#!/bin/bash # Compare batch processing vs parallel profile processing on A100x4 # # Expected result: Batch should be significantly faster because: # - Turn-synchronous: ALL conversations processed at same turn together # - Maximizes vLLM continuous batching # - Fewer total HTTP requests set -e cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents source /u/yurenh2/miniforge3/etc/profile.d/conda.sh conda activate eval export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface export PYTHONPATH="${PWD}:${PWD}/../src:${PYTHONPATH}" MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct" PORT_USER=8004 PORT_AGENT=8003 echo "============================================" echo "Batch vs Parallel Processing Comparison" echo "============================================" date echo "Node: $(hostname)" nvidia-smi --query-gpu=index,name,memory.total --format=csv echo "" # Kill any existing vLLM servers pkill -f "vllm.entrypoints" 2>/dev/null || true sleep 2 # Start user simulator server (8B) on GPU 0-1 echo "Starting 8B user simulator server (GPU 0-1, TP=2)..." CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \ --model $MODEL_8B \ --port $PORT_USER \ --tensor-parallel-size 2 \ --gpu-memory-utilization 0.85 \ --max-model-len 4096 \ --disable-log-requests \ --dtype bfloat16 & SERVER_USER_PID=$! # Start agent server (8B) on GPU 2-3 echo "Starting 8B agent server (GPU 2-3, TP=2)..." CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \ --model $MODEL_8B \ --port $PORT_AGENT \ --tensor-parallel-size 2 \ --gpu-memory-utilization 0.85 \ --max-model-len 4096 \ --disable-log-requests \ --dtype bfloat16 & SERVER_AGENT_PID=$! echo "Waiting for servers (up to 5 min)..." # Wait for servers for i in $(seq 1 100); do READY_USER=$(curl -s http://localhost:$PORT_USER/health > /dev/null 2>&1 && echo 1 || echo 0) READY_AGENT=$(curl -s http://localhost:$PORT_AGENT/health > /dev/null 2>&1 && echo 1 || echo 0) if [ "$READY_USER" = "1" ] && [ "$READY_AGENT" = "1" ]; then echo "Both servers ready after $((i*3)) seconds" break fi if [ $((i % 20)) -eq 0 ]; then echo " Still waiting... user=$READY_USER, agent=$READY_AGENT ($((i*3))s)" fi sleep 3 done # Check health if ! curl -s http://localhost:$PORT_USER/health > /dev/null; then echo "ERROR: User server not healthy"; kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null; exit 1 fi if ! curl -s http://localhost:$PORT_AGENT/health > /dev/null; then echo "ERROR: Agent server not healthy"; kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null; exit 1 fi echo "✓ Both servers healthy" echo "" echo "============================================" echo "Test 1: NEW Batch Processing (20 samples)" echo "============================================" echo "This batches ALL user requests together, then ALL agent requests." echo "" START=$(date +%s) python agents/batch_vllm_agent.py \ http://localhost:$PORT_USER/v1 \ http://localhost:$PORT_AGENT/v1 \ 20 END=$(date +%s) ELAPSED_BATCH=$((END-START)) echo "" echo "Batch processing time: ${ELAPSED_BATCH} seconds" echo "" echo "============================================" echo "Test 2: OLD Parallel Profile Processing (20 samples)" echo "============================================" echo "This runs 20 profiles in parallel, but each makes separate requests." echo "" cd scripts START=$(date +%s) python run_experiments.py \ --methods vanilla \ --datasets mmlu \ --n-profiles 20 \ --n-sessions 1 \ --use-vllm \ --vllm-user-url http://localhost:$PORT_USER/v1 \ --vllm-agent-url http://localhost:$PORT_AGENT/v1 \ --parallel-profiles 20 \ --output-dir ../results/batch_compare_parallel \ --profile-path ../data/complex_profiles_v2/profiles_100.jsonl 2>&1 | tail -30 END=$(date +%s) ELAPSED_PARALLEL=$((END-START)) echo "" echo "Parallel profile processing time: ${ELAPSED_PARALLEL} seconds" cd .. # Cleanup echo "" echo "Cleaning up..." kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null || true echo "" echo "============================================" echo "RESULTS COMPARISON" echo "============================================" echo "" echo "NEW Batch processing (20 conv): ${ELAPSED_BATCH}s" echo "OLD Parallel profiles (20 conv): ${ELAPSED_PARALLEL}s" echo "" if [ $ELAPSED_BATCH -gt 0 ]; then SPEEDUP=$(echo "scale=2; $ELAPSED_PARALLEL / $ELAPSED_BATCH" | bc) echo "Speedup with batch processing: ${SPEEDUP}x" fi echo "" echo "Expected: Batch should be 5-10x faster due to:" echo " - Turn-synchronous processing (all convs at same turn batched)" echo " - Fewer HTTP request overhead" echo " - Better vLLM continuous batching utilization" echo "" date