diff --git a/cbutil/likwid_parser.py b/cbutil/likwid_parser.py
new file mode 100644
index 0000000000000000000000000000000000000000..6f3150a75f7d3f9ac8fa51e9d01738f498f2e112
--- /dev/null
+++ b/cbutil/likwid_parser.py
@@ -0,0 +1,71 @@
+from typing import List, Dict, Any
+from cbutil.postprocessing.plain_text import json2dict
+from cbutil.util import get_from_nested_dict
+
+
+def get_stat_sub_dict(data: Dict[str, Any], performance_group: str) -> Dict[str, Any]:
+ """
+ Given a dictionary of data and the performance group name, returns the sub-dictionary containing the metric STAT.
+
+ Args:
+ data (Dict[str, Any]): A dictionary of data from a Likwid JSON file.
+ performance_group (str): The name of the performance group to extract the sub-dictionary from.
+
+ Returns:
+ Dict[str, Any]: The sub-dictionary containing the metric STAT.
+ """
+
+ return get_from_nested_dict(data, [performance_group, performance_group, 'Metric STAT'])
+
+
+def extract_metric_value(metric_stat: Dict[str, Any], keys: List[str], suffix: str) -> Dict[str, Any]:
+ """
+ Given the metric STAT sub-dictionary, a list of keys, and a suffix string, returns a dictionary with the key-suffix
+ pairs from the metric STAT sub-dictionary.
+
+ Args:
+ metric_stat (Dict[str, Any]): The sub-dictionary containing the metric STAT.
+ keys (List[str]): The list of keys to extract the key-suffix pairs from.
+ suffix (str): The suffix string to append to each key in the returned dictionary.
+
+ Returns:
+ Dict[str, Any]: The dictionary containing the key-suffix pairs extracted from the metric STAT sub-dictionary.
+ """
+
+ return {
+ f'{key} {suffix}': get_from_nested_dict(metric_stat, [key, suffix])
+ for key in keys
+ }
+
+
+def parse_likwid_json(file: str,
+ performance_group: str,
+ *,
+ sum_keys: List[str],
+ avg_keys: List[str] = [],
+ min_keys: List[str] = [],
+ max_keys: List[str] = []) -> Dict[str, Any]:
+ """
+ Given the path to a Likwid JSON file, the name of the performance group, and a set of metric keys, returns a
+ dictionary containing the extracted metric values.
+
+ Args:
+ file (str): The path to the Likwid JSON file.
+ performance_group (str): The name of the performance group to extract the metric values from.
+ sum_keys (List[str]): The list of metric keys to extract the sum values for.
+ avg_keys (List[str], optional): The list of metric keys to extract the average values for. Defaults to [].
+ min_keys (List[str], optional): The list of metric keys to extract the minimum values for. Defaults to [].
+ max_keys (List[str], optional): The list of metric keys to extract the maximum values for. Defaults to [].
+
+ Returns:
+ Dict[str, Any]: A dictionary containing the extracted metric values, with keys of the form "key suffix" (e.g.
+ "cycles Sum", "L3 cache hit ratio Avg", etc.).
+ """
+
+ parsed_data = {}
+ data = json2dict(file)
+
+ metric_stat = get_stat_sub_dict(data, performance_group)
+ for keys, suffix in [(sum_keys, 'Sum'), (avg_keys, 'Avg'), (min_keys, 'Min'), (max_keys, 'Max')]:
+ parsed_data.update(extract_metric_value(metric_stat, keys, suffix))
+ return parsed_data
diff --git a/tests/likwid_MEM_DP_fe2ti216bddc_skylakesp2_pardiso_80_1_10_1e-8.json b/tests/likwid_MEM_DP_fe2ti216bddc_skylakesp2_pardiso_80_1_10_1e-8.json
new file mode 100644
index 0000000000000000000000000000000000000000..51a491dd9050f9bce6d0f26219e84223acb960f0
--- /dev/null
+++ b/tests/likwid_MEM_DP_fe2ti216bddc_skylakesp2_pardiso_80_1_10_1e-8.json
@@ -0,0 +1,3743 @@
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diff --git a/tests/test_likwid_parser.py b/tests/test_likwid_parser.py
new file mode 100644
index 0000000000000000000000000000000000000000..9f8ae432683d32d1dd3433e96deaa9e06e48056d
--- /dev/null
+++ b/tests/test_likwid_parser.py
@@ -0,0 +1,101 @@
+import json
+import tempfile
+import os
+import pytest
+
+from cbutil.likwid_parser import parse_likwid_json
+
+
+def test_parse_likwid_json():
+ # create temporary file with sample JSON data
+ with tempfile.NamedTemporaryFile(mode='w', delete=False) as tmp_file:
+ data = {
+ "Performance group": {
+ "Performance group":
+ {
+ "Metric STAT": {
+ "metric1": {
+ "Sum": 10,
+ "Avg": 5,
+ "Min": 2,
+ "Max": 8
+ },
+ "metric2": {
+ "Sum": 20,
+ "Avg": 10,
+ "Min": 5,
+ "Max": 15
+ }
+ }
+ }}
+ }
+ json.dump(data, tmp_file)
+ tmp_file.flush()
+
+ # test case 1: all keys specified
+ expected_output = {
+ "metric1 Sum": 10,
+ "metric2 Sum": 20,
+ "metric1 Avg": 5,
+ "metric2 Avg": 10,
+ "metric1 Min": 2,
+ "metric2 Min": 5,
+ "metric1 Max": 8,
+ "metric2 Max": 15
+ }
+ assert parse_likwid_json(tmp_file.name,
+ "Performance group",
+ sum_keys=["metric1", "metric2"],
+ avg_keys=["metric1", "metric2"],
+ min_keys=["metric1", "metric2"],
+ max_keys=["metric1", "metric2"]) == expected_output
+
+ # test case 2: only sum keys specified
+ expected_output = {
+ "metric1 Sum": 10,
+ "metric2 Sum": 20
+ }
+ assert parse_likwid_json(tmp_file.name,
+ "Performance group",
+ sum_keys=["metric1", "metric2"]) == expected_output
+
+ # cleanup temporary file
+ os.unlink(tmp_file.name)
+
+
+def test_parse_likwid_json_fail():
+ with pytest.raises(FileNotFoundError):
+ parse_likwid_json("invalid_file.json", "Performance group", sum_keys=["metric1"])
+
+
+def test_parse_likwid_json_real_data():
+ test_data = "tests/likwid_MEM_DP_fe2ti216bddc_skylakesp2_pardiso_80_1_10_1e-8.json"
+ sum_keys = ['AVX DP [MFLOP/s] STAT',
+ 'CPI STAT',
+ 'DP [MFLOP/s] STAT',
+ 'Energy DRAM [J] STAT',
+ 'Energy [J] STAT',
+ 'Memory bandwidth [MBytes/s] STAT',
+ 'Memory data volume [GBytes] STAT',
+ 'Memory read bandwidth [MBytes/s] STAT',
+ 'Memory read data volume [GBytes] STAT',
+ 'Memory write bandwidth [MBytes/s] STAT',
+ 'Memory write data volume [GBytes] STAT',
+ 'Operational intensity STAT',
+ 'Packed [MUOPS/s] STAT',
+ 'Power DRAM [W] STAT',
+ 'Power [W] STAT',
+ 'Scalar [MUOPS/s] STAT']
+ avg_keys = ['Runtime (RDTSC) [s] STAT',
+ 'Clock [MHz] STAT',
+ 'DP [MFLOP/s] STAT',
+ ]
+ min_keys = ['Clock [MHz] STAT',
+ 'DP [MFLOP/s] STAT', ]
+ max_keys = min_keys
+ parse_likwid_json(test_data,
+ "MEM_DP",
+ sum_keys=sum_keys,
+ avg_keys=avg_keys,
+ min_keys=min_keys,
+ max_keys=max_keys)