ✓ | jump     | time:   6.051 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:   4.55 MiB
│  │  ✓ | adnlp    | time:   6.055 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:   2.02 MiB
│  │  ✓ | exa      | time:   3.163 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:   1.65 MiB
│  │
│  │  N = 500
│  │  ✓ | jump     | time:  14.049 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:  10.52 MiB
│  │  ✓ | adnlp    | time:  13.321 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:   4.40 MiB
│  │  ✓ | exa      | time:   6.783 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:   3.47 MiB
│  │
│  │  N = 1000
│  │  ✓ | jump     | time:  28.837 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:  21.94 MiB
│  │  ✓ | adnlp    | time:  29.925 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   8.38 MiB
│  │  ✓ | exa      | time:  12.751 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   6.51 MiB
│  │
│  │  N = 2000
│  │  ✓ | jump     | time:  77.545 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  43.07 MiB
│  │  ✓ | adnlp    | time:  85.129 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  16.34 MiB
│  │  ✓ | exa      | time:  48.811 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  12.59 MiB
│  └─
└─

Moonshot CPU

Results on self-hosted CPU hardware.

⚙️ Configuration

  • Problems: beam, chain, double_oscillator, electric_vehicle, glider, insurance, jackson, robbins, robot, rocket, space_shuttle, steering, vanderpol

  • Solvers: ipopt, madnlp

  • Models: adnlp, exa, jump

  • Grid sizes: 200, 500, 1000, 2000, 5000 discretization points

  • Discretization: trapeze method

  • Tolerance: 1.0e-8

  • Ipopt strategy: adaptive barrier parameter

  • Limits: 1000 iterations max, 400.0s wall time

🖥️ Environment

📅 Timestamp     : 2025-11-17 19:47:37 UTC
🔧 Julia version : 1.11.7
💻 OS            : Linux
🖥️ Machine       : moonshot

You can download the exact environment used for this benchmark:

These files allow you to reproduce the benchmark environment and results exactly.

Julia Version 1.11.7
Commit f2b3dbda30a (2025-09-08 12:10 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 144 × Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, skylake-avx512)
Threads: 16 default, 0 interactive, 8 GC (on 144 virtual cores)
Environment:
  JULIA_PKG_SERVER_REGISTRY_PREFERENCE = eager
  JULIA_DEPOT_PATH = /scratch/github-actions/julia_depot
  LD_LIBRARY_PATH = /home/mschanen/local/lib:/home/mschanen/local/lib:
  JULIA_NUM_THREADS = 16
Project CTBenchmarks v0.2.3
Status `/scratch/github-actions/actions_runner_control_toolbox/_work/CTBenchmarks.jl/CTBenchmarks.jl/Project.toml`
  [6e4b80f9] BenchmarkTools v1.6.3
 [54762871] CTBase v0.16.2
  [052768ef] CUDA v5.9.4
  [a93c6f00] DataFrames v1.8.1
  [ffbed154] DocStringExtensions v0.9.5
  [b6b21f68] Ipopt v1.13.0
  [682c06a0] JSON v1.3.0
  [4076af6c] JuMP v1.29.3
  [d72a61cc] MadNLPGPU v0.7.16
  [3b83494e] MadNLPMumps v0.5.1
  [f4238b75] NLPModelsIpopt v0.11.0
  [5f98b655] OptimalControl v1.1.6
  [59046045] OptimalControlProblems v0.3.2
  [91a5bcdd] Plots v1.41.1
  [bd369af6] Tables v1.12.1
  [ade2ca70] Dates v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [44cfe95a] Pkg v1.11.0
  [de0858da] Printf v1.11.0
  [6462fe0b] Sockets v1.11.0
Info Packages marked with  have new versions available and may be upgradable.
Project CTBenchmarks v0.2.3
Status `/scratch/github-actions/actions_runner_control_toolbox/_work/CTBenchmarks.jl/CTBenchmarks.jl/Manifest.toml`
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Info Packages marked with  and  have new versions available. Those with  may be upgradable, but those with  are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

📈 Time vs Grid Size (Moonshot CPU)

🔁 Iterations vs CPU time (Moonshot CPU)

🧭 Solution: N = 200 (Moonshot CPU)

🧭 Solution: N = 500 (Moonshot CPU)

🧭 Solution: N = 1000 (Moonshot CPU)

🧭 Solution: N = 2000 (Moonshot CPU)

🧭 Solution: N = 5000 (Moonshot CPU)

📊 Table of Results (Moonshot CPU)

Problem: vanderpol

SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
200adnlpipopt8.24031.047836min
200adnlpmadnlp7.33831.047836min
200exaipopt4.15531.047836min
200examadnlp3.65331.047836min
200jumpipopt5.49931.047836min
200jumpmadnlp7.79231.047836min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
500adnlpipopt20.32031.047812min
500adnlpmadnlp17.52431.047812min
500exaipopt8.41631.047812min
500examadnlp7.63431.047812min
500jumpipopt11.17331.047812min
500jumpmadnlp17.28531.047812min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
1000adnlpipopt56.51131.047808min
1000adnlpmadnlp50.07331.047808min
1000exaipopt15.30731.047808min
1000examadnlp14.19931.047808min
1000jumpipopt21.06831.047808min
1000jumpmadnlp36.73231.047808min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
2000adnlpipopt177.39231.047807min
2000adnlpmadnlp178.46231.047807min
2000exaipopt30.57631.047807min
2000examadnlp55.27331.047807min
2000jumpipopt48.02431.047807min
2000jumpmadnlp92.32831.047807min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
5000adnlpipopt490.43331.047807min
5000adnlpmadnlp357.47131.047807min
5000exaipopt83.61131.047807min
5000examadnlp153.80331.047807min
5000jumpipopt145.21031.047807min
5000jumpmadnlp273.73931.047807min
Benchmarks results:

┌─ Problem: vanderpol
│
├──┬ Solver: ipopt, Discretization: trapeze
│  │
│  │  N = 200
│  │  ✓ | jump     | time:   5.499 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:   8.02 KiB
│  │  ✓ | adnlp    | time:   8.240 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU: 955.22 KiB
│  │  ✓ | exa      | time:   4.155 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:  53.44 KiB
│  │
│  │  N = 500
│  │  ✓ | jump     | time:  11.173 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:   8.23 KiB
│  │  ✓ | adnlp    | time:  20.320 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:   2.30 MiB
│  │  ✓ | exa      | time:   8.416 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU: 102.50 KiB
│  │
│  │  N = 1000
│  │  ✓ | jump     | time:  21.068 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   8.23 KiB
│  │  ✓ | adnlp    | time:  56.511 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   4.58 MiB
│  │  ✓ | exa      | time:  15.307 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU: 184.69 KiB
│  │
│  │  N = 2000
│  │  ✓ | jump     | time:  48.024 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:   8.23 KiB
│  │  ✓ | adnlp    | time: 177.392 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:   9.13 MiB
│  │  ✓ | exa      | time:  30.576 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU: 348.75 KiB
│  │
│  │  N = 5000
│  │  ✓ | jump     | time: 145.210 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:   8.23 KiB
│  │  ✓ | adnlp    | time: 490.433 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  22.80 MiB
│  │  ✓ | exa      | time:  83.611 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU: 840.94 KiB
│  └─
│
├──┬ Solver: madnlp, Discretization: trapeze
│  │
│  │  N = 200
│  │  ✓ | jump     | time:   7.792 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:   4.55 MiB
│  │  ✓ | adnlp    | time:   7.338 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:   2.02 MiB
│  │  ✓ | exa      | time:   3.653 ms | iters: 3     | obj: 1.047836e+00  (min) | CPU:   1.65 MiB
│  │
│  │  N = 500
│  │  ✓ | jump     | time:  17.285 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:  10.52 MiB
│  │  ✓ | adnlp    | time:  17.524 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:   4.40 MiB
│  │  ✓ | exa      | time:   7.634 ms | iters: 3     | obj: 1.047812e+00  (min) | CPU:   3.47 MiB
│  │
│  │  N = 1000
│  │  ✓ | jump     | time:  36.732 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:  21.94 MiB
│  │  ✓ | adnlp    | time:  50.073 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   8.38 MiB
│  │  ✓ | exa      | time:  14.199 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   6.51 MiB
│  │
│  │  N = 2000
│  │  ✓ | jump     | time:  92.328 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  43.07 MiB
│  │  ✓ | adnlp    | time: 178.462 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  16.34 MiB
│  │  ✓ | exa      | time:  55.273 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  12.59 MiB
│  │
│  │  N = 5000
│  │  ✓ | jump     | time: 273.739 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU: 107.10 MiB
│  │  ✓ | adnlp    | time: 357.471 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  40.22 MiB
│  │  ✓ | exa      | time: 153.803 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  30.82 MiB
│  └─
└─

Moonshot GPU

Results on self-hosted GPU hardware.

⚙️ Configuration

  • Problems: beam, chain, double_oscillator, electric_vehicle, glider, insurance, jackson, robbins, robot, rocket, space_shuttle, steering, vanderpol

  • Solvers: madnlp

  • Models: exa, exa_gpu

  • Grid sizes: 1000, 5000, 10000, 20000 discretization points

  • Discretization: trapeze method

  • Tolerance: 1.0e-6

  • Ipopt strategy: adaptive barrier parameter

  • Limits: 1000 iterations max, 1000.0s wall time

🖥️ Environment

📅 Timestamp     : 2025-11-17 22:08:51 UTC
🔧 Julia version : 1.11.7
💻 OS            : Linux
🖥️ Machine       : moonshot

You can download the exact environment used for this benchmark:

These files allow you to reproduce the benchmark environment and results exactly.

Julia Version 1.11.7
Commit f2b3dbda30a (2025-09-08 12:10 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 144 × Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, skylake-avx512)
Threads: 16 default, 0 interactive, 8 GC (on 144 virtual cores)
Environment:
  JULIA_PKG_SERVER_REGISTRY_PREFERENCE = eager
  JULIA_DEPOT_PATH = /scratch/github-actions/julia_depot
  LD_LIBRARY_PATH = /home/mschanen/local/lib:/home/mschanen/local/lib:
  JULIA_NUM_THREADS = 16
Project CTBenchmarks v0.2.3
Status `/scratch/github-actions/actions_runner_control_toolbox/_work/CTBenchmarks.jl/CTBenchmarks.jl/Project.toml`
  [6e4b80f9] BenchmarkTools v1.6.3
 [54762871] CTBase v0.16.2
  [052768ef] CUDA v5.9.4
  [a93c6f00] DataFrames v1.8.1
  [ffbed154] DocStringExtensions v0.9.5
  [b6b21f68] Ipopt v1.13.0
  [682c06a0] JSON v1.3.0
  [4076af6c] JuMP v1.29.3
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Info Packages marked with  have new versions available and may be upgradable.
Project CTBenchmarks v0.2.3
Status `/scratch/github-actions/actions_runner_control_toolbox/_work/CTBenchmarks.jl/CTBenchmarks.jl/Manifest.toml`
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Info Packages marked with  and  have new versions available. Those with  may be upgradable, but those with  are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

📈 Time vs Grid Size (Moonshot GPU)

🔁 Iterations vs CPU time (Moonshot GPU)

🧭 Solution: N = 1000 (Moonshot GPU)

🧭 Solution: N = 5000 (Moonshot GPU)

🧭 Solution: N = 10000 (Moonshot GPU)

🧭 Solution: N = 20000 (Moonshot GPU)

📊 Table of Results (Moonshot GPU)

Problem: vanderpol

SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
1000examadnlp13.88731.047808min
1000exa_gpumadnlp73.76371.045639min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
5000examadnlp139.28831.047807min
5000exa_gpumadnlp86.50971.036994min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
10000examadnlp299.88331.047807min
10000exa_gpumadnlp106.65471.026238min
SuccessNModelSolverTime (ms)ItersObjectiveCriterionBest
20000examadnlp557.31721.047731min
20000exa_gpumadnlp216.14671.004888min
Benchmarks results:

┌─ Problem: vanderpol
│
├──┬ Solver: madnlp, Discretization: trapeze
│  │
│  │  N = 1000
│  │  ✓ | exa      | time:  13.887 ms | iters: 3     | obj: 1.047808e+00  (min) | CPU:   6.51 MiB
│  │  ✓ | exa_gpu  | time:  73.763 ms | iters: 7     | obj: 1.045639e+00  (min) | CPU:  4.411 MiB | GPU: 17.544 MiB
│  │
│  │  N = 5000
│  │  ✓ | exa      | time: 139.288 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  30.82 MiB
│  │  ✓ | exa_gpu  | time:  86.509 ms | iters: 7     | obj: 1.036994e+00  (min) | CPU:  8.678 MiB | GPU: 87.681 MiB
│  │
│  │  N = 10000
│  │  ✓ | exa      | time: 299.883 ms | iters: 3     | obj: 1.047807e+00  (min) | CPU:  61.20 MiB
│  │  ✓ | exa_gpu  | time: 106.654 ms | iters: 7     | obj: 1.026238e+00  (min) | CPU: 13.949 MiB | GPU: 175.349 MiB
│  │
│  │  N = 20000
│  │  ✓ | exa      | time: 557.317 ms | iters: 2     | obj: 1.047731e+00  (min) | CPU: 119.67 MiB
│  │  ✓ | exa_gpu  | time: 216.146 ms | iters: 7     | obj: 1.004888e+00  (min) | CPU: 24.455 MiB | GPU: 350.659 MiB
│  └─
└─