yy-fighting 5d1cd9c266 feat: add vLLM+DSpark vs vLLM-default TTFT comparison experiment
- New experiments/dsv4_h200_vllm_dspark_vs_default/
- start_dspark.sh: vllm serve with --spec-method dspark --spec-tokens 5
- start_default.sh: plain vllm serve baseline
- Unified scenario matrix (512/4000 input, 1/32/128 concurrency)
- parse_backend.py + compare.py focused on TTFT differences
- README.md + root README entries
2026-07-08 08:15:02 +00:00

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#!/usr/bin/env bash
# vLLM+DSpark vs vLLM default controlled comparison on H200.
set -Eeuo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
EXPERIMENT_NAME="$(basename "$SCRIPT_DIR")"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../scripts/common/lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../scripts/common/platform.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/config.env"
RUN_ID="${RUN_ID:-$(date '+%Y%m%d-%H%M%S')}"
RESULT_BASE="${SCRIPT_DIR}/results"
log_dir_global="${RESULT_BASE}/${RUN_ID}/logs"
mkdir -p "$log_dir_global"
log_init "${log_dir_global}/orchestrator.log"
log "experiment=${EXPERIMENT_NAME}"
log "run_id=${RUN_ID}"
log "platform=${PLATFORM}"
log "hardware=${HARDWARE}"
log "dspark_model=${DSPARK_MODEL_PATH}"
log "default_model=${DEFAULT_MODEL_PATH}"
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
is_server_healthy() {
local port="$1"
curl --fail --silent --show-error --max-time 5 "http://127.0.0.1:${port}/health" >/dev/null 2>&1
}
stop_server() {
local backend="$1"
local pid_file="/data/user1/yy/${EXPERIMENT_NAME}_${backend}.pid"
if [[ -f "$pid_file" ]]; then
local pid
pid="$(cat "$pid_file")"
if kill -0 "$pid" 2>/dev/null; then
log "stopping ${backend} server pid=${pid}"
kill "$pid" 2>/dev/null || true
sleep 5
kill -9 "$pid" 2>/dev/null || true
fi
rm -f "$pid_file"
fi
sleep 2
}
start_server() {
local backend="$1"
local start_script port
if [[ "$backend" == "dspark" ]]; then
start_script="${DSPARK_START_SCRIPT}"
port="$DSPARK_PORT"
else
start_script="${DEFAULT_START_SCRIPT}"
port="$DEFAULT_PORT"
fi
log "starting ${backend} server with ${start_script}"
bash "${start_script}" >> "${log_dir_global}/${backend}.server.outer.log" 2>&1
if ! is_server_healthy "$port"; then
log "error: ${backend} server failed to become healthy"
return 1
fi
log "${backend} server is healthy on port ${port}"
}
run_warmup() {
local backend="$1"
local port
if [[ "$backend" == "dspark" ]]; then
port="$DSPARK_PORT"
else
port="$DEFAULT_PORT"
fi
log "warming up ${backend} (input=4000, output=512, num=2)"
"${VENV_CLIENT}/bin/python" -m sglang.bench_serving \
--backend vllm \
--host 127.0.0.1 \
--port "$port" \
--dataset-name random \
--random-input-len 4000 \
--random-output-len 512 \
--num-prompts 2 \
--max-concurrency 1 \
--request-rate 10000 \
--output-file /tmp/${EXPERIMENT_NAME}_${backend}_warmup.jsonl \
--output-details \
> "${log_dir_global}/${backend}.warmup.log" 2>&1 || true
log "warmup for ${backend} completed"
}
run_benchmark() {
local backend="$1"
local result_root="${RESULT_BASE}/${RUN_ID}/${backend}"
local raw_dir="${result_root}/raw_outputs"
local bench_log_dir="${result_root}/logs"
mkdir -p "$raw_dir" "$bench_log_dir"
local port
if [[ "$backend" == "dspark" ]]; then
port="$DSPARK_PORT"
else
port="$DEFAULT_PORT"
fi
log "===== ${backend} BENCHMARK START ====="
stop_server "$backend"
start_server "$backend"
run_warmup "$backend"
for scenario in "${SCENARIOS[@]}"; do
read -r concurrency input_len output_len num_prompts <<< "$scenario"
output_file="${raw_dir}/${backend}_$(date '+%m%d')_${concurrency}_${input_len}_${output_len}.jsonl"
detail_log="${bench_log_dir}/${backend}_c${concurrency}_i${input_len}_o${output_len}.log"
log "running ${backend} scenario: c=${concurrency} i=${input_len} o=${output_len} n=${num_prompts}"
"${VENV_CLIENT}/bin/python" -m sglang.bench_serving \
--backend vllm \
--host 127.0.0.1 \
--port "$port" \
--dataset-name random \
--random-input-len "$input_len" \
--random-output-len "$output_len" \
--num-prompts "$num_prompts" \
--max-concurrency "$concurrency" \
--request-rate 10000 \
--output-file "$output_file" \
--output-details \
> "$detail_log" 2>&1 || {
log "ERROR: ${backend} scenario c=${concurrency} i=${input_len} o=${output_len} failed; see ${detail_log}"
continue
}
log "finished ${backend} scenario: output=${output_file}"
done
stop_server "$backend"
log "===== ${backend} BENCHMARK DONE ====="
}
parse_backend() {
local backend="$1"
local result_root="${RESULT_BASE}/${RUN_ID}/${backend}"
log "parsing ${backend} results in ${result_root}"
"${VENV_CLIENT}/bin/python" "${SCRIPT_DIR}/parse_backend.py" "$result_root" --backend "$backend" \
>> "${result_root}/logs/parse.log" 2>&1 || {
log "WARNING: parser failed for ${backend}; see ${result_root}/logs/parse.log"
}
}
write_backend_metadata() {
local backend="$1"
local result_root="${RESULT_BASE}/${RUN_ID}/${backend}"
ensure_result_root "$result_root"
local meta_json="${result_root}/results.json"
local model_path env_path engine
if [[ "$backend" == "dspark" ]]; then
model_path="$DSPARK_MODEL_PATH"
env_path="$VENV_VLLM_DSPARK"
engine="vllm-dspark"
else
model_path="$DEFAULT_MODEL_PATH"
env_path="$VENV_VLLM"
engine="vllm-default"
fi
write_metadata_json \
"$meta_json" \
"${EXPERIMENT_NAME}_${backend}" \
"$RUN_ID" \
"$model_path" \
"vllm" \
"$engine" \
"$HARDWARE" \
"$ACCELERATOR" \
"$CHIP" \
"experiments/${EXPERIMENT_NAME}/run_bench.sh" \
"$env_path" \
"H200 ${engine} TP=8 benchmark for TTFT comparison"
# Embed config.
"${VENV_CLIENT}/bin/python" - "$meta_json" "$backend" <<'PY'
import json
import sys
path, backend = sys.argv[1], sys.argv[2]
with open(path, "r", encoding="utf-8") as f:
data = json.load(f)
data["config"] = {
"tp": 8,
"cuda_visible_devices": "0,1,2,3,4,5,6,7",
"max_model_len": 32768,
"max_num_seqs": 256,
"backend": backend,
}
with open(path, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
PY
}
# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------
# Cleanup.
stop_server dspark
stop_server default
write_backend_metadata dspark
write_backend_metadata default
# Run DSpark.
run_benchmark dspark
parse_backend dspark
# Run default vLLM.
run_benchmark default
parse_backend default
# Generate comparison.
log "generating comparison report"
"${VENV_CLIENT}/bin/python" "${SCRIPT_DIR}/compare.py" \
--dspark "${RESULT_BASE}/${RUN_ID}/dspark" \
--default "${RESULT_BASE}/${RUN_ID}/default" \
--output "${RESULT_BASE}/${RUN_ID}/comparison.md" \
>> "${log_dir_global}/compare.log" 2>&1 || {
log "WARNING: comparison script failed; see ${log_dir_global}/compare.log"
}
log "all results saved to ${RESULT_BASE}/${RUN_ID}"