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rename engine location benchmarks, modify plotter to support missing configuration files as the new cases are not universally applicable to all configurations

master
Constantin Fürst 1 year ago
parent
commit
b37968dd3f
  1. 0
      benchmarks/benchmark-descriptors/engine-location-bench/nodeoutsidercopy-internode-n0ton1-1gib.json
  2. 0
      benchmarks/benchmark-descriptors/engine-location-bench/nodeoutsidercopy-internode-n0ton1-1mib.json
  3. 21
      benchmarks/benchmark-descriptors/engine-location-bench/sockoutsidercopy-internode-n0ton1-1gib.json
  4. 21
      benchmarks/benchmark-descriptors/engine-location-bench/sockoutsidercopy-internode-n0ton1-1mib.json
  5. 39
      benchmarks/benchmark-plotters/plot-perf-enginelocation.py

0
benchmarks/benchmark-descriptors/engine-location-bench/outsidercopy-internode-n0ton1-1gib.json → benchmarks/benchmark-descriptors/engine-location-bench/nodeoutsidercopy-internode-n0ton1-1gib.json

0
benchmarks/benchmark-descriptors/engine-location-bench/outsidercopy-internode-n0ton1-1mib.json → benchmarks/benchmark-descriptors/engine-location-bench/nodeoutsidercopy-internode-n0ton1-1mib.json

21
benchmarks/benchmark-descriptors/engine-location-bench/sockoutsidercopy-internode-n0ton1-1gib.json

@ -0,0 +1,21 @@
{
"count": 1,
"list": [
{
"affinity": {
"nnode_dst": 1,
"nnode_src": 0,
"node": 3
},
"task": {
"batching": {
"batch_size": 0,
"batch_submit": false
},
"iterations": 1000,
"size": 1073741824
}
}
],
"path": "hw"
}

21
benchmarks/benchmark-descriptors/engine-location-bench/sockoutsidercopy-internode-n0ton1-1mib.json

@ -0,0 +1,21 @@
{
"count": 1,
"list": [
{
"affinity": {
"nnode_dst": 1,
"nnode_src": 0,
"node": 3
},
"task": {
"batching": {
"batch_size": 0,
"batch_submit": false
},
"iterations": 1000,
"size": 1048576
}
}
],
"path": "hw"
}

39
benchmarks/benchmark-plotters/plot-perf-enginelocation.py

@ -11,8 +11,8 @@ y_label = "Throughput in GiB/s"
var_label = "Configuration"
types = ["intersock-n0ton4-1mib", "internode-n0ton1-1mib", "intersock-n0ton4-1gib", "internode-n0ton1-1gib"]
types_nice = ["Inter-Socket Copy 1MiB", "Inter-Node Copy 1MiB", "Inter-Socket Copy 1GiB", "Inter-Node Copy 1GiB"]
copy_methods = ["dstcopy", "srccopy", "xcopy"]
copy_methods_nice = [ "Engine on DST-Node", "Engine on SRC-Node", "Cross-Copy / Both Engines" ]
copy_methods = ["dstcopy", "srccopy", "xcopy", "srcoutsidercopy", "dstoutsidercopy", "sockoutsidercopy", "nodeoutsidercopy"]
copy_methods_nice = [ "Engine on DST-Node", "Engine on SRC-Node", "Cross-Copy / Both Engines", "Engine on SRC-Socket, not SRC-Node", "Engine on DST-Socket, not DST-Node", "Engine on different Socket", "Engine on same Socket but neither SRC nor DST Node"]
title = "Performance of Engine Location - Copy Operation on DDR with 1 Engine per WQ"
index = [runid, x_label, var_label]
@ -34,6 +34,7 @@ def index_from_element(value,array):
def load_and_process_copy_json(file_path,method_label):
with open(file_path, 'r') as file:
data = json.load(file)
iterations = data["list"][0]["task"]["iterations"]
# Extracting time from JSON structure
if method_label == "xcopy":
@ -52,35 +53,35 @@ def load_and_process_copy_json(file_path,method_label):
return data["list"][0]["report"]["time"]
# Function to plot the graph for the new benchmark
def create_copy_dataset(file_paths, method_label):
times = []
def create_copy_dataset(file_path, method_label, type_label):
method_index = index_from_element(method_label,copy_methods)
method_nice = copy_methods_nice[method_index]
type_index = index_from_element(type_label, types)
type_nice = types_nice[type_index]
data_size = 0
idx = 0
for file_path in file_paths:
time = load_and_process_copy_json(file_path,method_label)
times.append(time["total"])
idx = idx + 1
throughput = [[calc_throughput(1024*1024,time) for time in t] for t in times]
if type_label in ["internode-n0ton1-1mib", "intersock-n0ton4-1mib"]:
data_size = 1024 * 1024
else:
data_size = 1024*1024*1024
idx = 0
for run_set in throughput:
try:
time = load_and_process_copy_json(file_path,method_label)["total"]
run_idx = 0
for run in run_set:
data.append({ runid : run_idx, x_label: types_nice[idx], var_label : method_nice, y_label : throughput[idx][run_idx]})
for t in time:
data.append({ runid : run_idx, x_label: type_nice, var_label : method_nice, y_label : calc_throughput(data_size, t)})
run_idx = run_idx + 1
idx = idx + 1
except FileNotFoundError:
return
# Main function to iterate over files and create plots for the new benchmark
def main():
folder_path = "benchmark-results/"
for method_label in copy_methods:
copy_file_paths = [os.path.join(folder_path, f"{method_label}-{type_label}-1e.json") for type_label in types]
create_copy_dataset(copy_file_paths, method_label)
for type_label in types:
file = os.path.join(folder_path, f"{method_label}-{type_label}-1e.json")
create_copy_dataset(file, method_label, type_label)
df = pd.DataFrame(data)
df.set_index(index, inplace=True)

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