From d1832476c83801ff184864f2cdb2fe0295567e2c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Marc=20Clasc=C3=A0?= Date: Wed, 10 Jul 2024 20:27:45 +0200 Subject: [PATCH 1/2] Implemented startend nvtx in main script, with cfg --- cfgs/nvtx_startend.cfg | 46 ++++ nvtx_startend_test.ipynb | 393 ++++++++++++++++++++++++++++++++ parse-nsys-stats.py | 51 ++++- scripts/nvtx_startend_trace.sql | 51 +++++ 4 files changed, 538 insertions(+), 3 deletions(-) create mode 100644 cfgs/nvtx_startend.cfg create mode 100644 nvtx_startend_test.ipynb create mode 100644 scripts/nvtx_startend_trace.sql diff --git a/cfgs/nvtx_startend.cfg b/cfgs/nvtx_startend.cfg new file mode 100644 index 0000000..b88ebff --- /dev/null +++ b/cfgs/nvtx_startend.cfg @@ -0,0 +1,46 @@ +#ParaverCFG +ConfigFile.Version: 3.4 +ConfigFile.NumWindows: 1 +ConfigFile.BeginDescription + +ConfigFile.EndDescription + +################################################################################ +< NEW DISPLAYING WINDOW NVTX StartEnd Ranges > +################################################################################ +window_name NVTX StartEnd Ranges +window_type single +window_id 1 +window_position_x 671 +window_position_y 275 +window_width 922 +window_height 165 +window_comm_lines_enabled false +window_flags_enabled false +window_noncolor_mode true +window_custom_color_enabled false +window_semantic_scale_min_at_zero false +window_logical_filtered true +window_physical_filtered false +window_comm_fromto true +window_comm_tagsize true +window_comm_typeval true +window_units Nanoseconds +window_maximum_y 52.000000000000 +window_minimum_y 1.000000000000 +window_compute_y_max false +window_level thread +window_scale_relative 1.000000000000 +window_end_time_relative 1.000000000000 +window_object appl { 1, { All } } +window_begin_time_relative 0.000000000000 +window_open false +window_drawmode draw_maximum +window_drawmode_rows draw_last +window_pixel_size 1 +window_labels_to_draw 1 +window_selected_functions { 14, { {cpu, Active Thd}, {appl, Adding}, {task, Adding}, {thread, Last Evt Val}, {node, Adding}, {system, Adding}, {workload, Adding}, {from_obj, All}, {to_obj, All}, {tag_msg, All}, {size_msg, All}, {bw_msg, All}, {evt_type, =}, {evt_value, All} } } +window_compose_functions { 9, { {compose_cpu, As Is}, {compose_appl, As Is}, {compose_task, As Is}, {compose_thread, Stacked Val}, {compose_node, As Is}, {compose_system, As Is}, {compose_workload, As Is}, {topcompose1, As Is}, {topcompose2, As Is} } } +window_filter_module evt_type 1 9004 +window_filter_module evt_type_label 1 "Unknown" + diff --git a/nvtx_startend_test.ipynb b/nvtx_startend_test.ipynb new file mode 100644 index 0000000..89e3b33 --- /dev/null +++ b/nvtx_startend_test.ipynb @@ -0,0 +1,393 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import time\n", + "import subprocess\n", + "import os\n", + "import locale\n", + "import sqlite3\n", + "from sqlalchemy import create_engine\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "NSIGHT_HOME=\"/home/mclasca/Apps/nsight-system/2024.1\"\n", + "#NSIGHT_HOME = os.getenv('NSIGHT_HOME')\n", + "PARAVER_HOME = os.getenv('PARAVER_HOME')\n", + "NVTX_RANGE=\"step53\"\n", + "#REPORT_FILE = os.path.abspath(\"/home/mclasca/Documents/BePPP/heka/profiles/mistral-mn5/heka-axolotl-Mistral7B0.1-4s_withmetrics-2432719.nsys-rep\")\n", + "#REPORT_FILE = os.path.abspath(\"/home/mclasca/Documents/BePPP/traces/xshells/nsys/xshells.par.medium-1N_withmetrics.nsys-rep\")\n", + "REPORT_FILE = os.path.abspath(\"/home/mclasca/Documents/BePPP/traces/jesus/drive-download-20240628T123341Z-001/long-short.nsys-rep\")\n", + "REPORT_DIR = os.path.dirname(REPORT_FILE)\n", + "#REPORT_NAME=\"heka-step53+accum1-profile-2023.4-5721957\"\n", + "#REPORT_NAME=\"heka-axolotl-Mistral7B0.1-profile-2110598\"\n", + "\n", + "locale.setlocale(locale.LC_ALL, '')\n", + "\n", + "trace_name = \"test-xshells-metrics\"\n", + "event_type_kernels = 63000006\n", + "event_type_memcopy_size = 63000002\n", + "event_type_api = 63000000\n", + "event_type_nvtx = 9003\n", + "event_type_nvtx_startend = 9004\n", + "event_type_blkgrd_name = 9100\n", + "event_types_block_grid_values = [9101, 9102, 9103, 9104, 9105, 9106]\n", + "event_types_block_grid_values_names = ['GrdX', 'GrdY', 'GrdZ', 'BlkX', 'BlkY', 'BlkZ']\n", + "event_type_registers_thread = 9107\n", + "event_type_correlation = 9200\n", + "event_type_mpi = 9300\n", + "event_type_metrics_base = 9400\n", + "\n", + "comm_tag_launch = 55001\n", + "comm_tag_memory = 55002\n", + "comm_tag_dependency = 55003\n", + "\n", + "event_type_openacc = 66000000\n", + "event_type_openacc_data = 66000001\n", + "event_type_openacc_launch = 66000002\n", + "\n", + "event_type_name_openacc = 66100000\n", + "event_type_name_openacc_data = 66100001\n", + "event_type_name_openacc_launch = 66100002\n", + "\n", + "event_type_func_openacc = 66200000\n", + "event_type_func_openacc_data = 66200001\n", + "event_type_func_openacc_launch = 66200002\n", + "\n", + "event_type_openacc_data_size = 66300001\n", + "\n", + "nvtx_select_frames = True\n", + "nvtx_stack_top = 1\n", + "nvtx_stack_bottom = 4\n", + "\n", + "t_openacc = True\n", + "\n", + "reports = [\"nvtx_pushpop_trace\", \"cuda_api_trace\", \"cuda_gpu_trace\"]\n", + "\n", + "def build_nsys_stats_name(report_name):\n", + " base_name = os.path.splitext(os.path.basename(REPORT_FILE))[0]\n", + " return os.path.join(REPORT_DIR, base_name+\"_{}.csv\".format(report_name))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "engine = create_engine(f\"sqlite:///{os.path.splitext(REPORT_FILE)[0]}.sqlite\")\n", + "with engine.connect() as conn, conn.begin():\n", + " with open(os.path.join(os.path.dirname(__file__), 'scripts/nvtx_startend_trace.sql'), 'r') as query:\n", + " # connection == the connection to your database, in your case prob_db\n", + " nvtx_startend_ranges = pd.read_sql_query(query.read(), conn)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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connection == the connection to your database, in your case prob_db + nvtx_startend_df = pd.read_sql_query(query.read(), conn) + if t_mpi: mpi_df = pd.read_csv(build_nsys_stats_name("mpi_event_trace")) else: @@ -171,6 +184,7 @@ if t_metrics: if t_apicalls: print("CUDA calls unique processes: {}, and unique threads: {}".format(cuda_api_df["Pid"].unique(), cuda_api_df["Tid"].unique())) if t_nvtx: print("NVTX ranges unique processes: {}, and unique threads: {}".format(nvtx_df["PID"].unique(), nvtx_df["TID"].unique())) +if t_nvtx_startend: print("NVTX startend unique processes: {}, and unique threads: {}".format(nvtx_startend_df["Pid"].unique(), nvtx_startend_df["Tid"].unique())) if t_mpi: print("MPI ranges unique processes: {}, and unique threads: {}".format(mpi_df["Pid"].unique(), mpi_df["Tid"].unique())) if t_nvtx: nvtx_df.rename(columns={"PID":"Pid", "TID":"Tid"}, inplace=True) @@ -178,8 +192,10 @@ if t_nvtx: nvtx_df.rename(columns={"PID":"Pid", "TID":"Tid"}, inplace=True) compute_threads_with = [] if t_apicalls: compute_threads_with.append(cuda_api_df[['Pid', 'Tid']]) if t_nvtx: compute_threads_with.append(nvtx_df[["Pid", "Tid"]]) +if t_nvtx_startend: compute_threads_with.append(nvtx_startend_df[["Pid", "Tid"]]) if t_mpi: compute_threads_with.append(mpi_df[["Pid", "Tid"]]) + threads = pd.concat(compute_threads_with).drop_duplicates() threads.sort_values(["Pid"], inplace=True) threads["thread"] = threads.groupby(["Pid"]).cumcount() + 1 @@ -197,6 +213,8 @@ cuda_api_df["thread"] = 0 cuda_api_df["task"] = 0 nvtx_df["thread"] = 0 nvtx_df["task"] = 0 +nvtx_startend_df["thread"] = 0 +nvtx_startend_df["task"] = 0 mpi_df["thread"] = 0 mpi_df["task"] = 0 @@ -218,6 +236,10 @@ if t_nvtx: nvtx_df["thread"] = nvtx_df["Tid"].map(threads.set_index('Tid')["thread"]) nvtx_df["task"] = nvtx_df["Tid"].map(threads.set_index('Tid')["task"]) +if t_nvtx_startend: + nvtx_startend_df["thread"] = nvtx_startend_df["Tid"].map(threads.set_index('Tid')["thread"]) + nvtx_startend_df["task"] = nvtx_startend_df["Tid"].map(threads.set_index('Tid')["task"]) + if t_mpi: mpi_df["thread"] = mpi_df["Tid"].map(threads.set_index('Tid')["thread"]) mpi_df["task"] = mpi_df["Tid"].map(threads.set_index('Tid')["task"]) @@ -335,6 +357,12 @@ if t_nvtx: ranges_names = nvtx_df_subset[['event_value', 'Name']].drop_duplicates() ranges_names.sort_values("event_value", inplace=True) +if t_nvtx_startend: + nvtx_startend_df["event_value"] = nvtx_startend_df.groupby(["tag"]).ngroup() + 1 + nvtx_startend_names = nvtx_startend_df[['tag', 'event_value']].drop_duplicates() + nvtx_startend_names.sort_values("event_value", inplace=True) + nvtx_startend_names + print("-\tWriting pcf file...") @@ -437,13 +465,22 @@ if t_metrics: if t_nvtx: pcf_file.write("EVENT_TYPE\n") - pcf_file.write("0 {} NVTX ranges\n".format(event_type_nvtx)) + pcf_file.write("0 {} NVTX pushpop ranges\n".format(event_type_nvtx)) pcf_file.write("VALUES\n") pcf_file.write("0 End\n") for index, row in ranges_names.iterrows(): pcf_file.write("{} {}\n".format(row["event_value"], row["Name"])) pcf_file.write("\n") +if t_nvtx_startend: + pcf_file.write("EVENT_TYPE\n") + pcf_file.write("0 {} NVTX startend ranges\n".format(event_type_nvtx_startend)) + pcf_file.write("VALUES\n") + pcf_file.write("0 End\n") + for index, row in nvtx_startend_names.iterrows(): + pcf_file.write("{} {}\n".format(row["event_value"], row["tag"])) + pcf_file.write("\n") + pcf_file.close() # # Split of kernel execution between compute and memory @@ -508,6 +545,7 @@ applist = applist + ")" compute_max_with = [] if t_apicalls: compute_max_with.append((cuda_api_df["Start (ns)"] + cuda_api_df["Duration (ns)"]).max()) if t_nvtx: compute_max_with.append(nvtx_df["End (ns)"].max()) +if t_nvtx_startend: compute_max_with.append(nvtx_startend_df["end"].max()) if t_mpi: compute_max_with.append(mpi_df["End (ns)"].max()) ftime = max(compute_max_with) @@ -547,12 +585,19 @@ if t_apicalls: chunk = "" if t_nvtx: - print("-\tWriting NVTX ranges...") + print("-\tWriting NVTX pushpop ranges...") for index, row in nvtx_df_subset.iterrows(): chunk += create_event_record(row.iloc[0], row.iloc[2], int(row["thread"]), int(row["task"]), event_type_nvtx, row["event_value"]) prv_file.write(chunk) chunk = "" +if t_nvtx_startend: + print("-\tWriting NVTX startend ranges...") + for index, row in nvtx_startend_df.iterrows(): + chunk += create_event_record(row.iloc[0], row.iloc[2], int(row["thread"]), int(row["task"]), event_type_nvtx_startend, row["event_value"]) + prv_file.write(chunk) + chunk = "" + if t_mpi: print("-\tWriting MPI events...") for index, row in mpi_df.iterrows(): diff --git a/scripts/nvtx_startend_trace.sql b/scripts/nvtx_startend_trace.sql new file mode 100644 index 0000000..c52b66a --- /dev/null +++ b/scripts/nvtx_startend_trace.sql @@ -0,0 +1,51 @@ +WITH + domains AS ( + SELECT + min(start), + domainId AS id, + globalTid AS globalTid, + text AS name + FROM + NVTX_EVENTS + WHERE + eventType == 75 + GROUP BY 2, 3 + ), + maxts AS( + SELECT max(max(start), max(end)) AS m + FROM NVTX_EVENTS + ), + nvtx AS ( + SELECT + ne.start as start, + ne.end as end, + coalesce(ne.end, (SELECT m FROM maxts)) - ne.start AS duration, + CASE + WHEN d.name NOT NULL AND sid.value IS NOT NULL + THEN d.name || ':' || sid.value + WHEN d.name NOT NULL AND sid.value IS NULL + THEN d.name || ':' || ne.text + WHEN d.name IS NULL AND sid.value NOT NULL + THEN sid.value + ELSE ne.text + END AS tag, + (ne.globalTid / 0x1000000 % 0x1000000) as Pid, + (ne.globalTid % 0x1000000) as Tid + FROM + NVTX_EVENTS AS ne + LEFT OUTER JOIN + domains AS d + ON ne.domainId == d.id + AND (ne.globalTid & 0x0000FFFFFF000000) == (d.globalTid & 0x0000FFFFFF000000) + LEFT OUTER JOIN + StringIds AS sid + ON ne.textId == sid.id + WHERE + ne.eventType == 60 + OR + ne.eventType == 71 + ) +SELECT + * + FROM + nvtx \ No newline at end of file -- GitLab From b602c7c1898ab19250b55c4ac7413ec80005e899 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Marc=20Clasc=C3=A0?= Date: Mon, 15 Jul 2024 11:40:23 +0200 Subject: [PATCH 2/2] Disables default nvtx frame filtering --- parse-nsys-stats.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/parse-nsys-stats.py b/parse-nsys-stats.py index 2b02abf..ba94b6c 100755 --- a/parse-nsys-stats.py +++ b/parse-nsys-stats.py @@ -92,7 +92,7 @@ comm_tag_launch = 55001 comm_tag_memory = 55002 comm_tag_dependency = 55003 -nvtx_select_frames = True +nvtx_select_frames = False nvtx_stack_top = 1 nvtx_stack_bottom = 4 @@ -153,6 +153,8 @@ if t_nvtx_startend: with open(os.path.join(os.path.dirname(__file__), 'scripts/nvtx_startend_trace.sql'), 'r') as query: # connection == the connection to your database, in your case prob_db nvtx_startend_df = pd.read_sql_query(query.read(), conn) +else: + nvtx_startend_df = pd.DataFrame() if t_mpi: mpi_df = pd.read_csv(build_nsys_stats_name("mpi_event_trace")) -- GitLab