diff --git a/Utils/benchmark/gen_normalized_time_plots.R b/Utils/benchmark/gen_normalized_time_plots.R index bf4003941532071fbd01a62188c93aae37f95fcf..cb8a5a112f5c9cc031a64c03efadb82bfb5f94e8 100644 --- a/Utils/benchmark/gen_normalized_time_plots.R +++ b/Utils/benchmark/gen_normalized_time_plots.R @@ -70,6 +70,7 @@ gen_normalized_time_plot <- function(db, d_breaks, model_wanted) gen_normalized_time <- function(dbfile) { data <- get_data_subset(dbfile, 0L, 0L, "False", get_bsize_reference()) + data <- subset(data, global_time >= 0) all_model <- unique(data$model) #Get all algorithm without the reference algorithm all_algo <- unique(subset(data, algo != get_one_node_reference_algorithm())$algo) diff --git a/Utils/benchmark/gen_parallel_efficiency_plots.R b/Utils/benchmark/gen_parallel_efficiency_plots.R index 59a447c54709bf196fb68e6a5727a4b0e958dbc2..b698bd38dd3cc9f9315be908d3df04401e41c275 100644 --- a/Utils/benchmark/gen_parallel_efficiency_plots.R +++ b/Utils/benchmark/gen_parallel_efficiency_plots.R @@ -67,6 +67,7 @@ gen_pareff <- function(dbfile) file <- paste(dbfile, sep="") data <- get_data_subset(dbfile, 0L, 0L, "False", get_bsize_reference()) data <- subset(data, algo != get_one_node_reference_algorithm()) + data <- subset(data, global_time >= 0) all_model <- unique(data$model) for (i in 1:length(all_model)) { diff --git a/Utils/benchmark/gen_speed_plots.R b/Utils/benchmark/gen_speed_plots.R index 4182f793ee664563e8b72cb8897f786634be8026..99115221c271c0b62b5c7a62d9e7ec30d84225e0 100644 --- a/Utils/benchmark/gen_speed_plots.R +++ b/Utils/benchmark/gen_speed_plots.R @@ -33,6 +33,7 @@ gen_speed <- function(dbfile) { data <- get_data_subset(dbfile, 0L, 0L, "False", get_bsize_reference()) data <- subset(data, algo != get_one_node_reference_algorithm()) + data <- subset(data, global_time >= 0) all_model <- unique(data$model) for (i in 1:length(all_model)) diff --git a/Utils/benchmark/gen_speedup_plots.R b/Utils/benchmark/gen_speedup_plots.R index b8bc76269eddf5a30a60ca76def61cc1aad38d52..b4de12d16db14015038ebc25f016d0bcbe87bfca 100644 --- a/Utils/benchmark/gen_speedup_plots.R +++ b/Utils/benchmark/gen_speedup_plots.R @@ -54,6 +54,7 @@ gen_speedup <- function(dbfile) { data <- get_data_subset(dbfile, 0L, 0L, "False", get_bsize_reference()) data <- subset(data, algo != get_one_node_reference_algorithm()) + data <- subset(data, global_time >= 0) all_model <- unique(data$model) for (i in 1:length(all_model)) diff --git a/Utils/benchmark/generate_graph.R b/Utils/benchmark/generate_graph.R index 7818e31bf5a4efd164b82ba817fca788e739de91..5d634bc00e14765645a0d587c8605c114a678f08 100644 --- a/Utils/benchmark/generate_graph.R +++ b/Utils/benchmark/generate_graph.R @@ -14,8 +14,8 @@ source("gen_group_size_plots.R") ### print("Generate Communication volume plot") gen_comm("loutre.db") -print("Generate Group size plot") -gen_group_size("loutre.db") +#print("Generate Group size plot") +#gen_group_size("loutre.db") print("Generate Speed plot") gen_speed("loutre.db") #print("Generate times task plot") diff --git a/Utils/benchmark/loutre.py b/Utils/benchmark/loutre.py index d91b7ed92f5f03c1710ec5449397c995c8d91196..6c5a44d345d5e609cd15ef8a67f00674a36219cd 100755 --- a/Utils/benchmark/loutre.py +++ b/Utils/benchmark/loutre.py @@ -265,7 +265,7 @@ def main(): config=ScalFMMConfig() rmem = 0 - global_time = 0.0 + global_time = -1.0 runtime_time = 0.0 task_time = 0.0 idle_time = 0.0