From: Bruno Randolf <br1@einfach.org>
Date: Thu, 2 Dec 2010 10:50:37 +0000 (+0900)
Subject: lib: Improve EWMA efficiency by using bitshifts
X-Git-Tag: v2.6.38-rc1~476^2~169^2^2~76
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=af5568843594fb71055debe36e521fa8072fcecc;p=platform%2Fkernel%2Flinux-3.10.git

lib: Improve EWMA efficiency by using bitshifts

Using bitshifts instead of division and multiplication should improve
performance. That requires weight and factor to be powers of two, but i think
this is something we can live with.

Thanks to Peter Zijlstra for the improved formula!

Signed-off-by: Bruno Randolf <br1@einfach.org>

--

v2:	use log2.h functions
Signed-off-by: John W. Linville <linville@tuxdriver.com>
---

diff --git a/include/linux/average.h b/include/linux/average.h
index 7706e40..c6028fd 100644
--- a/include/linux/average.h
+++ b/include/linux/average.h
@@ -1,8 +1,6 @@
 #ifndef _LINUX_AVERAGE_H
 #define _LINUX_AVERAGE_H
 
-#include <linux/kernel.h>
-
 /* Exponentially weighted moving average (EWMA) */
 
 /* For more documentation see lib/average.c */
@@ -26,7 +24,7 @@ extern struct ewma *ewma_add(struct ewma *avg, unsigned long val);
  */
 static inline unsigned long ewma_read(const struct ewma *avg)
 {
-	return DIV_ROUND_CLOSEST(avg->internal, avg->factor);
+	return avg->internal >> avg->factor;
 }
 
 #endif /* _LINUX_AVERAGE_H */
diff --git a/lib/average.c b/lib/average.c
index f1d1b46..5576c28 100644
--- a/lib/average.c
+++ b/lib/average.c
@@ -8,6 +8,7 @@
 #include <linux/module.h>
 #include <linux/average.h>
 #include <linux/bug.h>
+#include <linux/log2.h>
 
 /**
  * DOC: Exponentially Weighted Moving Average (EWMA)
@@ -24,18 +25,21 @@
  * ewma_init() - Initialize EWMA parameters
  * @avg: Average structure
  * @factor: Factor to use for the scaled up internal value. The maximum value
- *	of averages can be ULONG_MAX/(factor*weight).
+ *	of averages can be ULONG_MAX/(factor*weight). For performance reasons
+ *	factor has to be a power of 2.
  * @weight: Exponential weight, or decay rate. This defines how fast the
- *	influence of older values decreases. Has to be bigger than 1.
+ *	influence of older values decreases. For performance reasons weight has
+ *	to be a power of 2.
  *
  * Initialize the EWMA parameters for a given struct ewma @avg.
  */
 void ewma_init(struct ewma *avg, unsigned long factor, unsigned long weight)
 {
-	WARN_ON(weight <= 1 || factor == 0);
+	WARN_ON(!is_power_of_2(weight) || !is_power_of_2(factor));
+
+	avg->weight = ilog2(weight);
+	avg->factor = ilog2(factor);
 	avg->internal = 0;
-	avg->weight = weight;
-	avg->factor = factor;
 }
 EXPORT_SYMBOL(ewma_init);
 
@@ -49,9 +53,9 @@ EXPORT_SYMBOL(ewma_init);
 struct ewma *ewma_add(struct ewma *avg, unsigned long val)
 {
 	avg->internal = avg->internal  ?
-		(((avg->internal * (avg->weight - 1)) +
-			(val * avg->factor)) / avg->weight) :
-		(val * avg->factor);
+		(((avg->internal << avg->weight) - avg->internal) +
+			(val << avg->factor)) >> avg->weight :
+		(val << avg->factor);
 	return avg;
 }
 EXPORT_SYMBOL(ewma_add);