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codespeed.conf
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# Config file for ReBench
# Config format is YAML (see http://yaml.org/ for detailed spec)
# this run definition will be choosen if no parameters are given to rebench.py
standard_run: all
standard_data_file: 'codespeed.data'
standard_experiment: SOMns
reporting:
# results can also be reported to a codespeed instance
# see: https://github.com/tobami/codespeed
csv_file: latest-runs.csv
csv_locale: de_DE.UTF-8
codespeed:
url: http://somns-speed.stefan-marr.de/result/add/json/
runs:
number_of_data_points: 3
statistics:
confidence_level: 0.95
# settings for quick runs, useful for fast feedback during experiments
quick_runs:
number_of_data_points: 3
max_time: 60 # time in seconds
# definition of benchmark suites
benchmark_suites:
macro-startup:
gauge_adapter: RebenchLog
command: &MACRO_CMD " core-lib/Benchmarks/Harness.ns %(benchmark)s "
max_runtime: 600
benchmarks:
- CD:
extra_args: "1 0 2"
codespeed_name: "1st.CD"
- Havlak:
extra_args: "1 0 1"
codespeed_name: "1st.Havlak"
- Richards:
extra_args: "1 0 1"
codespeed_name: "1st.Richards"
- RichardsNS:
extra_args: "1 0 1"
codespeed_name: "1st.RichardsNS"
- DeltaBlue:
extra_args: "1 0 200"
codespeed_name: "1st.DeltaBlue"
- DeltaBlueNS:
extra_args: "1 0 200"
codespeed_name: "1st.DeltaBlueNS"
- Mandelbrot:
extra_args: "1 0 50"
codespeed_name: "1st.Mandelbrot"
- NBody:
extra_args: "1 0 10000"
codespeed_name: "1st.NBody"
- Json:
extra_args: "1 0 2"
codespeed_name: "1st.Json"
- GraphSearch:
extra_args: "1 0 1"
codespeed_name: "1st.GraphSearch"
- PageRank:
extra_args: "1 0 100"
codespeed_name: "1st.PageRank"
- LeeTM:
extra_args: "1 0 4"
codespeed_name: "1st.Lee"
- Vacation:
extra_args: "1 0 8"
codespeed_name: "1st.Vacation"
- Splay:
extra_args: "1 0 1"
codespeed_name: "1st.Splay"
macro-steady:
gauge_adapter: RebenchLog
command: *MACRO_CMD
max_runtime: 6000
benchmarks:
- CD:
extra_args: "130 0 100"
codespeed_name: "peak.CD"
warmup: 30
- Havlak:
extra_args: "130 0 5"
codespeed_name: "peak.Havlak"
warmup: 30
- Richards:
extra_args: "130 0 60"
codespeed_name: "peak.Richards"
warmup: 30
- RichardsNS:
extra_args: "130 0 60"
codespeed_name: "peak.RichardsNS"
warmup: 30
- DeltaBlue:
extra_args: "250 0 1000"
codespeed_name: "peak.DeltaBlue"
warmup: 150
- DeltaBlueNS:
extra_args: "250 0 1000"
codespeed_name: "peak.DeltaBlue"
warmup: 150
- Mandelbrot:
extra_args: "110 0 400"
codespeed_name: "peak.Mandelbrot"
warmup: 10
- NBody:
extra_args: "120 0 150000"
codespeed_name: "peak.NBody"
warmup: 20
- Json:
extra_args: "120 0 50"
codespeed_name: "peak.Json"
warmup: 20
- GraphSearch:
extra_args: "250 0 15"
codespeed_name: "peak.GraphSearch"
warmup: 100
- PageRank:
extra_args: "120 0 500"
codespeed_name: "peak.PageRank"
warmup: 20
- LeeTM:
extra_args: "150 0 2"
codespeed_name: "peak.Lee"
warmup: 30
- Vacation:
extra_args: "150 0 7"
codespeed_name: "peak.Vacation"
warmup: 30
- Splay:
extra_args: "150 0 1"
codespeed_name: "peak.Splay"
warmup: 30
som-startup:
gauge_adapter: RebenchLog
command: *MACRO_CMD
max_runtime: 600
benchmarks:
- Fannkuch:
extra_args: "1 0 7"
codespeed_name: "1st.Fannkuch"
- List:
extra_args: "1 0 50"
codespeed_name: "1st.List"
- Bounce:
extra_args: "1 0 20"
codespeed_name: "1st.Bounce"
- Permute:
extra_args: "1 0 10"
codespeed_name: "1st.Permute"
- Queens:
extra_args: "1 0 10"
codespeed_name: "1st.Queens"
- Storage:
extra_args: "1 0 20"
codespeed_name: "1st.Storage"
- Sieve:
extra_args: "1 0 100"
codespeed_name: "1st.Sieve"
- Towers:
extra_args: "1 0 20"
codespeed_name: "1st.Towers"
som-steady:
gauge_adapter: RebenchLog
command: *MACRO_CMD
max_runtime: 600
benchmarks:
- Fannkuch:
extra_args: "55 0 9"
codespeed_name: "peak.Fannkuch"
warmup: 5
- List:
extra_args: "70 0 1000"
codespeed_name: "peak.List"
warmup: 20
- Bounce:
extra_args: "60 0 1000"
codespeed_name: "peak.Bounce"
warmup: 10
- Permute:
extra_args: "60 0 500"
codespeed_name: "peak.Permute"
warmup: 10
- Queens:
extra_args: "120 0 400"
codespeed_name: "peak.Queens"
warmup: 70
- Storage:
extra_args: "75 0 1000"
codespeed_name: "peak.Storage"
warmup: 25
- Sieve:
extra_args: "60 0 400"
codespeed_name: "peak.Sieve"
warmup: 10
- Towers:
extra_args: "60 0 300"
codespeed_name: "peak.Towers"
warmup: 10
sort-startup:
gauge_adapter: RebenchLog
command: &SORT_CMD " core-lib/Benchmarks/Harness.ns Sort.%(benchmark)s "
max_runtime: 600
benchmarks:
- TreeSort:
extra_args: "1 0 10"
codespeed_name: "1st.TreeSort"
- BubbleSort:
extra_args: "1 0 25"
codespeed_name: "1st.BubbleSort"
- QuickSort:
extra_args: "1 0 20"
codespeed_name: "1st.QuickSort"
sort-steady:
gauge_adapter: RebenchLog
command: *SORT_CMD
max_runtime: 600
benchmarks:
- BubbleSort:
extra_args: "60 0 2000"
codespeed_name: "peak.BubbleSort"
warmup: 10
- QuickSort:
extra_args: "60 0 800"
codespeed_name: "peak.QuickSort"
warmup: 10
- TreeSort:
extra_args: "60 0 300"
codespeed_name: "peak.TreeSort"
warmup: 10
micro-startup:
gauge_adapter: RebenchLog
command: &MICRO_CMD " core-lib/Benchmarks/Harness.ns LanguageFeatures.%(benchmark)s "
max_runtime: 30
benchmarks:
- Fibonacci:
extra_args: "1 0 100"
codespeed_name: "1st.Fibonacci"
- ClosureDefFibonacci:
extra_args: "1 0 50"
codespeed_name: "1st.ClosureDefFibonacci"
- ClosureFibonacci:
extra_args: "1 0 50"
codespeed_name: "1st.ClosureFibonacci"
- Dispatch:
extra_args: "1 0 50"
codespeed_name: "1st.Dispatch"
- Loop:
extra_args: "1 0 100"
codespeed_name: "1st.Loop"
- Recurse:
extra_args: "1 0 50"
codespeed_name: "1st.Recurse"
- Sum:
extra_args: "1 0 100"
codespeed_name: "1st.Sum"
- IntegerLoop:
extra_args: "1 0 100"
codespeed_name: "1st.IntegerLoop"
- FieldLoop:
extra_args: "1 0 2"
codespeed_name: "1st.FieldLoop"
- WhileLoop:
extra_args: "1 0 100"
codespeed_name: "1st.WhileLoop"
micro-steady:
gauge_adapter: RebenchLog
command: *MICRO_CMD
max_runtime: 600
benchmarks:
- Fibonacci:
extra_args: "70 0 1000"
codespeed_name: "peak.Fibonacci"
warmup: 20
- ClosureDefFibonacci:
extra_args: "70 0 300"
codespeed_name: "peak.ClosureDefFibonacci"
warmup: 20
- ClosureFibonacci:
extra_args: "70 0 300"
codespeed_name: "peak.ClosureFibonacci"
warmup: 20
- Dispatch:
extra_args: "55 0 2000"
codespeed_name: "peak.Dispatch"
warmup: 5
- Loop:
extra_args: "55 0 3000"
codespeed_name: "peak.Loop"
warmup: 5
- Recurse:
extra_args: "70 0 2000"
codespeed_name: "peak.Recurse"
warmup: 20
- Sum:
extra_args: "55 0 3000"
codespeed_name: "peak.Sum"
warmup: 5
- IntegerLoop:
extra_args: "55 0 2000"
codespeed_name: "peak.IntegerLoop"
warmup: 5
- FieldLoop:
extra_args: "55 0 200"
codespeed_name: "peak.FieldLoop"
warmup: 5
- WhileLoop:
extra_args: "55 0 2000"
codespeed_name: "peak.WhileLoop"
warmup: 5
savina-interp:
gauge_adapter: RebenchLog
command: "core-lib/Benchmarks/AsyncHarness.ns Savina.%(benchmark)s 50 0 "
max_runtime: 180
benchmarks:
# Microbenchmarks
- PingPong:
extra_args: 40000
codespeed_name: "M.PingPong"
- Counting:
extra_args: 300000 # was 1000000
codespeed_name: "M.Counting"
- ForkJoinThroughput:
extra_args: "3000:60" # "10000:60"
codespeed_name: "M.ForkJoinThroughput"
- ForkJoinActorCreation:
extra_args: 20000
codespeed_name: "M.ForkJoinActorCreation"
- ThreadRing:
extra_args: "100:50000"
codespeed_name: "M.ThreadRing"
- Chameneos:
extra_args: "100:20000" # "100:200000"
codespeed_name: "M.Chameneos"
- BigContention:
extra_args: "500:120"
codespeed_name: "M.BigContention"
# Concurrency
- ConcurrentDictionary:
extra_args: "20:600:20" # "20:10000:50"
codespeed_name: "C.Dictionary"
- ConcurrentSortedLinkedList:
extra_args: "10:500:10:1" # "20:8000:10:1"
codespeed_name: "C.SortedLinkedList"
- ProducerConsumerBoundedBuffer:
extra_args: "40:5:5:10" # "50:40:40:1000"
codespeed_name: "C.ProdConBoundedBuffer"
- Philosophers:
extra_args: "20:2000"
codespeed_name: "C.Philosophers"
- SleepingBarber:
extra_args: "800:500:500:200"
codespeed_name: "C.SleepingBarber"
- CigaretteSmokers:
extra_args: "1000:200"
codespeed_name: "C.CigaretteSmokers"
- LogisticsMapSeries:
extra_args: "10000:10:346"
codespeed_name: "C.LogisticsMapSeries"
- BankTransaction:
extra_args: "1000:10000"
codespeed_name: "C.BankTransaction"
# Parallelism
- RadixSort:
extra_args: "10000:65536:74755" # "100000:1152921504606846976:74755"
codespeed_name: "P.RadixSort"
- UnbalancedCobwebbedTree:
extra_args: "10000:10:0:1"
codespeed_name: "P.UnbalancedCobwebbedTree"
- TrapezoidalApproximation:
extra_args: "100:100000:1:5" # "100:10000000:1:5"
codespeed_name: "P.TrapezoidalApproximation"
- AStarSearch:
extra_args: "100:10"
codespeed_name: "P.AStarSearch"
- NQueens:
extra_args: "20:8:4"
codespeed_name: "P.NQueens"
savina-jit:
gauge_adapter: RebenchLog
command: "core-lib/Benchmarks/AsyncHarness.ns Savina.%(benchmark)s 100 25 "
max_runtime: 420
benchmarks:
# Microbenchmarks
- PingPong:
extra_args: 40000
codespeed_name: "M.PingPong"
- Counting:
extra_args: 200000 # was 1000000
codespeed_name: "M.Counting"
- ForkJoinThroughput:
extra_args: "3000:60" # "10000:60"
codespeed_name: "M.ForkJoinThroughput"
- ForkJoinActorCreation:
extra_args: 40000
codespeed_name: "M.ForkJoinActorCreation"
- ThreadRing:
extra_args: "100:100000"
codespeed_name: "M.ThreadRing"
- Chameneos:
extra_args: "100:100000" # "100:200000"
codespeed_name: "M.Chameneos"
- BigContention:
extra_args: "2000:120"
codespeed_name: "M.BigContention"
# Concurrency
- ConcurrentDictionary:
extra_args: "20:1000:20" # "20:10000:50"
codespeed_name: "C.Dictionary"
- ConcurrentSortedLinkedList:
extra_args: "10:1500:10:1" # "20:8000:10:1"
codespeed_name: "C.SortedLinkedList"
- ProducerConsumerBoundedBuffer:
extra_args: "40:10:10:60" # "50:40:40:1000"
codespeed_name: "C.ProdConBoundedBuffer"
- Philosophers:
extra_args: "20:5000"
codespeed_name: "C.Philosophers"
- SleepingBarber:
extra_args: "2500:1000:1000:1000"
codespeed_name: "C.SleepingBarber"
- CigaretteSmokers:
extra_args: "10000:200"
codespeed_name: "C.CigaretteSmokers"
- LogisticsMapSeries:
extra_args: "25000:10:346"
codespeed_name: "C.LogisticsMapSeries"
- BankTransaction:
extra_args: "1000:100000"
codespeed_name: "C.BankTransaction"
# Parallelism
- RadixSort:
extra_args: "50000:65536:74755" # "100000:1152921504606846976:74755"
codespeed_name: "P.RadixSort"
- UnbalancedCobwebbedTree:
extra_args: "100000:10:500:100"
codespeed_name: "P.UnbalancedCobwebbedTree"
- TrapezoidalApproximation:
extra_args: "100:1000000:1:5" # "100:10000000:1:5"
codespeed_name: "P.TrapezoidalApproximation"
- AStarSearch:
extra_args: "100:20"
codespeed_name: "P.AStarSearch"
- NQueens:
extra_args: "20:10:4"
codespeed_name: "P.NQueens"
validation:
gauge_adapter: ValidationLog
command: " core-lib/Benchmarks/ImpactHarness.ns Validation.%(benchmark)s "
max_runtime: 300
benchmarks:
- Philosophers:
extra_args: "130 0 5:5 25"
codespeed_name: "i.Philosophers"
warmup: 30
- Sequence:
extra_args: "130 0 100"
codespeed_name: "i.Sequence"
warmup: 30
- DeadLock:
extra_args: "130 0 4:2:3"
codespeed_name: "i.DeadLock"
warmup: 30
- Counting:
extra_args: "130 0 1000"
codespeed_name: "i.Counting"
warmup: 30
- Messages:
extra_args: "130 0 1000"
codespeed_name: "i.Messages"
warmup: 30
fj-steady:
description: Sequential version of Fork/Join benchmarks for normal performance tracking
gauge_adapter: RebenchLog
command: &FJ_CMD " core-lib/Benchmarks/Harness.ns core-lib/Benchmarks/ForkJoin/%(benchmark)s%(input)s.ns "
input_sizes:
- Seq # all fork() are compute()
max_runtime: 120
benchmarks:
## Excluding Fib, NQueens, QuickSort
## we have similar versions already
- CilkSort:
extra_args: "130 0 20"
codespeed_name: "peak.CilkSort"
warmup: 30
- Integrate:
extra_args: "130 0 100"
codespeed_name: "peak.Integrate"
warmup: 30
- Jacobi:
extra_args: "130 0 200"
codespeed_name: "peak.Jacobi"
warmup: 30
- LUDecomposition:
extra_args: "130 0 128"
codespeed_name: "peak.LUDecomposition"
warmup: 30
fj-startup:
description: Sequential version of Fork/Join benchmarks for normal performance tracking
gauge_adapter: RebenchLog
command: *FJ_CMD
input_sizes:
- Seq # all fork() are compute()
max_runtime: 60
benchmarks:
## Excluding Fib, NQueens, QuickSort
## we have similar versions already
- CilkSort:
extra_args: "1 0 1"
codespeed_name: "1st.CilkSort"
- Integrate:
extra_args: "1 0 50"
codespeed_name: "1st.Integrate"
- Jacobi:
extra_args: "1 0 100"
codespeed_name: "1st.Jacobi"
- LUDecomposition:
extra_args: "1 0 128"
codespeed_name: "1st.LUDecomposition"
forkjoin:
gauge_adapter: RebenchLog
command: " core-lib/Benchmarks/Harness.ns core-lib/Benchmarks/ForkJoin/%(benchmark)s%(input)s.ns %(variable)s 0 "
variable_values: 300 ## the number iterations measured
max_runtime: 300
input_sizes:
- Seq # all fork() are compute()
- Opt # fork, but do one task locally
- Nai # fork all tasks, only do a join locally
- One # only one parallel task by forking and immediately joining
benchmarks:
- CilkSort:
extra_args: 20
# - FFT:
# extra_args: 1024
- Fib:
extra_args: 23
- Integrate:
extra_args: 60
- Jacobi:
extra_args: 1024
- LUDecomposition:
extra_args: 1024
- NQueens:
extra_args: 11
- QuickSort:
extra_args: 200
# - UTS:
# extra_args: 1
# VMs have a name and are specified by a path and the binary to be executed
virtual_machines:
SOMns-interp:
path: .
binary: som
args: "-G -t1 "
SOMns-graal:
path: .
binary: som
args: "-t1 -EG "
# without restricting the number of actor threads
SOMns-interp-tn:
path: .
binary: som
args: "-G "
# without restricting the number of actor threads
SOMns-graal-tn:
path: .
binary: som
args: "-EG "
SOMns-interp-exp:
path: .
binary: som
args: "-G -t1 "
SOMns-graal-exp:
path: .
binary: som
args: "-t1 -EG "
# with actor tracing
SOMns-interp-at:
path: .
binary: som
args: "-G -at -TF "
SOMns-interp-at-mt:
path: .
binary: som
args: "-G -at -TF -atcfg=mp:pc "
SOMns-interp-at-mp:
path: .
binary: som
args: "-G -at -TF -atcfg=mt:pc "
SOMns-interp-at-pc:
path: .
binary: som
args: "-G -at -TF -atcfg=mt:mp "
SOMns-interp-at-min:
path: .
binary: som
args: "-G -at -TF -atcfg=mt:mp:pc "
# with actor tracing
SOMns-graal-at:
path: .
binary: som
args: "-at -TF -EG "
SOMns-graal-at-mt:
path: .
binary: som
args: "-at -TF -EG -atcfg=mp:pc "
SOMns-graal-at-mp:
path: .
binary: som
args: "-at -TF -EG -atcfg=mt:pc "
SOMns-graal-at-pc:
path: .
binary: som
args: "-at -TF -EG -atcfg=mt:mp "
SOMns-graal-at-min:
path: .
binary: som
args: "-at -TF -EG -atcfg=mt:mp:pc "
# define the benchmarks to be executed for a re-executable benchmark run
experiments:
SOMns:
description: All benchmarks on SOMns with Graal
actions: benchmark
benchmark:
- micro-startup
- micro-steady
- macro-startup
- macro-steady
- sort-startup
- sort-steady
- som-startup
- som-steady
- fj-startup
- fj-steady
executions:
- SOMns-graal
SOMns-Savina:
description: Run the Savina Actor benchmarks
actions: benchmarks
executions:
- SOMns-interp:
benchmark: savina-interp
- SOMns-graal:
benchmark: savina-jit
SOMns-exp:
description: All benchmarks on SOMns with Graal
actions: benchmark
benchmark:
- micro-startup
- micro-steady
- macro-startup
- macro-steady
- sort-startup
- sort-steady
- som-startup
- som-steady
- fj-startup
- fj-steady
executions:
- SOMns-graal-exp
SOMns-interp:
description: All benchmarks on SOMns without Graal
actions: benchmark
benchmark:
- micro-startup
- macro-startup
- sort-startup
- som-startup
executions:
- SOMns-interp
SOMns-interp-exp:
description: All benchmarks on SOMns without Graal
actions: benchmark
benchmark:
- micro-startup
- macro-startup
- sort-startup
- som-startup
executions:
- SOMns-interp
SOMns-Savina-exp:
description: Run the Savina Actor benchmarks
actions: benchmarks
executions:
- SOMns-interp-exp:
benchmark: savina-interp
- SOMns-graal-exp:
benchmark: savina-jit
SOMns-Savina-tracing:
description: Run the Savina Actor benchmarks with tracing enabled
actions: benchmarks
executions:
- SOMns-interp-at:
benchmark: savina-interp
- SOMns-graal-at:
benchmark: savina-jit
SOMns-Validation:
description: Run the Savina Actor benchmarks
actions: benchmarks
executions:
- SOMns-graal-tn:
benchmark: validation
- SOMns-interp-tn:
benchmark: validation
- SOMns-interp-at:
benchmark: validation
- SOMns-graal-at:
benchmark: validation
SOMns-Test:
description: Run the Savina Actor benchmarks
actions: benchmarks
executions:
- SOMns-graal-tn:
benchmark:
- validation
- savina-jit
- SOMns-interp-tn:
benchmark:
- validation
- savina-interp
- SOMns-interp-at:
benchmark:
- validation
- savina-interp
- SOMns-interp-at-mt:
benchmark:
- validation
- savina-interp
- SOMns-interp-at-mp:
benchmark:
- validation
- savina-interp
- SOMns-interp-at-pc:
benchmark:
- validation
- savina-interp
- SOMns-interp-at-min:
benchmark:
- validation
- savina-interp
- SOMns-graal-at:
benchmark:
- validation
- savina-jit
- SOMns-graal-at-mt:
benchmark:
- validation
- savina-jit
- SOMns-graal-at-mp:
benchmark:
- validation
- savina-jit
- SOMns-graal-at-pc:
benchmark:
- validation
- savina-jit
- SOMns-graal-at-min:
benchmark:
- validation
- savina-jit
nightly:
description: Nightly runs of the experiments
actions: benchmarks
executions:
# without restricting the number of actor threads
- SOMns-graal-tn:
benchmark:
- micro-startup
- micro-steady
- macro-startup
- macro-steady
- sort-startup
- sort-steady
- som-startup
- som-steady
- savina-jit
# without restricting the number of actor threads
- SOMns-interp-tn:
benchmark:
- micro-startup
- macro-startup
- sort-startup
- som-startup
- savina-interp
forkjoin:
description: Fork/Join benchmarks
action: benchmarks
executions:
- SOMns-graal-tn:
benchmark:
- forkjoin