SSKJ Dev a4e38b9e33 Reorganize experiments into hardware-specific subdirectories
Move all experiments under hardware-specific folders:
- experiments/h200/     : H200 GPU experiments (15 dirs)
- experiments/h20/      : H20 GPU experiments (2 dirs)
- experiments/p800/     : Kunlun P800 experiments (3 dirs)
- experiments/pro6000/    : RTX 6000D experiments (2 dirs)

This improves discoverability and keeps hardware-specific configs
isolated from each other.
2026-07-16 04:11:07 +00:00

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#!/usr/bin/env bash
# Long-context matrix: SGLang vs vLLM on DeepSeek-V4-Flash (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="${SCRIPT_DIR}/results"
# Comma-separated list of backends to run. Default: sglang,vllm,dspark.
BACKENDS="${BACKENDS:-sglang,vllm,dspark}"
backend_enabled() {
local backend="$1"
[[ ",${BACKENDS}," == *",${backend},"* ]]
}
log_dir_global="${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=${HARDWARE}"
log "model=${MODEL_PATH}"
log "groups=${#CONTEXT_GROUPS[@]}"
# ---------------------------------------------------------------------------
# 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="$1"
local pid_file="/data/user1/yy/dsv4_h200_long_context_matrix_${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 "$pid_file"
fi
# Fallback cleanup.
if [[ "$backend" == "sglang" ]]; then
pkill -9 -f "sglang serve.*DeepSeek-V4-Flash" 2>/dev/null || true
elif [[ "$backend" == "dspark" ]]; then
pkill -9 -f "vllm serve.*DeepSeek-V4-Flash-DSpark" 2>/dev/null || true
else
pkill -9 -f "vllm serve.*DeepSeek-V4-Flash" 2>/dev/null || true
fi
sleep 2
}
start_server() {
local backend="$1"
local max_model_len="$2"
local max_slots="$3"
local start_script port
if [[ "$backend" == "sglang" ]]; then
start_script="${SGLANG_START_SCRIPT}"
port="$SGLANG_PORT"
elif [[ "$backend" == "dspark" ]]; then
start_script="${DSPARK_START_SCRIPT}"
port="$DSPARK_PORT"
else
start_script="${VLLM_START_SCRIPT}"
port="$VLLM_PORT"
fi
log "starting ${backend} server (max_model_len=${max_model_len}, slots=${max_slots}) with ${start_script}"
bash "${start_script}" "$max_model_len" "$max_slots" >> "${log_dir_global}/${backend}_${max_model_len}.server.outer.log" 2>&1
if ! is_server_healthy "$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 input_len="$2"
local output_len="${3:-256}"
local port
if [[ "$backend" == "sglang" ]]; then
port="$SGLANG_PORT"
elif [[ "$backend" == "dspark" ]]; then
port="$DSPARK_PORT"
else
port="$VLLM_PORT"
fi
log "warming up ${backend} (input=${input_len}, output=${output_len}, num=1)"
"${VENV_CLIENT}/bin/python" "${SCRIPT_DIR}/../../scripts/common/warmup.py" \
--backend vllm \
--port "$port" \
--input-len "$input_len" \
--output-len "$output_len" \
--num 1 \
--env-python "${VENV_CLIENT}/bin/python" \
>> "${log_dir_global}/${backend}.warmup.log" 2>&1
log "warmup for ${backend} completed"
}
scenario_already_completed() {
local output_file="$1"
local expected="$2"
[[ -s "$output_file" ]] || return 1
local completed
completed="$(${VENV_CLIENT}/bin/python -c "
import json, sys
path = sys.argv[1]
try:
with open(path, 'r', encoding='utf-8') as f:
for line in f:
line = line.strip()
if line:
data = json.loads(line)
print(data.get('completed', 0))
break
except Exception:
print(0)
" "$output_file")"
[[ "${completed:-0}" -ge "$expected" ]]
}
run_group() {
local backend="$1"
local group_label="$2"
local max_model_len="$3"
local max_slots="$4"
local -n scenarios_ref="$5"
local result_root="${RESULT_BASE}/${RUN_ID}/${backend}"
local raw_dir="${result_root}/raw_outputs"
local phase_log_dir="${result_root}/logs"
mkdir -p "$raw_dir" "$phase_log_dir"
local port
if [[ "$backend" == "sglang" ]]; then
port="$SGLANG_PORT"
elif [[ "$backend" == "dspark" ]]; then
port="$DSPARK_PORT"
else
port="$VLLM_PORT"
fi
log "===== ${backend} ${group_label} START (max_model_len=${max_model_len}) ====="
stop_server "$backend"
if ! start_server "$backend" "$max_model_len" "$max_slots"; then
log "ERROR: ${backend} failed to start for ${group_label}; skipping group"
stop_server "$backend"
return 1
fi
# Warmup with the shortest output for this input length to save time.
local warmup_input="${scenarios_ref[0]}"
local warmup_input_len
warmup_input_len="$(echo "$warmup_input" | awk '{print $2}')"
run_warmup "$backend" "$warmup_input_len" 256
# Bench client backend: DSpark is served by vLLM API, so use vllm client.
local client_backend="$backend"
if [[ "$backend" == "dspark" ]]; then
client_backend="vllm"
fi
# Output filename prefix: DSpark raw files must start with "vllm_" so that
# scripts/common/parse_backend.py (which only knows sglang/vllm) can parse them.
local file_prefix="${backend}"
if [[ "$backend" == "dspark" ]]; then
file_prefix="vllm_dspark"
fi
for scenario in "${scenarios_ref[@]}"; do
read -r concurrency input_len output_len num_prompts <<< "$scenario"
output_file="${raw_dir}/${file_prefix}_${group_label}_$(date '+%m%d')_${concurrency}_${input_len}_${output_len}.jsonl"
detail_log="${phase_log_dir}/${backend}_${group_label}_c${concurrency}_i${input_len}_o${output_len}.log"
if scenario_already_completed "$output_file" "$num_prompts"; then
log "skipping already-completed ${backend} ${group_label} scenario: c=${concurrency} i=${input_len} o=${output_len}"
continue
fi
log "running ${backend} ${group_label} scenario: c=${concurrency} i=${input_len} o=${output_len} n=${num_prompts}"
"${VENV_CLIENT}/bin/python" -m sglang.bench_serving \
--backend "$client_backend" \
--host 127.0.0.1 \
--port "$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} ${group_label} scenario c=${concurrency} i=${input_len} o=${output_len} failed; see ${detail_log}"
continue
}
log "finished ${backend} ${group_label} scenario: output=${output_file}"
done
stop_server "$backend"
log "===== ${backend} ${group_label} DONE ====="
}
parse_backend() {
local backend="$1"
local result_root="${RESULT_BASE}/${RUN_ID}/${backend}"
# parse_backend.py only knows sglang/vllm; DSpark raw files use vllm client format.
local parser_backend="$backend"
if [[ "$backend" == "dspark" ]]; then
parser_backend="vllm"
fi
log "parsing ${backend} results in ${result_root} (parser_backend=${parser_backend})"
"${VENV_CLIENT}/bin/python" "${SCRIPT_DIR}/../../scripts/common/parse_backend.py" "$result_root" --backend "$parser_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 env_path model_path engine_name
if [[ "$backend" == "sglang" ]]; then
env_path="$VENV_SGLANG"
model_path="$MODEL_PATH"
engine_name="sglang"
elif [[ "$backend" == "dspark" ]]; then
env_path="$VENV_VLLM_DSPARK"
model_path="$DSPARK_MODEL_PATH"
engine_name="vllm-dspark"
else
env_path="$VENV_VLLM"
model_path="$MODEL_PATH"
engine_name="vllm"
fi
write_metadata_json \
"$meta_json" \
"${EXPERIMENT_NAME}_${backend}" \
"$RUN_ID" \
"$model_path" \
"${backend}" \
"$engine_name" \
"$HARDWARE" \
"$ACCELERATOR" \
"$CHIP" \
"experiments/${EXPERIMENT_NAME}/run_bench.sh" \
"$env_path" \
"H200 long-context matrix ${backend} TP=8 for DeepSeek-V4-Flash"
# Embed config.
jq --arg backend "$backend" \
'.config = {
"tp": 8,
"cuda_visible_devices": "0,1,2,3,4,5,6,7",
"backend": $backend,
"server_start_script": "experiments/dsv4_h200_long_context_matrix/start_\($backend).sh",
"groups": [
{"label": "64k", "max_model_len": 80000, "max_slots": 25},
{"label": "128k", "max_model_len": 140000, "max_slots": 10},
{"label": "256k", "max_model_len": 270000, "max_slots": 10}
]
}' "$meta_json" > "${meta_json}.tmp" && mv "${meta_json}.tmp" "$meta_json"
}
# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------
# Cleanup any leftovers.
for backend in sglang vllm dspark; do
backend_enabled "$backend" && stop_server "$backend"
done
for backend in sglang vllm dspark; do
backend_enabled "$backend" && write_backend_metadata "$backend"
done
for group in "${CONTEXT_GROUPS[@]}"; do
read -r group_label max_model_len max_slots <<< "$group"
# Resolve scenario array for this group.
scenario_array_name="SCENARIOS_${group_label^^}"
if [[ -z "${!scenario_array_name:-}" ]]; then
log "WARNING: no scenarios defined for group ${group_label}"
continue
fi
for backend in sglang vllm dspark; do
backend_enabled "$backend" && run_group "$backend" "$group_label" "$max_model_len" "$max_slots" "$scenario_array_name"
done
done
# Parse and compare.
for backend in sglang vllm dspark; do
backend_enabled "$backend" && parse_backend "$backend"
done
if backend_enabled sglang && backend_enabled vllm && backend_enabled dspark; then
log "generating three-way comparison report"
"${VENV_CLIENT}/bin/python" "${SCRIPT_DIR}/compare.py" \
--sglang "${RESULT_BASE}/${RUN_ID}/sglang" \
--vllm "${RESULT_BASE}/${RUN_ID}/vllm" \
--dspark "${RESULT_BASE}/${RUN_ID}/dspark" \
--output "${RESULT_BASE}/${RUN_ID}/comparison.md" \
>> "${log_dir_global}/compare.log" 2>&1 || {
log "WARNING: comparison script failed; see ${log_dir_global}/compare.log"
}
else
log "skipping three-way comparison (not all backends enabled: BACKENDS=${BACKENDS})"
fi
log "all results saved to ${RESULT_BASE}/${RUN_ID}"