numeric-linalg

Educational material on the SciPy implementation of numerical linear algebra algorithms

Commit
1c9b6eae3bb1485f38f3cefa6a6fb7c503a7016d
Parent
c5731126ca84050c8a1c4f62fe0b38a0dc6013c1
Author
Pablo <pablo-pie@riseup.net>
Date

Merged the benchmarking tools

Merged the two benchmarking tools into a single tool implemented with the Linux perf event API

Diffstat

20 files changed, 265 insertions, 451 deletions

Status File Name N° Changes Insertions Deletions
Modified getrf/benchmark/Makefile 8 4 4
Modified getrf/benchmark/benchmark.ipynb 63 32 31
Added getrf/benchmark/output/cache-loads-naive.bin 0 0 0
Added getrf/benchmark/output/cache-loads-unblocked.bin 0 0 0
Modified getrf/benchmark/output/cache-loads.bin 0 0 0
Added getrf/benchmark/output/cache-misses-naive.bin 0 0 0
Added getrf/benchmark/output/cache-misses-unblocked.bin 0 0 0
Modified getrf/benchmark/output/cache-misses.bin 0 0 0
Added getrf/benchmark/output/cpu-cycles-naive.bin 0 0 0
Added getrf/benchmark/output/cpu-cycles-unblocked.bin 0 0 0
Added getrf/benchmark/output/cpu-cycles.bin 0 0 0
Deleted getrf/benchmark/output/runtime-dgetrf.bin 0 0 0
Deleted getrf/benchmark/output/runtime-naive.bin 0 0 0
Deleted getrf/benchmark/output/runtime-unblocked.bin 0 0 0
Deleted getrf/benchmark/output/unblocked-cache-loads.bin 0 0 0
Deleted getrf/benchmark/output/unblocked-cache-misses.bin 0 0 0
Deleted getrf/benchmark/src/cache-ratio.c 219 0 219
Added getrf/benchmark/src/main.c 217 217 0
Modified getrf/benchmark/src/perf.h 17 12 5
Deleted getrf/benchmark/src/runtime.c 192 0 192
diff --git a/getrf/benchmark/Makefile b/getrf/benchmark/Makefile
@@ -1,12 +1,12 @@
 LD_FLAGS=-L../../lapack -L/usr/lib -llapack -lrefblas -ltmglib -lgfortran -lm
 C_FLAGS=-Wall -Wextra $(LD_FLAGS)
 
-all: target/runtime target/cache-ratio
+all: target/benchmarker
 
-debug: target/runtime-debug target/cache-ratio-debug
+debug: target/benchmarker-debug
 
-./target/%: src/%.c src/config.h src/progress-bar.h src/perf.h
+./target/benchmarker: src/main.c src/config.h src/progress-bar.h src/perf.h
 	cc $(firstword $^) -o $@ $(C_FLAGS) -O3
 
-./target/%-debug: src/%.c src/config.h src/progress-bar.h src/perf.h
+./target/benchmarker-debug: src/main.c src/config.h src/progress-bar.h src/perf.h
 	cc $(firstword $^) -o $@ $(C_FLAGS) -fsanitize=address -g
diff --git a/getrf/benchmark/benchmark.ipynb b/getrf/benchmark/benchmark.ipynb
@@ -10,13 +10,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 16,
    "id": "30318f00-d2d5-444f-9e8a-abd78af4b74f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -35,21 +35,18 @@
     "MAX_N = 5000\n",
     "STEP = 100\n",
     "\n",
-    "# Used to avoid errors when taking the log of the histogram\n",
-    "EPS = 0.00000001\n",
-    "\n",
     "x = np.arange(1, MAX_N, STEP)\n",
     "x_ref = np.arange(np.log(x[0]), np.log(x[-1]))\n",
     "\n",
-    "histogram_dgetrf = np.fromfile(\"output/runtime-dgetrf.bin\", dtype=np.uint32)\n",
-    "plt.plot(np.log(x), np.log(histogram_dgetrf + EPS), color=BLUE)\n",
-    "plt.scatter(np.log(x), np.log(histogram_dgetrf + EPS), color=BLUE, s=7)\n",
+    "cpu_cycles = np.fromfile(\"output/cpu-cycles.bin\", dtype=np.uint64)\n",
+    "plt.plot(np.log(x), np.log(cpu_cycles), color=BLUE)\n",
+    "plt.scatter(np.log(x), np.log(cpu_cycles), color=BLUE, s=7)\n",
     "plt.plot(x_ref, 3 * x_ref, color=YELLOW)\n",
     "\n",
     "plt.xticks(np.arange(0, 9, 2))\n",
-    "plt.yticks(np.arange(-18, 34, 2))\n",
+    "plt.yticks(np.arange(0, 34, 2))\n",
     "plt.xlabel('n')\n",
-    "plt.ylabel('log(ms)')\n",
+    "plt.ylabel('log(cpu cycles)')\n",
     "plt.grid(which='both', color='gray', linestyle='--', linewidth=0.5)"
    ]
   },
@@ -58,18 +55,22 @@
    "id": "a1d02f49-35f3-4055-ac14-3bd39b9b9319",
    "metadata": {},
    "source": [
-    "We can also compare the LAPACK implementation of `getrf` with variations of the same algorithm:"
+    "We can also compare the LAPACK implementation of `getrf` with variations of the same algorithm:\n",
+    "\n",
+    "1. **LAPACK implementation:** the actual LAPACK implementation of `dgetrf`\n",
+    "2. **Naive:** implementation where we take $n_1 = 1$\n",
+    "3. **Unblocked:** unblocked version of `dgetrf` (`dgetrf2`)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 13,
    "id": "2e55827d-1fa1-4c5a-a8f0-2a48f532ff56",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -79,19 +80,19 @@
     }
    ],
    "source": [
-    "histogram_naive = np.fromfile(\"output/runtime-naive.bin\", dtype=np.uint32)\n",
-    "plt.plot(x, histogram_naive, color=CYAN, label=\"Naive\")\n",
+    "cpu_cycles_naive = np.fromfile(\"output/cpu-cycles-naive.bin\", dtype=np.uint64)\n",
+    "plt.plot(x, cpu_cycles_naive, color=CYAN, label=\"Naive\")\n",
     "\n",
-    "histogram_unblocked = np.fromfile(\"output/runtime-unblocked.bin\", dtype=np.uint32)\n",
-    "plt.plot(x, histogram_unblocked, color=GREEN, label=\"Unblocked\")\n",
+    "cpu_cycles_unblocked = np.fromfile(\"output/cpu-cycles-unblocked.bin\", dtype=np.uint64)\n",
+    "plt.plot(x, cpu_cycles_unblocked, color=GREEN, label=\"Unblocked\")\n",
     "\n",
     "# Referance plot\n",
-    "plt.plot(x, histogram_dgetrf, color=BLUE, label=\"LAPACK implementation\")\n",
+    "plt.plot(x, cpu_cycles, color=BLUE, label=\"LAPACK implementation\")\n",
     "\n",
     "plt.grid(which='both', color='gray', linestyle='--', linewidth=0.5)\n",
     "plt.xlabel('n')\n",
-    "plt.ylabel('ms')\n",
-    "plt.legend\n",
+    "plt.ylabel('cpu cycles')\n",
+    "plt.legend()\n",
     "plt.grid(which='both', color='gray', linestyle='--', linewidth=0.5)"
    ]
   },
@@ -100,18 +101,18 @@
    "id": "7a769706-fcd6-4d35-af85-a95fc76a990b",
    "metadata": {},
    "source": [
-    "In the last plot, the _Naive_ line represents the execution time of the same algorithm but taking $n_1 = 1$, while the _Unblocked_ line represents the unblocked version of `getrf`. We can thus see that the performance of the LAPACK implementation is roughtly equivalent to the naive implementation, while blocking affords us a $2 \\times$ speedup. Surprisingly, this speedup doesn't seem be correlated with the [_cache miss ratio_](https://en.wikipedia.org/wiki/Cache_(computing)#Operation) of both implementation, as the ratio of the unblocked implementation is actually smaller than that of its blocked counterpart:"
+    "We can thus see that the performance of the LAPACK implementation is roughtly equivalent to the naive implementation, while blocking affords us a $2 \\times$ speedup. Surprisingly, this speedup doesn't seem be correlated with the [_cache miss ratio_](https://en.wikipedia.org/wiki/Cache_(computing)#Operation) of both implementation, as the ratio of the unblocked implementation is actually smaller than that of its blocked counterpart:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 12,
    "id": "451a3f62-3ddb-4d16-90d5-6dcafa000485",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -121,15 +122,15 @@
     }
    ],
    "source": [
-    "histogram_cache_misses = np.fromfile(\"output/cache-misses.bin\", dtype=np.uint64)[1:]\n",
-    "histogram_cache_loads =  np.fromfile(\"output/cache-loads.bin\", dtype=np.uint64)[1:]\n",
-    "histogram_cache_ratio =  histogram_cache_misses/histogram_cache_loads\n",
-    "plt.plot(x[1:], histogram_cache_ratio, color=BLUE, label=\"LAPACK implementation\")\n",
+    "cache_misses = np.fromfile(\"output/cache-misses.bin\", dtype=np.uint64)[1:]\n",
+    "cache_loads =  np.fromfile(\"output/cache-loads.bin\", dtype=np.uint64)[1:]\n",
+    "cache_ratio =  cache_misses/cache_loads\n",
+    "plt.plot(x[1:], cache_ratio, color=BLUE, label=\"LAPACK implementation\")\n",
     "\n",
-    "histogram_cache_misses_unblocked = np.fromfile(\"output/unblocked-cache-misses.bin\", dtype=np.uint64)[1:]\n",
-    "histogram_cache_loads_unblocked =  np.fromfile(\"output/unblocked-cache-loads.bin\", dtype=np.uint64)[1:]\n",
-    "histogram_cache_ratio_unblocked =  histogram_cache_misses_unblocked/histogram_cache_loads_unblocked\n",
-    "plt.plot(x[1:], histogram_cache_ratio_unblocked, color=GREEN, label=\"Unblocked\")\n",
+    "cache_misses_unblocked = np.fromfile(\"output/cache-misses-unblocked.bin\", dtype=np.uint64)[1:]\n",
+    "cache_loads_unblocked =  np.fromfile(\"output/cache-loads-unblocked.bin\", dtype=np.uint64)[1:]\n",
+    "cache_ratio_unblocked =  cache_misses_unblocked/cache_loads_unblocked\n",
+    "plt.plot(x[1:], cache_ratio_unblocked, color=GREEN, label=\"Unblocked\")\n",
     "\n",
     "plt.xlabel('n')\n",
     "plt.legend()\n",
diff --git a/getrf/benchmark/output/cache-loads-naive.bin b/getrf/benchmark/output/cache-loads-naive.bin
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diff --git a/getrf/benchmark/output/cache-loads-unblocked.bin b/getrf/benchmark/output/cache-loads-unblocked.bin
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diff --git a/getrf/benchmark/output/cache-loads.bin b/getrf/benchmark/output/cache-loads.bin
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diff --git a/getrf/benchmark/output/cache-misses-naive.bin b/getrf/benchmark/output/cache-misses-naive.bin
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diff --git a/getrf/benchmark/output/cache-misses-unblocked.bin b/getrf/benchmark/output/cache-misses-unblocked.bin
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diff --git a/getrf/benchmark/output/cache-misses.bin b/getrf/benchmark/output/cache-misses.bin
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diff --git a/getrf/benchmark/output/cpu-cycles-naive.bin b/getrf/benchmark/output/cpu-cycles-naive.bin
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diff --git a/getrf/benchmark/output/cpu-cycles-unblocked.bin b/getrf/benchmark/output/cpu-cycles-unblocked.bin
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diff --git a/getrf/benchmark/output/cpu-cycles.bin b/getrf/benchmark/output/cpu-cycles.bin
Binary files differ.
diff --git a/getrf/benchmark/output/runtime-dgetrf.bin b/getrf/benchmark/output/runtime-dgetrf.bin
Binary files differ.
diff --git a/getrf/benchmark/output/runtime-naive.bin b/getrf/benchmark/output/runtime-naive.bin
Binary files differ.
diff --git a/getrf/benchmark/output/runtime-unblocked.bin b/getrf/benchmark/output/runtime-unblocked.bin
Binary files differ.
diff --git a/getrf/benchmark/output/unblocked-cache-loads.bin b/getrf/benchmark/output/unblocked-cache-loads.bin
Binary files differ.
diff --git a/getrf/benchmark/output/unblocked-cache-misses.bin b/getrf/benchmark/output/unblocked-cache-misses.bin
Binary files differ.
diff --git a/getrf/benchmark/src/cache-ratio.c b/getrf/benchmark/src/cache-ratio.c
@@ -1,219 +0,0 @@
-#include <stdio.h>
-#include <stdlib.h>
-
-#define __USE_GNU
-#include <sched.h>
-#include <pthread.h>
-
-#include <stdint.h>
-#include <stdbool.h>
-
-#include <string.h>
-#include <errno.h>
-
-#include "progress-bar.h"
-#include "perf.h"
-#include "config.h"
-
-#define HISTOGRAM_SIZE              (MAX_N/STEP)
-#define LOGISTICS_INITIAL_CONDITION (-800.)
-
-// X-macros for defining variables for each perf event
-#define EVENTS  EVENT(loads) EVENT(misses)
-
-#define EVENT(name) uint64_t histogram_##name[HISTOGRAM_SIZE];
-EVENTS
-#undef  EVENT
-
-void (*getrf)(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-
-ProgressBar progress = {
-  .total = HISTOGRAM_SIZE,
-  .count = 0,
-  .mutex = PTHREAD_MUTEX_INITIALIZER,
-};
-
-// .data is a pointer because it should be allocated in the heap
-// (.data DOES NOT fit in the stack 🤡)
-typedef struct {
-  double       *ref_data;
-
-  // Input parameters for dgetrf
-  double       *data;
-  int32_t      ipiv[MAX_N];
-  int          n, m, lda, info;
-
-  size_t       id;
-  PerfRecorder recorder;
-} Thread;
-
-typedef struct {
-  Thread threads[N_THREADS];
-} Benchmarker;
-
-/*
- * LAPACK functions
- */
-extern void dgetrf_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-extern void dgetrf2_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-
-PerfResult thread_run_benchmark(Thread *thread, size_t n)
-{
-  // Reinitializes the values in the .data array: this avoids progressively
-  // moving larger values to the beginning of the array, which would decrise
-  // decrease the number of row interchanges required for computations
-  memcpy(thread->data, thread->ref_data, sizeof(double)*n*n);
-  thread->n = n; thread->m = n; thread->lda = n;
-
-  perf_start_recording(&thread->recorder, thread->id);
-  getrf(&thread->n, &thread->m, thread->data, &thread->lda,
-        thread->ipiv, &thread->info);
-  perf_stop_recording(&thread->recorder);
-
-  return thread->recorder.result;
-}
-
-void *thread_benchmark(void *arg)
-{
-  Thread *thread = (Thread*) arg;
-
- // We need to lock the running thread to some CPU so that we can mask
- // perf_event_open with this specific CPU
-  cpu_set_t set;
-  CPU_SET(thread->id, &set);
-  if (sched_setaffinity(0, sizeof(set), &set) == -1) {
-    fprintf(stderr, "ERROR: Could not lock CPU affinity for thread %lu\n",
-            thread->id);
-  }
-
-  // Computations are distributed evenly across threads
-  for (size_t n = 1 + thread->id*STEP; n < MAX_N; n += STEP*N_THREADS) {
-    PerfResult result = thread_run_benchmark(thread, n);
-    size_t i = (n - 1)/STEP;
-
-    histogram_loads[i]  = result.cache_loads;
-    histogram_misses[i] = result.cache_misses;
-
-    progress_bar_inc(&progress);
-  }
-
-  return NULL;
-}
-
-Benchmarker benchmarker_new(double *ref_data)
-{
-  Benchmarker bench = {0};
-
-  // This array will live for the entire duration of the program,
-  // so we might as well leak it 🤡
-  double *data = malloc(sizeof(double)*MAX_N*MAX_N*N_THREADS);
-  if (data == NULL) {
-    fprintf(stderr, "ERROR: Buy more RAM!\n");
-    exit(EXIT_FAILURE);
-  }
-
-  for (size_t i = 0; i < N_THREADS; i++) {
-    bench.threads[i].data     = data + i*MAX_N*MAX_N;
-    bench.threads[i].ref_data = ref_data;
-    bench.threads[i].id       = i;
-  }
-
-  return bench;
-}
-
-void benchmarker_run(Benchmarker *bench)
-{
-  pthread_t handles[N_THREADS] = {0};
-  for (size_t i = 0; i < N_THREADS; i++) {
-    if (pthread_create(&handles[i], NULL,
-                       thread_benchmark,
-                       &bench->threads[i]) != 0) {
-      fprintf(stderr, "ERROR: Failed to spawn thread %lu!\n", i);
-      exit(EXIT_FAILURE);
-    }
-  }
-
-  for (size_t i = 0; i < N_THREADS; i++) {
-    pthread_join(handles[i], NULL);
-  }
-}
-
-
-int main(int argc, char **argv)
-{
-#define EVENT(name) const char *output_path_##name;
-  EVENTS
-#undef  EVENT
-
-  if (argc < 2 || strcmp(argv[1], "standard") == 0) {
-    getrf = dgetrf_;
-#define EVENT(name) \
-    output_path_##name = OUTPUT_DIR "cache-" #name ".bin";
-    EVENTS
-#undef EVENT
-  } else if (strcmp(argv[1], "unblocked") == 0) {
-    getrf = dgetrf2_;
-#define EVENT(name) \
-    output_path_##name = OUTPUT_DIR "unblocked-cache-" #name ".bin";
-    EVENTS
-#undef EVENT
-  } else {
-    fprintf(stderr, "ERROR: unknown command \"%s\"\n", argv[1]);
-    fprintf(stderr, "USAGE: %s [standard|naive|unblocked]\n", argv[0]);
-    exit(EXIT_FAILURE);
-  }
-
-  // ========================================================================
-  printf("INFO: Initializing random input data... ");
-
-  // This array will live for the entire duration of the program,
-  // so we might as well leak it 🤡
-  double *ref_data = malloc(sizeof(double)*MAX_N*MAX_N);
-  if (ref_data == NULL) {
-    fprintf(stderr, "ERROR: Buy more RAM!\n");
-    exit(EXIT_FAILURE);
-  }
-
-  // Pseudorandom data given by the logistic map
-  double acc = LOGISTICS_INITIAL_CONDITION;
-  for (size_t i = 0; i < MAX_N*MAX_N; i++) {
-    ref_data[i] = acc;
-    acc = 1000. - acc*acc/500.;
-  }
-
-  printf("done!\n");
-
-  // ========================================================================
-  printf("INFO: Benchmarking the cache miss ratio of dgetrf on %ux%u matrices... (using %u threads)\n",
-         MAX_N, MAX_N, N_THREADS);
-
-  Benchmarker bench = benchmarker_new(ref_data);
-  benchmarker_run(&bench);
-
-  // ========================================================================
-  printf("INFO: Done with benchmarking! Saving histograms to disk...\n");
-
-#define EVENT(name) \
-  do { \
-    FILE *output = fopen(output_path_##name, "w"); \
-    if (output == NULL) { \
-      fprintf(stderr, \
-              "ERROR: Coundn't open output file \"%s\": %s", \
-              output_path_##name, strerror(errno)); \
-      return EXIT_FAILURE; \
-    } \
-    size_t written = fwrite(&histogram_##name, sizeof(uint64_t), HISTOGRAM_SIZE, output); \
-    if (written < HISTOGRAM_SIZE) { \
-      fprintf(stderr, \
-              "ERROR: Failed to write histogram to output file \"%s\": %s\n", \
-              output_path_##name, strerror(errno)); \
-      return EXIT_FAILURE; \
-    } \
-  } while(0);
-  EVENTS
-#undef EVENT
-
-  printf("INFO: Done!\n");
-
-  return EXIT_SUCCESS;
-}
diff --git a/getrf/benchmark/src/main.c b/getrf/benchmark/src/main.c
@@ -0,0 +1,217 @@
+#include <stdio.h>
+#include <stdlib.h>
+
+#define __USE_GNU
+#include <sched.h>
+#include <pthread.h>
+
+#include <stdint.h>
+#include <stdbool.h>
+
+#include <string.h>
+#include <errno.h>
+
+#include "progress-bar.h"
+#include "perf.h"
+#include "config.h"
+
+#define HISTOGRAM_SIZE              (MAX_N/STEP)
+#define LOGISTICS_INITIAL_CONDITION (-800.)
+
+uint64_t histograms[PERF_EVENT_COUNT][HISTOGRAM_SIZE];
+void (*getrf)(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+
+ProgressBar progress = {
+  .total = HISTOGRAM_SIZE,
+  .count = 0,
+  .mutex = PTHREAD_MUTEX_INITIALIZER,
+};
+
+// .data is a pointer because it should be allocated in the heap
+// (.data DOES NOT fit in the stack 🤡)
+typedef struct {
+  double       *ref_data;
+
+  // Input parameters for dgetrf
+  double       *data;
+  int32_t      ipiv[MAX_N];
+  int          n, m, lda, info;
+
+  size_t       id;
+  PerfRecorder recorder;
+} Thread;
+
+typedef struct {
+  Thread threads[N_THREADS];
+} Benchmarker;
+
+/*
+ * LAPACK functions
+ */
+extern void dgetrf_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+extern void dgetrfnaive_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+extern void dgetrf2_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
+
+PerfResult thread_run_benchmark(Thread *thread, size_t n)
+{
+  // Reinitializes the values in the .data array: this avoids progressively
+  // moving larger values to the beginning of the array, which would decrise
+  // decrease the number of row interchanges required for computations
+  memcpy(thread->data, thread->ref_data, sizeof(double)*n*n);
+  thread->n = n; thread->m = n; thread->lda = n;
+
+  perf_start_recording(&thread->recorder, thread->id);
+  getrf(&thread->n, &thread->m, thread->data, &thread->lda,
+        thread->ipiv, &thread->info);
+  return perf_stop_recording(&thread->recorder);
+}
+
+void *thread_benchmark(void *arg)
+{
+  Thread *thread = (Thread*) arg;
+
+  // We need to lock the running thread to some CPU so that we can mask
+  // perf_event_open with this specific CPU
+  cpu_set_t set;
+  CPU_ZERO(&set);
+  CPU_SET(thread->id, &set);
+  if (sched_setaffinity(0, sizeof(set), &set) == -1) {
+    fprintf(stderr, "ERROR: Could not lock CPU affinity for thread %lu\n",
+            thread->id);
+  }
+
+  // Computations are distributed evenly across threads
+  for (size_t n = 1 + thread->id*STEP; n < MAX_N; n += STEP*N_THREADS) {
+    PerfResult result = thread_run_benchmark(thread, n);
+    size_t i = (n - 1)/STEP;
+
+    static_assert(PERF_EVENT_COUNT == 3,
+                  "We need to update the assignements "
+                  "if we add more perf events");
+    histograms[CACHE_LOADS][i]  = result.cache_loads;
+    histograms[CACHE_MISSES][i] = result.cache_misses;
+    histograms[CPU_CYCLES][i]   = result.cpu_cycles;
+
+    progress_bar_inc(&progress);
+  }
+
+  return NULL;
+}
+
+Benchmarker benchmarker_new(double *ref_data)
+{
+  Benchmarker bench = {0};
+
+  // This array will live for the entire duration of the program,
+  // so we might as well leak it 🤡
+  double *data = malloc(sizeof(double)*MAX_N*MAX_N*N_THREADS);
+  if (data == NULL) {
+    fprintf(stderr, "ERROR: Buy more RAM!\n");
+    exit(EXIT_FAILURE);
+  }
+
+  for (size_t i = 0; i < N_THREADS; i++) {
+    bench.threads[i].data     = data + i*MAX_N*MAX_N;
+    bench.threads[i].ref_data = ref_data;
+    bench.threads[i].id       = i;
+  }
+
+  return bench;
+}
+
+void benchmarker_run(Benchmarker *bench)
+{
+  pthread_t handles[N_THREADS] = {0};
+  for (size_t i = 0; i < N_THREADS; i++) {
+    if (pthread_create(&handles[i], NULL,
+                       thread_benchmark,
+                       &bench->threads[i]) != 0) {
+      fprintf(stderr, "ERROR: Failed to spawn thread %lu!\n", i);
+      exit(EXIT_FAILURE);
+    }
+  }
+
+  for (size_t i = 0; i < N_THREADS; i++) {
+    pthread_join(handles[i], NULL);
+  }
+}
+
+
+int main(int argc, char **argv)
+{
+  const char *output_paths[PERF_EVENT_COUNT];
+
+  static_assert(PERF_EVENT_COUNT == 3,
+                "We need to update argv parsing if we add more perf events");
+  if (argc < 2 || strcmp(argv[1], "standard") == 0) {
+    getrf = dgetrf_;
+    output_paths[CACHE_LOADS]  = OUTPUT_DIR "cache-loads.bin";;
+    output_paths[CACHE_MISSES] = OUTPUT_DIR "cache-misses.bin";;
+    output_paths[CPU_CYCLES]   = OUTPUT_DIR "cpu-cycles.bin";;
+  } else if (strcmp(argv[1], "naive") == 0) {
+    getrf = dgetrfnaive_;
+    output_paths[CACHE_LOADS]  = OUTPUT_DIR "cache-loads-naive.bin";;
+    output_paths[CACHE_MISSES] = OUTPUT_DIR "cache-misses-naive.bin";;
+    output_paths[CPU_CYCLES]   = OUTPUT_DIR "cpu-cycles-naive.bin";;
+  } else if (strcmp(argv[1], "unblocked") == 0) {
+    getrf = dgetrf2_;
+    output_paths[CACHE_LOADS]  = OUTPUT_DIR "cache-loads-unblocked.bin";;
+    output_paths[CACHE_MISSES] = OUTPUT_DIR "cache-misses-unblocked.bin";;
+    output_paths[CPU_CYCLES]   = OUTPUT_DIR "cpu-cycles-unblocked.bin";;
+  } else {
+    fprintf(stderr, "ERROR: unknown command \"%s\"\n", argv[1]);
+    fprintf(stderr, "USAGE: %s [standard|naive|unblocked]\n", argv[0]);
+    exit(EXIT_FAILURE);
+  }
+
+  // ========================================================================
+  printf("INFO: Initializing random input data... ");
+
+  // This array will live for the entire duration of the program,
+  // so we might as well leak it 🤡
+  double *ref_data = malloc(sizeof(double)*MAX_N*MAX_N);
+  if (ref_data == NULL) {
+    fprintf(stderr, "ERROR: Buy more RAM!\n");
+    exit(EXIT_FAILURE);
+  }
+
+  // Pseudorandom data given by the logistic map
+  double acc = LOGISTICS_INITIAL_CONDITION;
+  for (size_t i = 0; i < MAX_N*MAX_N; i++) {
+    ref_data[i] = acc;
+    acc = 1000. - acc*acc/500.;
+  }
+
+  printf("done!\n");
+
+  // ========================================================================
+  printf("INFO: Benchmarking the dgetrf on %ux%u matrices... (using %u threads)\n",
+         MAX_N, MAX_N, N_THREADS);
+
+  Benchmarker bench = benchmarker_new(ref_data);
+  benchmarker_run(&bench);
+
+  // ========================================================================
+  printf("INFO: Done with benchmarking! Saving histograms to disk...\n");
+
+  for (size_t i = 0; i < PERF_EVENT_COUNT; i++) {
+    FILE *output = fopen(output_paths[i], "w");
+    if (output == NULL) {
+      fprintf(stderr,
+              "ERROR: Coundn't open output file \"%s\": %s",
+              output_paths[i], strerror(errno));
+      return EXIT_FAILURE;
+    }
+
+    size_t written = fwrite(&histograms[i], sizeof(uint64_t), HISTOGRAM_SIZE, output);
+    if (written < HISTOGRAM_SIZE) {
+      fprintf(stderr,
+              "ERROR: Failed to write histogram to output file \"%s\": %s\n",
+              output_paths[i], strerror(errno));
+      return EXIT_FAILURE;
+    }
+  };
+
+  printf("INFO: Done!\n");
+  return EXIT_SUCCESS;
+}
diff --git a/getrf/benchmark/src/perf.h b/getrf/benchmark/src/perf.h
@@ -10,20 +10,22 @@
 
 #include <assert.h>
 
-typedef enum {
+enum {
   // Here we use L1-dcache-loads & L1-dcache-loads-misses instead of
   // cache-misses & cache-references because the L1 data cache is the only
   // CPU-specific cache accessible to perf: the LD cache is shared between
   // cores
   CACHE_LOADS = 0, /* L1-dcache-loads */
   CACHE_MISSES,    /* L1-dcache-loads-misses */
+  CPU_CYCLES,      /* cpu-cycles */
 
   PERF_EVENT_COUNT
-} PerfEvent;
+};
 
 uint32_t perf_event_types[PERF_EVENT_COUNT] = {
   [CACHE_LOADS]  = PERF_TYPE_HW_CACHE,
   [CACHE_MISSES] = PERF_TYPE_HW_CACHE,
+  [CPU_CYCLES]    = PERF_TYPE_HARDWARE,
 };
 
 uint64_t perf_event_configs[PERF_EVENT_COUNT] = {
@@ -33,19 +35,22 @@ uint64_t perf_event_configs[PERF_EVENT_COUNT] = {
   [CACHE_MISSES] = PERF_COUNT_HW_CACHE_L1D
                  | (PERF_COUNT_HW_CACHE_OP_READ << 8)
                  | (PERF_COUNT_HW_CACHE_RESULT_MISS << 16),
+  [CPU_CYCLES]   = PERF_COUNT_HW_CPU_CYCLES,
 };
 
 const char *perf_event_str[PERF_EVENT_COUNT] = {
   [CACHE_LOADS]  = "CACHE_LOADS",
   [CACHE_MISSES] = "CACHE_MISSES",
+  [CPU_CYCLES]    = "CPU_CYCLES",
 };
 
-static_assert(PERF_EVENT_COUNT == 2,
-              "We should add more filds for this structure"
+static_assert(PERF_EVENT_COUNT == 3,
+              "We should add more filds for this structure "
               "if we add more events");
 typedef struct {
   uint64_t cache_loads;
   uint64_t cache_misses;
+  uint64_t cpu_cycles;
 } PerfResult;
 
 typedef struct {
@@ -83,7 +88,7 @@ void perf_start_recording(PerfRecorder *pr, size_t cpu_id)
   }
 }
 
-void perf_stop_recording(PerfRecorder *pr)
+PerfResult perf_stop_recording(PerfRecorder *pr)
 {
   for (size_t i = 0; i < PERF_EVENT_COUNT; i++) {
     ioctl(pr->fds[i], PERF_EVENT_IOC_DISABLE, 0); // stop counting
@@ -94,6 +99,8 @@ void perf_stop_recording(PerfRecorder *pr)
     }
     close(pr->fds[i]);
   }
+
+  return pr->result;
 }
 
 #endif // PERF_H_
diff --git a/getrf/benchmark/src/runtime.c b/getrf/benchmark/src/runtime.c
@@ -1,192 +0,0 @@
-#include <stdio.h>
-#include <stdlib.h>
-#include <pthread.h>
-
-#include <stdint.h>
-#include <stdbool.h>
-#include <time.h>
-
-#include <string.h>
-#include <errno.h>
-
-#include "progress-bar.h"
-#include "config.h"
-
-#define HISTOGRAM_SIZE              (MAX_N/STEP)
-#define CLOCKS_PER_MILLIS           (CLOCKS_PER_SEC/1000)
-#define LOGISTICS_INITIAL_CONDITION (-800.)
-
-uint32_t histogram[HISTOGRAM_SIZE];
-void (*getrf)(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-
-ProgressBar progress = {
-  .total = HISTOGRAM_SIZE,
-  .count = 0,
-  .mutex = PTHREAD_MUTEX_INITIALIZER,
-};
-
-// .data is a pointer because it should be allocated in the heap
-// (.data DOES NOT fit in the stack 🤡)
-typedef struct {
-  double  *data;
-  double  *ref_data;
-  int32_t ipiv[MAX_N];
-  size_t  id;
-} Thread;
-
-typedef struct {
-  Thread threads[N_THREADS];
-} Benchmarker;
-
-/*
- * LAPACK functions
- */
-extern void dgetrf_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-extern void dgetrf2_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-extern void dgetrfnaive_(int *m, int *n, double *A, int *lda, int *ipiv, int *info);
-
-uint32_t thread_run_benchmark(Thread *thread, size_t n)
-{
-  int64_t total_time = 0;
-  clock_t start, end;
-  int l_n, l_m, lda, info;
-
-  for (size_t i = 0; i < N_TESTS; i++) {
-    // Reinitializes the values in the .data array: this avoids progressively
-    // moving larger values to the beginning of the array, which would decrise
-    // decrease the number of row interchanges required for computations
-    memcpy(thread->data, thread->ref_data, sizeof(double)*n*n);
-    l_n = n; l_m = n; lda = n;
-
-    start = clock();
-    getrf(&l_m, &l_n, thread->data, &lda, thread->ipiv, &info);
-    end = clock();
-    total_time += (end - start)/CLOCKS_PER_MILLIS;
-  }
-
-  return (uint32_t)(total_time/N_TESTS);
-}
-
-void *thread_benchmark(void *arg)
-{
-  Thread *thread = (Thread*) arg;
-
-  // Computations are distributed evenly across threads
-  for (size_t n = 1 + thread->id*STEP; n < MAX_N; n += STEP*N_THREADS) {
-    uint32_t duration = thread_run_benchmark(thread, n);
-
-    histogram[(n - 1)/STEP] = duration;
-    progress_bar_inc(&progress);
-  }
-
-  return NULL;
-}
-
-Benchmarker benchmarker_new(double *ref_data)
-{
-  Benchmarker bench = {0};
-
-  // This array will live for the entire duration of the program,
-  // so we might as well leak it 🤡
-  double *data = malloc(sizeof(double)*MAX_N*MAX_N*N_THREADS);
-  if (data == NULL) {
-    fprintf(stderr, "ERROR: Buy more RAM!\n");
-    exit(EXIT_FAILURE);
-  }
-
-  for (size_t i = 0; i < N_THREADS; i++) {
-    bench.threads[i].data     = data + i*MAX_N*MAX_N;
-    bench.threads[i].ref_data = ref_data;
-    bench.threads[i].id       = i;
-  }
-
-  return bench;
-}
-
-void benchmarker_run(Benchmarker *bench)
-{
-  pthread_t handles[N_THREADS] = {0};
-  for (size_t i = 0; i < N_THREADS; i++) {
-    if (pthread_create(&handles[i], NULL,
-                       thread_benchmark,
-                       &bench->threads[i]) != 0) {
-      fprintf(stderr, "ERROR: Failed to spawn thread %lu!\n", i);
-      exit(EXIT_FAILURE);
-    }
-  }
-
-  for (size_t i = 0; i < N_THREADS; i++) {
-    pthread_join(handles[i], NULL);
-  }
-}
-
-int main(int argc, char **argv)
-{
-  const char *output_path;
-
-  if (argc < 2 || strcmp(argv[1], "standard") == 0) {
-    getrf = dgetrf_;
-    output_path = OUTPUT_DIR "runtime-dgetrf.bin";
-  } else if (strcmp(argv[1], "naive") == 0) {
-    getrf = dgetrfnaive_;
-    output_path = OUTPUT_DIR "runtime-naive.bin";
-  } else if (strcmp(argv[1], "unblocked") == 0) {
-    getrf = dgetrf2_;
-    output_path = OUTPUT_DIR "runtime-unblocked.bin";
-  } else {
-    fprintf(stderr, "ERROR: unknown command \"%s\"\n", argv[1]);
-    fprintf(stderr, "USAGE: %s [standard|naive|unblocked]\n", argv[0]);
-    exit(EXIT_FAILURE);
-  }
-
-  // ========================================================================
-  printf("INFO: Initializing random input data... ");
-
-  // This array will live for the entire duration of the program,
-  // so we might as well leak it 🤡
-  double *ref_data = malloc(sizeof(double)*MAX_N*MAX_N);
-  if (ref_data == NULL) {
-    fprintf(stderr, "ERROR: Buy more RAM!\n");
-    exit(EXIT_FAILURE);
-  }
-
-  // Pseudorandom data given by the logistic map
-  double acc = LOGISTICS_INITIAL_CONDITION;
-  for (size_t i = 0; i < MAX_N*MAX_N; i++) {
-    ref_data[i] = acc;
-    acc = 1000. - acc*acc/500.;
-  }
-
-  printf("done!\n");
-
-  // ========================================================================
-  printf("INFO: Benchmarking the dgetrf function on %ux%u matrices... (using %u threads)\n",
-         MAX_N, MAX_N, N_THREADS);
-
-  Benchmarker bench = benchmarker_new(ref_data);
-  benchmarker_run(&bench);
-
-  // ========================================================================
-  printf("INFO: Done with benchmarking! Saving histogram to disk...\n");
-
-  FILE *output = fopen(output_path, "w");
-
-  if (output == NULL) {
-    fprintf(stderr,
-            "ERROR: Coundn't open output file \"%s\": %s",
-            output_path, strerror(errno));
-    return EXIT_FAILURE;
-  }
-  size_t written = fwrite(histogram, sizeof(uint32_t), HISTOGRAM_SIZE, output);
-
-  if (written < HISTOGRAM_SIZE) {
-    fprintf(stderr,
-            "ERROR: Failed to write histogram to output file \"%s\": %s\n",
-            output_path, strerror(errno));
-    return EXIT_FAILURE;
-  }
-
-  printf("INFO: Done!\n");
-
-  return EXIT_SUCCESS;
-}