glibc/benchtests/bench-skeleton.c
Wilco Dijkstra beb52f502f Improve math benchmark infrastructure
Improve support for math function benchmarking.  This patch adds
a feature that allows accurate benchmarking of traces extracted
from real workloads.  This is done by iterating over all samples
rather than repeating each sample many times (which completely
ignores branch prediction and cache effects).  A trace can be
added to existing math function inputs via
"## name: workload-<name>", followed by the trace.

        * benchtests/README: Describe workload feature.
        * benchtests/bench-skeleton.c (main): Add support for
        benchmarking traces from workloads.
2017-06-20 16:26:26 +01:00

164 lines
4.1 KiB
C

/* Skeleton for benchmark programs.
Copyright (C) 2013-2017 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
#include <string.h>
#include <stdint.h>
#include <stdbool.h>
#include <stdio.h>
#include <time.h>
#include <inttypes.h>
#include "bench-timing.h"
#include "json-lib.h"
#include "bench-util.h"
#include "bench-util.c"
#define TIMESPEC_AFTER(a, b) \
(((a).tv_sec == (b).tv_sec) ? \
((a).tv_nsec > (b).tv_nsec) : \
((a).tv_sec > (b).tv_sec))
int
main (int argc, char **argv)
{
unsigned long i, k;
struct timespec runtime;
timing_t start, end;
bool detailed = false;
json_ctx_t json_ctx;
if (argc == 2 && !strcmp (argv[1], "-d"))
detailed = true;
bench_start ();
memset (&runtime, 0, sizeof (runtime));
unsigned long iters, res;
#ifdef BENCH_INIT
BENCH_INIT ();
#endif
TIMING_INIT (res);
iters = 1000 * res;
json_init (&json_ctx, 2, stdout);
/* Begin function. */
json_attr_object_begin (&json_ctx, FUNCNAME);
for (int v = 0; v < NUM_VARIANTS; v++)
{
/* Run for approximately DURATION seconds. */
clock_gettime (CLOCK_MONOTONIC_RAW, &runtime);
runtime.tv_sec += DURATION;
bool is_bench = strncmp (VARIANT (v), "workload-", 9) == 0;
double d_total_i = 0;
timing_t total = 0, max = 0, min = 0x7fffffffffffffff;
int64_t c = 0;
uint64_t cur;
while (1)
{
if (is_bench)
{
/* Benchmark a real trace of calls - all samples are iterated
over once before repeating. This models actual use more
accurately than repeating the same sample many times. */
TIMING_NOW (start);
for (k = 0; k < iters; k++)
for (i = 0; i < NUM_SAMPLES (v); i++)
BENCH_FUNC (v, i);
TIMING_NOW (end);
TIMING_DIFF (cur, start, end);
TIMING_ACCUM (total, cur);
d_total_i += iters * NUM_SAMPLES (v);
}
else
for (i = 0; i < NUM_SAMPLES (v); i++)
{
TIMING_NOW (start);
for (k = 0; k < iters; k++)
BENCH_FUNC (v, i);
TIMING_NOW (end);
TIMING_DIFF (cur, start, end);
if (cur > max)
max = cur;
if (cur < min)
min = cur;
TIMING_ACCUM (total, cur);
/* Accumulate timings for the value. In the end we will divide
by the total iterations. */
RESULT_ACCUM (cur, v, i, c * iters, (c + 1) * iters);
d_total_i += iters;
}
c++;
struct timespec curtime;
memset (&curtime, 0, sizeof (curtime));
clock_gettime (CLOCK_MONOTONIC_RAW, &curtime);
if (TIMESPEC_AFTER (curtime, runtime))
goto done;
}
double d_total_s;
double d_iters;
done:
d_total_s = total;
d_iters = iters;
/* Begin variant. */
json_attr_object_begin (&json_ctx, VARIANT (v));
json_attr_double (&json_ctx, "duration", d_total_s);
json_attr_double (&json_ctx, "iterations", d_total_i);
if (is_bench)
json_attr_double (&json_ctx, "throughput", d_total_s / d_total_i);
else
{
json_attr_double (&json_ctx, "max", max / d_iters);
json_attr_double (&json_ctx, "min", min / d_iters);
json_attr_double (&json_ctx, "mean", d_total_s / d_total_i);
}
if (detailed && !is_bench)
{
json_array_begin (&json_ctx, "timings");
for (int i = 0; i < NUM_SAMPLES (v); i++)
json_element_double (&json_ctx, RESULT (v, i));
json_array_end (&json_ctx);
}
/* End variant. */
json_attr_object_end (&json_ctx);
}
/* End function. */
json_attr_object_end (&json_ctx);
return 0;
}