[GLUTEN-7641][VL] Add perf analysis scripts for TPCH workload

tools/workload/benchmark_velox/README.md

@@ -36,3 +36,23 @@ We also provide a script [run_tpc_workload.sh](./run_tpc_workload.sh). This scri
 ## Analyzing Performance Results
 
 You can check the **Show Performance** section in the output notebook after execution. It shows the cpu% per query, and draws charts for the cpu%, memory throughput, disk throughput/util%, network throughput and pagefaults.
+
+## Set up Performance Analysis Tools
+
+Please check the **Set up perf analysis tools (optional)** section in [initialize.ipynb](./initialize.ipynb) to set up the environment required for running performance analysis scripts. Once the setup is complete, update the following variables in your YAML file (as documented in [params.yaml.template](./params.yaml.template)) before running TPC-H/TPC-DS Benchmarks:
+
+- server: Hostname or IP to server for perf analysis. Able to connect via ssh. Can be localhost if you deploy the perf analysis scripts on the local cluster.
+- base_dir: Specify the directory on perf analysis server. Usually a codename for this run.
+- analyze_perf: Whether to upload profile to perf analysis server and run perf analysis scripts. Only takes effect if server is set. In this case set to `True`
+- proxy: Proxy used to connect to server for perf analysis. Only needed if the perf analysis server is accessed via proxy.
+
+After the workload completes, the tool generates a notebook, executes it automatically, and saves the output notebook in the `$HOME/PAUS/base_dir` directory with a suffix of `[APPLICATION ID].nbconvert.ipynb`. Additionally, the output notebook is converted into an HTML format for improved readability, with the same filename, and stored in the `html` sub-folder.
+
+The notebook also produces a trace-viewer JSON file to analyze workload statistics. This includes SAR metrics and stage/task-level breakdowns. Using this tool, users can compare statistics across stages and queries, identify performance bottlenecks, and target specific stages for optimization.
+
+If you have set up and launched Catapult trace-viewer server (refer to the **Set up perf analysis tools (optional)** section in [initialize.ipynb](./initialize.ipynb)), you can explore a sample trace-viewer JSON file. To do so: 
+
+1. Copy the sample file [trace_result_tpch_q1.json](./sample/trace_result_tpch_q1.json) to the `$HOME/trace_result` directory
+2. Open the following link in your browser to view the results: http://[your-host-ip]:1088/tracing_examples/trace_viewer.html#/tracing/test_data/trace_result_tpch_q1.json
+
+This visualization helps to better understand performance metrics and optimize accordingly.