Add a new benchmark for isinf/isnan/isnormal/isfinite/fpclassify. The test uses 2 arrays with 1024 doubles, one with 99% finite FP numbers (10% zeroes, 10% negative) and 1% inf/NaN, the other with 50% inf, and 50% Nan.

ChangeLog:
2015-09-18  Wilco Dijkstra  <wdijkstr@arm.com>

	* benchtests/Makefile: Add bench-math-inlines, link with libm.
	* benchtests/bench-math-inlines.c: New benchmark.
	* benchtests/bench-util.h: New file.
	* benchtests/bench-util.c: New file.
	* benchtests/bench-skeleton.c: Add include of bench-util.c/h.

1 files changed, 285 insertions, 0 deletions

diff --git a/benchtests/bench-math-inlines.c b/benchtests/bench-math-inlines.c
new file mode 100644
index 0000000000..a70fb33063
--- /dev/null
+++ b/benchtests/bench-math-inlines.c
@@ -0,0 +1,285 @@
+/* Measure math inline functions.
+   Copyright (C) 2015 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/>.  */
+
+#define SIZE 1024
+#define TEST_MAIN
+#define TEST_NAME "math-inlines"
+#define TEST_FUNCTION test_main ()
+#include "bench-timing.h"
+#include "json-lib.h"
+#include "bench-util.h"
+
+#include <stdlib.h>
+#include <math.h>
+#include <stdint.h>
+
+#define BOOLTEST(func)					  \
+static int __attribute__((noinline))			  \
+func ## _f (double d, int i)				  \
+{							  \
+  if (func (d))						  \
+    return (int) d + i;					  \
+  else							  \
+    return 5;						  \
+}							  \
+static int						  \
+func ## _t (volatile double *p, size_t n, size_t iters)   \
+{							  \
+  int i, j;						  \
+  int res = 0;						  \
+  for (j = 0; j < iters; j++)				  \
+    for (i = 0; i < n; i++)				  \
+      if (func ## _f (p[i] * 2.0, i) != 0)		  \
+	res += 5;					  \
+  return res;						  \
+}
+
+#define VALUETEST(func)					  \
+static int __attribute__((noinline))			  \
+func ## _f (double d)					  \
+{							  \
+  return func (d);					  \
+}							  \
+static int						  \
+func ## _t (volatile double *p, size_t n, size_t iters)	  \
+{							  \
+  int i, j;						  \
+  int res = 0;						  \
+  for (j = 0; j < iters; j++)				  \
+    for (i = 0; i < n; i++)				  \
+      res += func ## _f (p[i] * 2.0);			  \
+  return res;						  \
+}
+
+typedef union
+{
+  double value;
+  uint64_t word;
+} ieee_double_shape_type;
+
+#define EXTRACT_WORDS64(i,d)				  \
+do {							  \
+  ieee_double_shape_type gh_u;				  \
+  gh_u.value = (d);					  \
+  (i) = gh_u.word;					  \
+} while (0)
+
+/* Inlines similar to existing math_private.h versions.  */
+
+static __always_inline int
+__isnan_inl (double d)
+{
+  uint64_t di;
+  EXTRACT_WORDS64 (di, d);
+  return (di & 0x7fffffffffffffffull) > 0x7ff0000000000000ull;
+}
+
+static __always_inline int
+__isinf_ns2 (double d)
+{
+  uint64_t di;
+  EXTRACT_WORDS64 (di, d);
+  return (di & 0x7fffffffffffffffull) == 0x7ff0000000000000ull;
+}
+
+static __always_inline int
+__finite_inl (double d)
+{
+  uint64_t di;
+  EXTRACT_WORDS64 (di, d);
+  return (di & 0x7fffffffffffffffull) < 0x7ff0000000000000ull;
+}
+
+#define __isnormal_inl(X) (__fpclassify (X) == FP_NORMAL)
+
+/* Inlines for the builtin functions.  */
+
+#define __isnan_builtin(X) __builtin_isnan (X)
+#define __isinf_ns_builtin(X) __builtin_isinf (X)
+#define __isinf_builtin(X) __builtin_isinf_sign (X)
+#define __isfinite_builtin(X) __builtin_isfinite (X)
+#define __isnormal_builtin(X) __builtin_isnormal (X)
+#define __fpclassify_builtin(X) __builtin_fpclassify (FP_NAN, FP_INFINITE,  \
+				  FP_NORMAL, FP_SUBNORMAL, FP_ZERO, (X))
+
+static double __attribute ((noinline))
+kernel_standard (double x, double y, int z)
+{
+  return x * y + z;
+}
+
+volatile double rem1 = 2.5;
+
+static __always_inline double
+remainder_test1 (double x)
+{
+  double y = rem1;
+  if (((__builtin_expect (y == 0.0, 0) && !__isnan_inl (x))
+	|| (__builtin_expect (__isinf_ns2 (x), 0) && !__isnan_inl (y))))
+    return kernel_standard (x, y, 10);
+
+  return remainder (x, y);
+}
+
+static __always_inline double
+remainder_test2 (double x)
+{
+  double y = rem1;
+  if (((__builtin_expect (y == 0.0, 0) && !__builtin_isnan (x))
+	|| (__builtin_expect (__builtin_isinf (x), 0) && !__builtin_isnan (y))))
+    return kernel_standard (x, y, 10);
+
+  return remainder (x, y);
+}
+
+/* Create test functions for each possibility.  */
+
+BOOLTEST (__isnan)
+BOOLTEST (__isnan_inl)
+BOOLTEST (__isnan_builtin)
+BOOLTEST (isnan)
+
+BOOLTEST (__isinf)
+BOOLTEST (__isinf_builtin)
+BOOLTEST (__isinf_ns2)
+BOOLTEST (__isinf_ns_builtin)
+BOOLTEST (isinf)
+
+BOOLTEST (__finite)
+BOOLTEST (__finite_inl)
+BOOLTEST (__isfinite_builtin)
+BOOLTEST (isfinite)
+
+BOOLTEST (__isnormal_inl)
+BOOLTEST (__isnormal_builtin)
+BOOLTEST (isnormal)
+
+VALUETEST (__fpclassify)
+VALUETEST (__fpclassify_builtin)
+VALUETEST (fpclassify)
+
+VALUETEST (remainder_test1)
+VALUETEST (remainder_test2)
+
+typedef int (*proto_t) (volatile double *p, size_t n, size_t iters);
+
+typedef struct
+{
+  const char *name;
+  proto_t fn;
+} impl_t;
+
+#define IMPL(name) { #name, name ## _t }
+
+static impl_t test_list[] =
+{
+  IMPL (__isnan),
+  IMPL (__isnan_inl),
+  IMPL (__isnan_builtin),
+  IMPL (isnan),
+
+  IMPL (__isinf),
+  IMPL (__isinf_ns2),
+  IMPL (__isinf_ns_builtin),
+  IMPL (__isinf_builtin),
+  IMPL (isinf),
+
+  IMPL (__finite),
+  IMPL (__finite_inl),
+  IMPL (__isfinite_builtin),
+  IMPL (isfinite),
+
+  IMPL (__isnormal_inl),
+  IMPL (__isnormal_builtin),
+  IMPL (isnormal),
+
+  IMPL (__fpclassify),
+  IMPL (__fpclassify_builtin),
+  IMPL (fpclassify),
+
+  IMPL (remainder_test1),
+  IMPL (remainder_test2)
+};
+
+static void
+do_one_test (json_ctx_t *json_ctx, proto_t test_fn, volatile double *arr,
+	     size_t len, const char *testname)
+{
+  size_t iters = 500;
+  timing_t start, stop, cur;
+
+  json_attr_object_begin (json_ctx, testname);
+
+  TIMING_NOW (start);
+  test_fn (arr, len, iters);
+  TIMING_NOW (stop);
+  TIMING_DIFF (cur, start, stop);
+
+  json_attr_double (json_ctx, "duration", cur);
+  json_attr_double (json_ctx, "iterations", iters);
+  json_attr_double (json_ctx, "mean", cur / iters);
+  json_attr_object_end (json_ctx);
+}
+
+static volatile double arr1[SIZE];
+static volatile double arr2[SIZE];
+
+int
+test_main (void)
+{
+  json_ctx_t json_ctx;
+  size_t i;
+
+  bench_start ();
+
+  json_init (&json_ctx, 2, stdout);
+  json_attr_object_begin (&json_ctx, TEST_NAME);
+
+  /* Create 2 test arrays, one with 10% zeroes, 10% negative values,
+     79% positive values and 1% infinity/NaN.  The other contains
+     50% inf, 50% NaN.  This relies on rand behaving correctly.  */
+
+  for (i = 0; i < SIZE; i++)
+    {
+      int x = rand () & 255;
+      arr1[i] = (x < 25) ? 0.0 : ((x < 50) ? -1 : 100);
+      if (x == 255) arr1[i] = __builtin_inf ();
+      if (x == 254) arr1[i] = __builtin_nan ("0");
+      arr2[i] = (x < 128) ? __builtin_inf () : __builtin_nan ("0");
+    }
+
+  for (i = 0; i < sizeof (test_list) / sizeof (test_list[0]); i++)
+    {
+      json_attr_object_begin (&json_ctx, test_list[i].name);
+      do_one_test (&json_ctx, test_list[i].fn, arr2, SIZE, "inf/nan");
+      json_attr_object_end (&json_ctx);
+    }
+
+  for (i = 0; i < sizeof (test_list) / sizeof (test_list[0]); i++)
+    {
+      json_attr_object_begin (&json_ctx, test_list[i].name);
+      do_one_test (&json_ctx, test_list[i].fn, arr1, SIZE, "normal");
+      json_attr_object_end (&json_ctx);
+    }
+
+  json_attr_object_end (&json_ctx);
+  return 0;
+}
+
+#include "bench-util.c"
+#include "../test-skeleton.c"