1 files changed, 46 insertions, 0 deletions
diff --git a/src/benchmarks/larson.py b/src/benchmarks/larson.py
new file mode 100644
index 0000000..e070b7b
--- /dev/null
+++ b/src/benchmarks/larson.py
@@ -0,0 +1,46 @@
+import re
+
+from src.benchmark import Benchmark
+
+throughput_re = re.compile("^Throughput =\s*(?P<throughput>\d+) operations per second.$")
+
+
+class Benchmark_Larson(Benchmark):
+    def __init__(self):
+        self.name = "larson"
+        self.descrition = """This benchmark is courtesy of Paul Larson at
+                             Microsoft Research. It simulates a server: each
+                             thread allocates and deallocates objects, and then
+                             transfers some objects (randomly selected) to
+                             other threads to be freed."""
+
+        self.cmd = "larson{binary_suffix} 1 8 {maxsize} 1000 50000 1 {threads}"
+
+        self.args = {
+                        "maxsize": [8, 32, 64, 128, 256, 512, 1024],
+                        "threads": Benchmark.scale_threads_for_cpus(2)
+                    }
+
+        self.requirements = ["larson"]
+        super().__init__()
+
+    def process_output(self, result, stdout, stderr, target, perm, verbose):
+        for l in stdout.splitlines():
+            res = throughput_re.match(l)
+            if res:
+                result["throughput"] = int(res.group("throughput"))
+                return
+
+    def summary(self):
+        # Plot threads->throughput and maxsize->throughput
+        self.plot_fixed_arg("{throughput}/1000000",
+                            ylabel="'MOPS/s'",
+                            title="'Larson: ' + arg + ' ' + str(arg_value)",
+                            filepostfix="throughput")
+
+        self.plot_fixed_arg("({L1-dcache-load-misses}/{L1-dcache-loads})*100",
+                            ylabel="'l1 cache misses in %'",
+                            title="'Larson cache misses: ' + arg + ' ' + str(arg_value)",
+                            filepostfix="cachemisses")
+
+larson = Benchmark_Larson()