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Benchmarking TotalVariationImageFiltering

This benchmark suite is deterministic (fixed seed for synthetic noise) and reusable across machines/commits.

Setup

julia --project=benchmark -e 'using Pkg; Pkg.instantiate()'

Run

From the repository root:

julia --project=benchmark benchmark/run_benchmarks.jl --backend=cpu --samples=20 --output=benchmark/results/cpu.csv

To try CUDA too:

julia --project=benchmark -e 'using Pkg; Pkg.add("CUDA")'
julia --project=benchmark benchmark/run_benchmarks.jl --backend=both --samples=20 --output=benchmark/results/both.csv

If CUDA is not installed/functioning (or extension is inactive), CUDA cases are skipped automatically.

Useful options

  • --backend=cpu|cuda|both
  • --samples=N
  • --evals=N
  • --seed=N
  • --quick
  • --output=PATH
  • --no-output
  • --no-gpu (alias for --backend=cpu)

Use --help for all options:

julia --project=benchmark benchmark/run_benchmarks.jl --help

CUDA Batching vs Non-Batching

For CUDA-only comparison across batch sizes (1,4,...,1024):

julia --project=benchmark -e 'using Pkg; Pkg.add("CUDA")'
julia --project=benchmark benchmark/compare_batching_cuda.jl \
  --batch-sizes=1,4,8,16,32,64,128,256,512,1024 \
  --output=benchmark/results/cuda_batching_vs_no_batching.csv