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Investigating benchmarks #997

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6 changes: 5 additions & 1 deletion experiments/benchmarks/bucket.jl
Original file line number Diff line number Diff line change
Expand Up @@ -171,9 +171,11 @@ MAX_PROFILING_TIME_SECONDS = 500
MAX_PROFILING_SAMPLES = 100
time_now = time()
timings_s = Float64[]
ClimaComms.device() isa ClimaComms.CUDADevice && import CUDA
while (time() - time_now) < MAX_PROFILING_TIME_SECONDS &&
length(timings_s) < MAX_PROFILING_SAMPLES
lprob, lode_algo, lΔt, lcb = setup_simulation()
ClimaComms.device() isa ClimaComms.CUDADevice && CUDA.device_synchronize()
push!(
timings_s,
ClimaComms.@elapsed device SciMLBase.solve(
Expand All @@ -192,11 +194,13 @@ std_timing_s = round(
sqrt(sum(((timings_s .- average_timing_s) .^ 2) / num_samples)),
sigdigits = 3,
)
# Runs: 4
@info "Num samples: $num_samples"
@info "Average time: $(average_timing_s) s"
@info "Max time: $(max_timing_s) s"
@info "Min time: $(min_timing_s) s"
@info "Standard deviation time: $(std_timing_s) s"
@info "Timings: $timings_s"
@info "Done profiling"

prob, ode_algo, Δt, cb = setup_simulation()
Expand Down Expand Up @@ -244,7 +248,7 @@ if ClimaComms.device() isa ClimaComms.CUDADevice
end

if get(ENV, "BUILDKITE_PIPELINE_SLUG", nothing) == "climaland-benchmark"
PREVIOUS_BEST_TIME = 0.477
PREVIOUS_BEST_TIME = 0.486
if average_timing_s > PREVIOUS_BEST_TIME + std_timing_s
@info "Possible performance regression, previous average time was $(PREVIOUS_BEST_TIME)"
elseif average_timing_s < PREVIOUS_BEST_TIME - std_timing_s
Expand Down
7 changes: 6 additions & 1 deletion experiments/benchmarks/land.jl
Original file line number Diff line number Diff line change
Expand Up @@ -392,9 +392,12 @@ MAX_PROFILING_TIME_SECONDS = 500
MAX_PROFILING_SAMPLES = 100
time_now = time()
timings_s = Float64[]
ClimaComms.device() isa ClimaComms.CUDADevice && import CUDA
while (time() - time_now) < MAX_PROFILING_TIME_SECONDS &&
length(timings_s) < MAX_PROFILING_SAMPLES
lprob, lode_algo, lΔt, lcb = setup_simulation()
ClimaComms.device() isa ClimaComms.CUDADevice && CUDA.device_synchronize()
ClimaComms.device() isa ClimaComms.CUDADevice && println("This should work!")
push!(
timings_s,
ClimaComms.@elapsed device SciMLBase.solve(
Expand All @@ -413,11 +416,13 @@ std_timing_s = round(
sqrt(sum(((timings_s .- average_timing_s) .^ 2) / num_samples)),
sigdigits = 3,
)
# Runs: 4
@info "Num samples: $num_samples"
@info "Average time: $(average_timing_s) s"
@info "Max time: $(max_timing_s) s"
@info "Min time: $(min_timing_s) s"
@info "Standard deviation time: $(std_timing_s) s"
@info "Timings: $timings_s"
@info "Done profiling"

prob, ode_algo, Δt, cb = setup_simulation()
Expand Down Expand Up @@ -465,7 +470,7 @@ if ClimaComms.device() isa ClimaComms.CUDADevice
end

if get(ENV, "BUILDKITE_PIPELINE_SLUG", nothing) == "climaland-benchmark"
PREVIOUS_BEST_TIME = 6.1
PREVIOUS_BEST_TIME = 6.35
if average_timing_s > PREVIOUS_BEST_TIME + std_timing_s
@info "Possible performance regression, previous average time was $(PREVIOUS_BEST_TIME)"
elseif average_timing_s < PREVIOUS_BEST_TIME - std_timing_s
Expand Down
4 changes: 4 additions & 0 deletions experiments/benchmarks/richards.jl
Original file line number Diff line number Diff line change
Expand Up @@ -222,9 +222,11 @@ MAX_PROFILING_TIME_SECONDS = 500
MAX_PROFILING_SAMPLES = 100
time_now = time()
timings_s = Float64[]
ClimaComms.device() isa ClimaComms.CUDADevice && import CUDA
while (time() - time_now) < MAX_PROFILING_TIME_SECONDS &&
length(timings_s) < MAX_PROFILING_SAMPLES
lprob, lode_algo, lΔt, lcb = setup_simulation()
ClimaComms.device() isa ClimaComms.CUDADevice && CUDA.device_synchronize()
push!(
timings_s,
ClimaComms.@elapsed device SciMLBase.solve(
Expand All @@ -243,11 +245,13 @@ std_timing_s = round(
sqrt(sum(((timings_s .- average_timing_s) .^ 2) / num_samples)),
sigdigits = 3,
)
# Runs: 4
@info "Num samples: $num_samples"
@info "Average time: $(average_timing_s) s"
@info "Max time: $(max_timing_s) s"
@info "Min time: $(min_timing_s) s"
@info "Standard deviation time: $(std_timing_s) s"
@info "Timings: $timings_s"
@info "Done profiling"

prob, ode_algo, Δt, cb = setup_simulation()
Expand Down
6 changes: 5 additions & 1 deletion experiments/benchmarks/snowy_land.jl
Original file line number Diff line number Diff line change
Expand Up @@ -403,9 +403,11 @@ MAX_PROFILING_TIME_SECONDS = 500
MAX_PROFILING_SAMPLES = 100
time_now = time()
timings_s = Float64[]
ClimaComms.device() isa ClimaComms.CUDADevice && import CUDA
while (time() - time_now) < MAX_PROFILING_TIME_SECONDS &&
length(timings_s) < MAX_PROFILING_SAMPLES
lprob, lode_algo, lΔt, lcb = setup_simulation()
ClimaComms.device() isa ClimaComms.CUDADevice && CUDA.device_synchronize()
push!(
timings_s,
ClimaComms.@elapsed device SciMLBase.solve(
Expand All @@ -424,11 +426,13 @@ std_timing_s = round(
sqrt(sum(((timings_s .- average_timing_s) .^ 2) / num_samples)),
sigdigits = 3,
)
# Runs: 4
@info "Num samples: $num_samples"
@info "Average time: $(average_timing_s) s"
@info "Max time: $(max_timing_s) s"
@info "Min time: $(min_timing_s) s"
@info "Standard deviation time: $(std_timing_s) s"
@info "Timings: $timings_s"
@info "Done profiling"

prob, ode_algo, Δt, cb = setup_simulation()
Expand Down Expand Up @@ -476,7 +480,7 @@ if ClimaComms.device() isa ClimaComms.CUDADevice
end

if get(ENV, "BUILDKITE_PIPELINE_SLUG", nothing) == "climaland-benchmark"
PREVIOUS_BEST_TIME = 6.5
PREVIOUS_BEST_TIME = 0.545
if average_timing_s > PREVIOUS_BEST_TIME + std_timing_s
@info "Possible performance regression, previous average time was $(PREVIOUS_BEST_TIME)"
elseif average_timing_s < PREVIOUS_BEST_TIME - std_timing_s
Expand Down
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