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Merge pull request #3627 from f18m/master
Scripts for graphing benchmark results
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commit
e8e13c17ad
@ -3,16 +3,27 @@
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#
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# This script assumes that 2 machines are used to generate performance results.
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# First machine is assumed to be the one where this script runs.
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# Second machine is the "REMOTE_IP" machine; we assume to have passwordless SSH access.
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# Second machine is the "REMOTE_IP_SSH" machine; we assume to have passwordless SSH access.
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#
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# Usage example:
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# export REMOTE_IP_SSH=10.0.0.1
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# export LOCAL_TEST_ENDPOINT="tcp://192.168.1.1:1234"
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# export REMOTE_TEST_ENDPOINT="tcp://192.168.1.2:1234"
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# export REMOTE_LIBZMQ_PATH="/home/fmontorsi/libzmq/perf"
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# ./generate_csv.sh
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#
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set -u
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# configurable values:
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REMOTE_IP=${REMOTE_IP:-127.0.0.1}
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REMOTE_PATH=/home/francesco/work/libzmq-orig/perf #/root/libzmq/perf
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TEST_ENDPOINT=tcp://127.0.0.1:1234
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MESSAGE_SIZE_LIST="1 16 64 128 512 1024 4096 16384 65536"
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# configurable values (via environment variables):
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REMOTE_IP_SSH=${REMOTE_IP_SSH:-127.0.0.1}
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REMOTE_LIBZMQ_PATH=${REMOTE_LIBZMQ_PATH:-/root/libzmq/perf}
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LOCAL_TEST_ENDPOINT=${LOCAL_TEST_ENDPOINT:-tcp://192.168.1.1:1234}
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REMOTE_TEST_ENDPOINT=${REMOTE_TEST_ENDPOINT:-tcp://192.168.1.2:1234}
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# constant values:
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MESSAGE_SIZE_LIST="8 16 32 64 128 256 512 1024 2048 4096 8192 16384 32768 65536 131072"
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OUTPUT_DIR="results"
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OUTPUT_FILE_PREFIX="results.txt"
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OUTPUT_FILE_CSV_PREFIX="results.csv"
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@ -21,19 +32,19 @@ OUTPUT_FILE_CSV_PREFIX="results.csv"
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function verify_ssh()
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{
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ssh $REMOTE_IP "ls /" >/dev/null
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ssh $REMOTE_IP_SSH "ls /" >/dev/null
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if [ $? -ne 0 ]; then
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echo "Cannot connect via SSH passwordless to the REMOTE_IP $REMOTE_IP. Please fix the problem and retry."
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echo "Cannot connect via SSH passwordless to the REMOTE_IP_SSH $REMOTE_IP_SSH. Please fix the problem and retry."
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exit 2
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fi
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ssh $REMOTE_IP "ls $REMOTE_PATH" >/dev/null
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ssh $REMOTE_IP_SSH "ls $REMOTE_LIBZMQ_PATH" >/dev/null
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if [ $? -ne 0 ]; then
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echo "The folder $REMOTE_PATH is not valid. Please fix the problem and retry."
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echo "The folder $REMOTE_LIBZMQ_PATH is not valid. Please fix the problem and retry."
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exit 2
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fi
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echo "SSH connection to the remote $REMOTE_IP is working fine."
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echo "SSH connection to the remote $REMOTE_IP_SSH is working fine."
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}
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function run_remote_perf_util()
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@ -42,8 +53,8 @@ function run_remote_perf_util()
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local REMOTE_PERF_UTIL="$2"
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local NUM_MESSAGES="$3"
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echo "Launching on $REMOTE_IP the utility [$REMOTE_PERF_UTIL] for messages ${MESSAGE_SIZE_BYTES}B long"
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ssh $REMOTE_IP "$REMOTE_PATH/$REMOTE_PERF_UTIL $TEST_ENDPOINT $MESSAGE_SIZE_BYTES $NUM_MESSAGES" &
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echo "Launching on $REMOTE_IP_SSH the utility [$REMOTE_PERF_UTIL] for messages ${MESSAGE_SIZE_BYTES}B long"
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ssh $REMOTE_IP_SSH "$REMOTE_LIBZMQ_PATH/$REMOTE_PERF_UTIL $TEST_ENDPOINT $MESSAGE_SIZE_BYTES $NUM_MESSAGES" &
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if [ $? -ne 0 ]; then
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echo "Failed to launch remote perf util."
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exit 2
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@ -59,17 +70,18 @@ function generate_output_file()
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local CSV_HEADER_LINE="$5"
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# derived values:
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local OUTPUT_FILE_TXT="${OUTPUT_FILE_PREFIX}.txt" # useful just for human-friendly debugging
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local OUTPUT_FILE_CSV="${OUTPUT_FILE_PREFIX}.csv" # actually used to later produce graphs
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local OUTPUT_FILE_TXT="${OUTPUT_DIR}/${OUTPUT_FILE_PREFIX}.txt" # useful just for human-friendly debugging
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local OUTPUT_FILE_CSV="${OUTPUT_DIR}/${OUTPUT_FILE_PREFIX}.csv" # actually used to later produce graphs
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local MESSAGE_SIZE_ARRAY=($MESSAGE_SIZE_LIST)
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echo "Killing still-running ZMQ performance utils, if any"
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pkill $LOCAL_PERF_UTIL # in case it's running from a previous test
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if [ ! -z "$REMOTE_PERF_UTIL" ]; then
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ssh $REMOTE_IP "pkill $REMOTE_PERF_UTIL" # in case it's running from a previous test
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ssh $REMOTE_IP_SSH "pkill $REMOTE_PERF_UTIL" # in case it's running from a previous test
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fi
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echo "Resetting output file $OUTPUT_FILE_TXT and $OUTPUT_FILE_CSV"
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mkdir -p ${OUTPUT_DIR}
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> $OUTPUT_FILE_TXT
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echo "$CSV_HEADER_LINE" > $OUTPUT_FILE_CSV
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@ -103,30 +115,32 @@ verify_ssh
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THROUGHPUT_CSV_HEADER_LINE="# message_size,message_count,PPS[msg/s],throughput[Mb/s]"
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# PUSH/PULL TCP throughput CSV file:
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TEST_ENDPOINT="$LOCAL_TEST_ENDPOINT"
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generate_output_file "local_thr" "remote_thr" \
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"pushpull_tcp_thr_results" \
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"100000" \
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"1000000" \
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"$THROUGHPUT_CSV_HEADER_LINE"
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# PUSH/PULL INPROC throughput CSV file:
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# NOTE: in this case there is no remote utility to run and no ENDPOINT to provide:
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TEST_ENDPOINT=""
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TEST_ENDPOINT="" # inproc does not require any endpoint
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generate_output_file "inproc_thr" "" \
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"pushpull_inproc_thr_results" \
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"1000000" \
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"10000000" \
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"$THROUGHPUT_CSV_HEADER_LINE"
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# PUB/SUB proxy INPROC throughput CSV file:
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# NOTE: in this case there is no remote utility to run and no ENDPOINT to provide:
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TEST_ENDPOINT=""
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TEST_ENDPOINT="" # inproc does not require any endpoint
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generate_output_file "proxy_thr" "" \
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"pubsubproxy_inproc_thr_results" \
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"1000000" \
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"10000000" \
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"$THROUGHPUT_CSV_HEADER_LINE"
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# REQ/REP TCP latency CSV file:
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# NOTE: in this case it's the remote_lat utility that prints out the data, so we swap the local/remote arguments to the bash func:
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TEST_ENDPOINT="$REMOTE_TEST_ENDPOINT"
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generate_output_file "remote_lat" "local_lat" \
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"reqrep_tcp_lat_results" \
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"10000" \
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@ -1,17 +1,24 @@
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#!/usr/bin/python
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#!/usr/bin/python3
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#
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# This script assumes that a CSV file produced by "generate_csv.sh" is provided as input
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# This script assumes that the set of CSV files produced by "generate_csv.sh" is provided as input
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# and that locally there is the "results" folder.
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#
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# configurable values:
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INPUT_FILE_PUSHPULL_TCP_THROUGHPUT="pushpull_tcp_thr_results.csv"
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INPUT_FILE_PUSHPULL_INPROC_THROUGHPUT="pushpull_inproc_thr_results.csv"
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INPUT_FILE_PUBSUBPROXY_INPROC_THROUGHPUT="pubsubproxy_inproc_thr_results.csv"
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INPUT_FILE_REQREP_TCP_LATENCY="reqrep_tcp_lat_results.csv"
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# results for TCP:
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INPUT_FILE_PUSHPULL_TCP_THROUGHPUT="results/pushpull_tcp_thr_results.csv"
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INPUT_FILE_REQREP_TCP_LATENCY="results/reqrep_tcp_lat_results.csv"
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TCP_LINK_GPBS=100
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# results for INPROC:
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INPUT_FILE_PUSHPULL_INPROC_THROUGHPUT="results/pushpull_inproc_thr_results.csv"
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INPUT_FILE_PUBSUBPROXY_INPROC_THROUGHPUT="results/pubsubproxy_inproc_thr_results.csv"
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# dependencies
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#
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# pip3 install matplotlib
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#
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import matplotlib.pyplot as plt
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import numpy as np
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@ -19,31 +26,48 @@ import numpy as np
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# functions
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def plot_throughput(csv_filename, title):
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def plot_throughput(csv_filename, title, is_tcp=False):
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message_size_bytes, message_count, pps, mbps = np.loadtxt(csv_filename, delimiter=',', unpack=True)
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plt.semilogx(message_size_bytes, pps / 1e6, label='PPS [Mmsg/s]', marker='x')
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plt.semilogx(message_size_bytes, mbps / 1e3, label='Throughput [Mb/s]', marker='o')
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fig, ax1 = plt.subplots()
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# PPS axis
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color = 'tab:red'
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ax1.set_xlabel('Message size [B]')
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ax1.set_ylabel('PPS [Mmsg/s]', color=color)
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ax1.semilogx(message_size_bytes, pps / 1e6, label='PPS [Mmsg/s]', marker='x', color=color)
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ax1.tick_params(axis='y', labelcolor=color)
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# GBPS axis
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color = 'tab:blue'
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ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis
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ax2.set_ylabel('Throughput [Gb/s]', color=color)
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ax2.semilogx(message_size_bytes, mbps / 1e3, label='Throughput [Gb/s]', marker='o')
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if is_tcp:
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ax2.set_yticks(np.arange(0, TCP_LINK_GPBS + 1, TCP_LINK_GPBS/10))
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ax2.tick_params(axis='y', labelcolor=color)
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ax2.grid(True)
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plt.xlabel('Message size [B]')
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plt.title(title)
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plt.legend()
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plt.show()
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fig.tight_layout() # otherwise the right y-label is slightly clippe
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plt.savefig(csv_filename.replace('.csv', '.png'))
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plt.show()
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def plot_latency(csv_filename, title):
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message_size_bytes, message_count, lat = np.loadtxt(csv_filename, delimiter=',', unpack=True)
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plt.semilogx(message_size_bytes, lat, label='Latency [us]', marker='o')
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plt.xlabel('Message size [B]')
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plt.ylabel('Latency [us]')
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plt.grid(True)
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plt.title(title)
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plt.legend()
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plt.show()
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plt.savefig(csv_filename.replace('.csv', '.png'))
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plt.show()
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# main
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plot_throughput(INPUT_FILE_PUSHPULL_TCP_THROUGHPUT, 'ZeroMQ PUSH/PULL socket throughput, TCP transport')
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plot_throughput(INPUT_FILE_PUSHPULL_TCP_THROUGHPUT, 'ZeroMQ PUSH/PULL socket throughput, TCP transport', is_tcp=True)
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plot_throughput(INPUT_FILE_PUSHPULL_INPROC_THROUGHPUT, 'ZeroMQ PUSH/PULL socket throughput, INPROC transport')
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plot_throughput(INPUT_FILE_PUBSUBPROXY_INPROC_THROUGHPUT, 'ZeroMQ PUB/SUB PROXY socket throughput, INPROC transport')
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plot_latency(INPUT_FILE_REQREP_TCP_LATENCY, 'ZeroMQ REQ/REP socket latency, TCP transport')
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