diff options
| -rw-r--r-- | falsesharing.py | 62 |
1 files changed, 36 insertions, 26 deletions
diff --git a/falsesharing.py b/falsesharing.py index f42a849..008b477 100644 --- a/falsesharing.py +++ b/falsesharing.py @@ -26,8 +26,9 @@ class Benchmark_Falsesharing( Benchmark ): self.results = {"args" : {"nthreads" : self.nthreads}, "targets" : self.targets, - "thrash": {}, - "scratch": {}} + "thrash": {x : {} for x in self.targets}, + "scratch": {x: {} for x in self.targets} + } def prepare(self, verbose=False): req = ["build/cache-thrash", "build/cache-scratch"] @@ -93,11 +94,10 @@ class Benchmark_Falsesharing( Benchmark ): for row in csvreader: result[row[2].replace("\\", "")] = row[0].replace("\\", "") - key = (tname, threads) - if not key in self.results[bench]: - self.results[bench][key] = [result] + if not threads in self.results[bench][tname]: + self.results[bench][tname][threads] = [result] else: - self.results[bench][key].append(result) + self.results[bench][tname][threads].append(result) print() return True @@ -113,31 +113,41 @@ class Benchmark_Falsesharing( Benchmark ): for bench in ["thrash", "scratch"]: for target in targets: y_vals = [0] * len(nthreads) - single_threaded = np.mean([m["time"] for m in self.results[bench][(target, 1)]]) - for mid, measures in self.results[bench].items(): - if mid[0] == target: - l1_load_misses = [] - d = [] - for m in measures: - d.append(m["time"]) - misses = 0 - loads = 0 - for e in m: - if "L1-dcache-load-misses" in e: - misses = float(m[e]) - elif "L1-dcache-loads" in e: - loads = float(m[e]) - l1_load_misses.append(misses/loads) - y_vals[y_mapping[mid[1]]] = single_threaded / np.mean(d) - s = "{} {} {}: {:.3f}%".format(bench, target, mid[1], np.mean(l1_load_misses)*100) - print(s) - plt.plot(nthreads, y_vals, marker='.', linestyle='-', label=target, color=targets[target]["color"]) + single_threaded = np.mean([m["time"] for m in self.results[bench][target][1]]) + for threads, measures in self.results[bench][target].items(): + l1_load_misses = [] + d = [m["time"] for m in measures] + y_vals[y_mapping[threads]] = single_threaded / np.mean(d) + plt.plot(nthreads, y_vals, marker='.', linestyle='-', label=target, + color=targets[target]["color"]) plt.legend() plt.xlabel("threads") plt.ylabel("speedup") - plt.title(bench) + plt.title(bench + " speedup" ) plt.savefig(os.path.join(sd, self.name + "." + bench + ".png")) plt.clf() + for target in targets: + y_vals = [0] * len(nthreads) + for threads, measures in self.results[bench][target].items(): + l1_load_misses = [] + for m in measures: + misses = 0 + loads = 0 + for e in m: + if "L1-dcache-load-misses" in e: + misses = float(m[e]) + elif "L1-dcache-loads" in e: + loads = float(m[e]) + l1_load_misses.append(misses/loads) + y_vals[y_mapping[threads]] = np.mean(l1_load_misses) * 100 + plt.plot(nthreads, y_vals, marker='.', linestyle='-', label=target, color=targets[target]["color"]) + plt.legend() + plt.xlabel("threads") + plt.ylabel("l1-cache-misses in %") + plt.title(bench + " cache-misses") + plt.savefig(os.path.join(sd, self.name + "." + bench + ".l1misses.png")) + plt.clf() + falsesharing= Benchmark_Falsesharing() |