diff --git a/scripts/tacc_to_csv.py b/scripts/tacc_to_csv.py
new file mode 100644
index 0000000..d5ca6ed
--- /dev/null
+++ b/scripts/tacc_to_csv.py
@@ -0,0 +1,50 @@
+# SPDX-License-Identifier: BSD-2-Clause
+# Copyright (c) 2023. University of Texas at Austin. All rights reserved.
+
+import os
+import re
+from pathlib import Path
+import pandas as pd
+
+data_dir = Path(os.environ["SCRATCH"]) / "scea" / "graph-log-sketch" / "data"
+datasets = os.listdir(data_dir)
+print("datasets:", " ".join(datasets))
+
+df = pd.DataFrame(columns=["Dataset", "Algorithm", "Graph", "Threads", "Batch", "Stage", "Duration (ns)", "Max RSS (KB)", "Cache Misses", "Cache References", "Instructions"])
+
+
+for dataset in datasets:
+    print("processing", dataset)
+    dataset_dir = data_dir / dataset
+    algos = os.listdir(dataset_dir)
+    print("> algos:", " ".join(algos))
+
+    for algo in algos:
+        algo_dir = dataset_dir / algo
+        for file in os.listdir(algo_dir):
+            if file.endswith(".out"):
+                graph = re.search("g=(lscsr|adj|lccsr)", file).group(1)
+                threads = re.search("t=(\d+)", file).group(1)
+                print("> > processing", algo_dir / file)
+                with open(algo_dir / file) as f:
+                    contents = f.read()
+                    for m in re.findall("Benchmark results for (Ingestion|Post-ingest|Algorithm) for Batch (\d+):\nDuration: (\d+) nanoseconds\nMax RSS: (\d+) KB\nCache Misses: (\d+)\nCache References: (\d+)\nInstructions: (\d+)", contents, re.MULTILINE):
+                        stage, batch, duration, max_rss, cache_misses, cache_references, instructions = m
+                        df = df.append(
+                            {
+                                "Dataset": dataset,
+                                "Algorithm": algo,
+                                "Graph": graph,
+                                "Threads": threads,
+                                "Batch": batch,
+                                "Stage": stage,
+                                "Duration (ns)": duration,
+                                "Max RSS (KB)": max_rss,
+                                "Cache Misses": cache_misses,
+                                "Cache References": cache_references,
+                                "Instructions": instructions,
+                            },
+                            ignore_index=True
+                        )
+
+df.to_csv('data.csv', index=False)