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diff --git a/scripts/run_speedup_benchmark.sbatch b/scripts/run_speedup_benchmark.sbatch
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+#!/bin/bash
+#SBATCH --job-name=lyap_speedup
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuA40x4
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=4
+#SBATCH --gpus-per-node=1
+#SBATCH --mem=32G
+#SBATCH --time=01:00:00
+#SBATCH --output=runs/slurm_logs/%j_speedup.out
+#SBATCH --error=runs/slurm_logs/%j_speedup.err
+
+# ============================================================
+# Lyapunov Computation Speedup Benchmark
+# ============================================================
+# Tests different optimization approaches:
+# - Baseline: Current sequential implementation
+# - Approach A: Trajectory-as-batch (P=2)
+# - Approach B: Global-norm divergence + single-scale renorm
+# - Approach C: torch.compile
+# - Combined: All optimizations together
+# ============================================================
+
+set -e
+
+PROJECT_DIR="/projects/bfqt/users/yurenh2/ml-projects/snn-training"
+cd "$PROJECT_DIR"
+
+mkdir -p runs/slurm_logs
+
+echo "============================================================"
+echo "Lyapunov Speedup Benchmark"
+echo "Job ID: $SLURM_JOB_ID | Node: $SLURM_NODELIST"
+echo "Start: $(date)"
+echo "============================================================"
+nvidia-smi --query-gpu=name,memory.total --format=csv,noheader
+echo "============================================================"
+
+# Run main benchmark + scaling tests
+python files/experiments/lyapunov_speedup_benchmark.py \
+    --batch_size 64 \
+    --T 4 \
+    --hidden_dims 64 128 256 \
+    --scaling
+
+echo "============================================================"
+echo "Finished: $(date)"
+echo "============================================================"