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authorakpm@osdl.org <akpm@osdl.org>2006-01-12 01:05:30 -0800
committerLinus Torvalds <torvalds@g5.osdl.org>2006-01-12 09:08:50 -0800
commit198e2f181163233b379dc7ce8a6d7516b84042e7 (patch)
treecc4067ca1c81034ba8d214b7ff4c39f2f5be66ee
parent4dc7a0bbeb6882ad665e588e82fabe5bb4645f2f (diff)
downloadlinux-198e2f181163233b379dc7ce8a6d7516b84042e7.tar.gz
[PATCH] scheduler cache-hot-autodetect
) From: Ingo Molnar <mingo@elte.hu> This is the latest version of the scheduler cache-hot-auto-tune patch. The first problem was that detection time scaled with O(N^2), which is unacceptable on larger SMP and NUMA systems. To solve this: - I've added a 'domain distance' function, which is used to cache measurement results. Each distance is only measured once. This means that e.g. on NUMA distances of 0, 1 and 2 might be measured, on HT distances 0 and 1, and on SMP distance 0 is measured. The code walks the domain tree to determine the distance, so it automatically follows whatever hierarchy an architecture sets up. This cuts down on the boot time significantly and removes the O(N^2) limit. The only assumption is that migration costs can be expressed as a function of domain distance - this covers the overwhelming majority of existing systems, and is a good guess even for more assymetric systems. [ People hacking systems that have assymetries that break this assumption (e.g. different CPU speeds) should experiment a bit with the cpu_distance() function. Adding a ->migration_distance factor to the domain structure would be one possible solution - but lets first see the problem systems, if they exist at all. Lets not overdesign. ] Another problem was that only a single cache-size was used for measuring the cost of migration, and most architectures didnt set that variable up. Furthermore, a single cache-size does not fit NUMA hierarchies with L3 caches and does not fit HT setups, where different CPUs will often have different 'effective cache sizes'. To solve this problem: - Instead of relying on a single cache-size provided by the platform and sticking to it, the code now auto-detects the 'effective migration cost' between two measured CPUs, via iterating through a wide range of cachesizes. The code searches for the maximum migration cost, which occurs when the working set of the test-workload falls just below the 'effective cache size'. I.e. real-life optimized search is done for the maximum migration cost, between two real CPUs. This, amongst other things, has the positive effect hat if e.g. two CPUs share a L2/L3 cache, a different (and accurate) migration cost will be found than between two CPUs on the same system that dont share any caches. (The reliable measurement of migration costs is tricky - see the source for details.) Furthermore i've added various boot-time options to override/tune migration behavior. Firstly, there's a blanket override for autodetection: migration_cost=1000,2000,3000 will override the depth 0/1/2 values with 1msec/2msec/3msec values. Secondly, there's a global factor that can be used to increase (or decrease) the autodetected values: migration_factor=120 will increase the autodetected values by 20%. This option is useful to tune things in a workload-dependent way - e.g. if a workload is cache-insensitive then CPU utilization can be maximized by specifying migration_factor=0. I've tested the autodetection code quite extensively on x86, on 3 P3/Xeon/2MB, and the autodetected values look pretty good: Dual Celeron (128K L2 cache): --------------------- migration cost matrix (max_cache_size: 131072, cpu: 467 MHz): --------------------- [00] [01] [00]: - 1.7(1) [01]: 1.7(1) - --------------------- cacheflush times [2]: 0.0 (0) 1.7 (1784008) --------------------- Here the slow memory subsystem dominates system performance, and even though caches are small, the migration cost is 1.7 msecs. Dual HT P4 (512K L2 cache): --------------------- migration cost matrix (max_cache_size: 524288, cpu: 2379 MHz): --------------------- [00] [01] [02] [03] [00]: - 0.4(1) 0.0(0) 0.4(1) [01]: 0.4(1) - 0.4(1) 0.0(0) [02]: 0.0(0) 0.4(1) - 0.4(1) [03]: 0.4(1) 0.0(0) 0.4(1) - --------------------- cacheflush times [2]: 0.0 (33900) 0.4 (448514) --------------------- Here it can be seen that there is no migration cost between two HT siblings (CPU#0/2 and CPU#1/3 are separate physical CPUs). A fast memory system makes inter-physical-CPU migration pretty cheap: 0.4 msecs. 8-way P3/Xeon [2MB L2 cache]: --------------------- migration cost matrix (max_cache_size: 2097152, cpu: 700 MHz): --------------------- [00] [01] [02] [03] [04] [05] [06] [07] [00]: - 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) [01]: 19.2(1) - 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) [02]: 19.2(1) 19.2(1) - 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) [03]: 19.2(1) 19.2(1) 19.2(1) - 19.2(1) 19.2(1) 19.2(1) 19.2(1) [04]: 19.2(1) 19.2(1) 19.2(1) 19.2(1) - 19.2(1) 19.2(1) 19.2(1) [05]: 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) - 19.2(1) 19.2(1) [06]: 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) - 19.2(1) [07]: 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) 19.2(1) - --------------------- cacheflush times [2]: 0.0 (0) 19.2 (19281756) --------------------- This one has huge caches and a relatively slow memory subsystem - so the migration cost is 19 msecs. Signed-off-by: Ingo Molnar <mingo@elte.hu> Signed-off-by: Ashok Raj <ashok.raj@intel.com> Signed-off-by: Ken Chen <kenneth.w.chen@intel.com> Cc: <wilder@us.ibm.com> Signed-off-by: John Hawkes <hawkes@sgi.com> Signed-off-by: Andrew Morton <akpm@osdl.org> Signed-off-by: Linus Torvalds <torvalds@osdl.org>
-rw-r--r--Documentation/kernel-parameters.txt43
-rw-r--r--arch/i386/kernel/smpboot.c1
-rw-r--r--arch/ia64/kernel/setup.c6
-rw-r--r--arch/ppc/xmon/xmon.c2
-rw-r--r--include/asm-i386/topology.h1
-rw-r--r--include/asm-ia64/topology.h2
-rw-r--r--include/asm-mips/mach-ip27/topology.h1
-rw-r--r--include/asm-powerpc/topology.h1
-rw-r--r--include/asm-x86_64/topology.h1
-rw-r--r--include/linux/sched.h9
-rw-r--r--include/linux/topology.h2
-rw-r--r--kernel/sched.c468
12 files changed, 527 insertions, 10 deletions
diff --git a/Documentation/kernel-parameters.txt b/Documentation/kernel-parameters.txt
index dd0bfc291a682e..fe11fccf7e41bd 100644
--- a/Documentation/kernel-parameters.txt
+++ b/Documentation/kernel-parameters.txt
@@ -856,6 +856,49 @@ running once the system is up.
mga= [HW,DRM]
+ migration_cost=
+ [KNL,SMP] debug: override scheduler migration costs
+ Format: <level-1-usecs>,<level-2-usecs>,...
+ This debugging option can be used to override the
+ default scheduler migration cost matrix. The numbers
+ are indexed by 'CPU domain distance'.
+ E.g. migration_cost=1000,2000,3000 on an SMT NUMA
+ box will set up an intra-core migration cost of
+ 1 msec, an inter-core migration cost of 2 msecs,
+ and an inter-node migration cost of 3 msecs.
+
+ WARNING: using the wrong values here can break
+ scheduler performance, so it's only for scheduler
+ development purposes, not production environments.
+
+ migration_debug=
+ [KNL,SMP] migration cost auto-detect verbosity
+ Format=<0|1|2>
+ If a system's migration matrix reported at bootup
+ seems erroneous then this option can be used to
+ increase verbosity of the detection process.
+ We default to 0 (no extra messages), 1 will print
+ some more information, and 2 will be really
+ verbose (probably only useful if you also have a
+ serial console attached to the system).
+
+ migration_factor=
+ [KNL,SMP] multiply/divide migration costs by a factor
+ Format=<percent>
+ This debug option can be used to proportionally
+ increase or decrease the auto-detected migration
+ costs for all entries of the migration matrix.
+ E.g. migration_factor=150 will increase migration
+ costs by 50%. (and thus the scheduler will be less
+ eager migrating cache-hot tasks)
+ migration_factor=80 will decrease migration costs
+ by 20%. (thus the scheduler will be more eager to
+ migrate tasks)
+
+ WARNING: using the wrong values here can break
+ scheduler performance, so it's only for scheduler
+ development purposes, not production environments.
+
mousedev.tap_time=
[MOUSE] Maximum time between finger touching and
leaving touchpad surface for touch to be considered
diff --git a/arch/i386/kernel/smpboot.c b/arch/i386/kernel/smpboot.c
index b3c2e2c2674338..a9bf5f222e4787 100644
--- a/arch/i386/kernel/smpboot.c
+++ b/arch/i386/kernel/smpboot.c
@@ -1096,6 +1096,7 @@ static void smp_tune_scheduling (void)
cachesize = 16; /* Pentiums, 2x8kB cache */
bandwidth = 100;
}
+ max_cache_size = cachesize * 1024;
}
}
diff --git a/arch/ia64/kernel/setup.c b/arch/ia64/kernel/setup.c
index d91c8ff2c0d7d3..0daa8fa9ef32c8 100644
--- a/arch/ia64/kernel/setup.c
+++ b/arch/ia64/kernel/setup.c
@@ -696,6 +696,7 @@ static void
get_max_cacheline_size (void)
{
unsigned long line_size, max = 1;
+ unsigned int cache_size = 0;
u64 l, levels, unique_caches;
pal_cache_config_info_t cci;
s64 status;
@@ -725,6 +726,8 @@ get_max_cacheline_size (void)
line_size = 1 << cci.pcci_line_size;
if (line_size > max)
max = line_size;
+ if (cache_size < cci.pcci_cache_size)
+ cache_size = cci.pcci_cache_size;
if (!cci.pcci_unified) {
status = ia64_pal_cache_config_info(l,
/* cache_type (instruction)= */ 1,
@@ -741,6 +744,9 @@ get_max_cacheline_size (void)
ia64_i_cache_stride_shift = cci.pcci_stride;
}
out:
+#ifdef CONFIG_SMP
+ max_cache_size = max(max_cache_size, cache_size);
+#endif
if (max > ia64_max_cacheline_size)
ia64_max_cacheline_size = max;
}
diff --git a/arch/ppc/xmon/xmon.c b/arch/ppc/xmon/xmon.c
index 2b483b4f1602b1..9075a7538e2641 100644
--- a/arch/ppc/xmon/xmon.c
+++ b/arch/ppc/xmon/xmon.c
@@ -99,7 +99,7 @@ static void remove_bpts(void);
static void insert_bpts(void);
static struct bpt *at_breakpoint(unsigned pc);
static void bpt_cmds(void);
-static void cacheflush(void);
+void cacheflush(void);
#ifdef CONFIG_SMP
static void cpu_cmd(void);
#endif /* CONFIG_SMP */
diff --git a/include/asm-i386/topology.h b/include/asm-i386/topology.h
index 0ec27c9e8e45ba..d7e19eb344b7ab 100644
--- a/include/asm-i386/topology.h
+++ b/include/asm-i386/topology.h
@@ -72,7 +72,6 @@ static inline int node_to_first_cpu(int node)
.max_interval = 32, \
.busy_factor = 32, \
.imbalance_pct = 125, \
- .cache_hot_time = (10*1000000), \
.cache_nice_tries = 1, \
.busy_idx = 3, \
.idle_idx = 1, \
diff --git a/include/asm-ia64/topology.h b/include/asm-ia64/topology.h
index f7c330467e7e92..d8aae4da397894 100644
--- a/include/asm-ia64/topology.h
+++ b/include/asm-ia64/topology.h
@@ -55,7 +55,6 @@ void build_cpu_to_node_map(void);
.max_interval = 4, \
.busy_factor = 64, \
.imbalance_pct = 125, \
- .cache_hot_time = (10*1000000), \
.per_cpu_gain = 100, \
.cache_nice_tries = 2, \
.busy_idx = 2, \
@@ -81,7 +80,6 @@ void build_cpu_to_node_map(void);
.max_interval = 8*(min(num_online_cpus(), 32)), \
.busy_factor = 64, \
.imbalance_pct = 125, \
- .cache_hot_time = (10*1000000), \
.cache_nice_tries = 2, \
.busy_idx = 3, \
.idle_idx = 2, \
diff --git a/include/asm-mips/mach-ip27/topology.h b/include/asm-mips/mach-ip27/topology.h
index 82141c711c338a..59d26b52ba321a 100644
--- a/include/asm-mips/mach-ip27/topology.h
+++ b/include/asm-mips/mach-ip27/topology.h
@@ -27,7 +27,6 @@ extern unsigned char __node_distances[MAX_COMPACT_NODES][MAX_COMPACT_NODES];
.max_interval = 32, \
.busy_factor = 32, \
.imbalance_pct = 125, \
- .cache_hot_time = (10*1000), \
.cache_nice_tries = 1, \
.per_cpu_gain = 100, \
.flags = SD_LOAD_BALANCE \
diff --git a/include/asm-powerpc/topology.h b/include/asm-powerpc/topology.h
index 9f3d4da261c478..1e19cd00af2585 100644
--- a/include/asm-powerpc/topology.h
+++ b/include/asm-powerpc/topology.h
@@ -39,7 +39,6 @@ static inline int node_to_first_cpu(int node)
.max_interval = 32, \
.busy_factor = 32, \
.imbalance_pct = 125, \
- .cache_hot_time = (10*1000000), \
.cache_nice_tries = 1, \
.per_cpu_gain = 100, \
.busy_idx = 3, \
diff --git a/include/asm-x86_64/topology.h b/include/asm-x86_64/topology.h
index 7d82bc56b9fae2..2fa7f27381b40b 100644
--- a/include/asm-x86_64/topology.h
+++ b/include/asm-x86_64/topology.h
@@ -39,7 +39,6 @@ extern int __node_distance(int, int);
.max_interval = 32, \
.busy_factor = 32, \
.imbalance_pct = 125, \
- .cache_hot_time = (10*1000000), \
.cache_nice_tries = 2, \
.busy_idx = 3, \
.idle_idx = 2, \
diff --git a/include/linux/sched.h b/include/linux/sched.h
index 3b74c4bf2934b4..5d6b9228bba930 100644
--- a/include/linux/sched.h
+++ b/include/linux/sched.h
@@ -631,7 +631,14 @@ struct sched_domain {
extern void partition_sched_domains(cpumask_t *partition1,
cpumask_t *partition2);
-#endif /* CONFIG_SMP */
+
+/*
+ * Maximum cache size the migration-costs auto-tuning code will
+ * search from:
+ */
+extern unsigned int max_cache_size;
+
+#endif /* CONFIG_SMP */
struct io_context; /* See blkdev.h */
diff --git a/include/linux/topology.h b/include/linux/topology.h
index 3df1d474e5c56d..315a5163d6a01a 100644
--- a/include/linux/topology.h
+++ b/include/linux/topology.h
@@ -86,7 +86,6 @@
.max_interval = 2, \
.busy_factor = 8, \
.imbalance_pct = 110, \
- .cache_hot_time = 0, \
.cache_nice_tries = 0, \
.per_cpu_gain = 25, \
.busy_idx = 0, \
@@ -117,7 +116,6 @@
.max_interval = 4, \
.busy_factor = 64, \
.imbalance_pct = 125, \
- .cache_hot_time = (5*1000000/2), \
.cache_nice_tries = 1, \
.per_cpu_gain = 100, \
.busy_idx = 2, \
diff --git a/kernel/sched.c b/kernel/sched.c
index c0c60c926d5eaf..98461de1ab651e 100644
--- a/kernel/sched.c
+++ b/kernel/sched.c
@@ -34,6 +34,7 @@
#include <linux/notifier.h>
#include <linux/profile.h>
#include <linux/suspend.h>
+#include <linux/vmalloc.h>
#include <linux/blkdev.h>
#include <linux/delay.h>
#include <linux/smp.h>
@@ -5082,7 +5083,470 @@ static void init_sched_build_groups(struct sched_group groups[], cpumask_t span,
#define SD_NODES_PER_DOMAIN 16
+/*
+ * Self-tuning task migration cost measurement between source and target CPUs.
+ *
+ * This is done by measuring the cost of manipulating buffers of varying
+ * sizes. For a given buffer-size here are the steps that are taken:
+ *
+ * 1) the source CPU reads+dirties a shared buffer
+ * 2) the target CPU reads+dirties the same shared buffer
+ *
+ * We measure how long they take, in the following 4 scenarios:
+ *
+ * - source: CPU1, target: CPU2 | cost1
+ * - source: CPU2, target: CPU1 | cost2
+ * - source: CPU1, target: CPU1 | cost3
+ * - source: CPU2, target: CPU2 | cost4
+ *
+ * We then calculate the cost3+cost4-cost1-cost2 difference - this is
+ * the cost of migration.
+ *
+ * We then start off from a small buffer-size and iterate up to larger
+ * buffer sizes, in 5% steps - measuring each buffer-size separately, and
+ * doing a maximum search for the cost. (The maximum cost for a migration
+ * normally occurs when the working set size is around the effective cache
+ * size.)
+ */
+#define SEARCH_SCOPE 2
+#define MIN_CACHE_SIZE (64*1024U)
+#define DEFAULT_CACHE_SIZE (5*1024*1024U)
+#define ITERATIONS 2
+#define SIZE_THRESH 130
+#define COST_THRESH 130
+
+/*
+ * The migration cost is a function of 'domain distance'. Domain
+ * distance is the number of steps a CPU has to iterate down its
+ * domain tree to share a domain with the other CPU. The farther
+ * two CPUs are from each other, the larger the distance gets.
+ *
+ * Note that we use the distance only to cache measurement results,
+ * the distance value is not used numerically otherwise. When two
+ * CPUs have the same distance it is assumed that the migration
+ * cost is the same. (this is a simplification but quite practical)
+ */
+#define MAX_DOMAIN_DISTANCE 32
+
+static unsigned long long migration_cost[MAX_DOMAIN_DISTANCE] =
+ { [ 0 ... MAX_DOMAIN_DISTANCE-1 ] = -1LL };
+
+/*
+ * Allow override of migration cost - in units of microseconds.
+ * E.g. migration_cost=1000,2000,3000 will set up a level-1 cost
+ * of 1 msec, level-2 cost of 2 msecs and level3 cost of 3 msecs:
+ */
+static int __init migration_cost_setup(char *str)
+{
+ int ints[MAX_DOMAIN_DISTANCE+1], i;
+
+ str = get_options(str, ARRAY_SIZE(ints), ints);
+
+ printk("#ints: %d\n", ints[0]);
+ for (i = 1; i <= ints[0]; i++) {
+ migration_cost[i-1] = (unsigned long long)ints[i]*1000;
+ printk("migration_cost[%d]: %Ld\n", i-1, migration_cost[i-1]);
+ }
+ return 1;
+}
+
+__setup ("migration_cost=", migration_cost_setup);
+
+/*
+ * Global multiplier (divisor) for migration-cutoff values,
+ * in percentiles. E.g. use a value of 150 to get 1.5 times
+ * longer cache-hot cutoff times.
+ *
+ * (We scale it from 100 to 128 to long long handling easier.)
+ */
+
+#define MIGRATION_FACTOR_SCALE 128
+
+static unsigned int migration_factor = MIGRATION_FACTOR_SCALE;
+
+static int __init setup_migration_factor(char *str)
+{
+ get_option(&str, &migration_factor);
+ migration_factor = migration_factor * MIGRATION_FACTOR_SCALE / 100;
+ return 1;
+}
+
+__setup("migration_factor=", setup_migration_factor);
+
+/*
+ * Estimated distance of two CPUs, measured via the number of domains
+ * we have to pass for the two CPUs to be in the same span:
+ */
+static unsigned long domain_distance(int cpu1, int cpu2)
+{
+ unsigned long distance = 0;
+ struct sched_domain *sd;
+
+ for_each_domain(cpu1, sd) {
+ WARN_ON(!cpu_isset(cpu1, sd->span));
+ if (cpu_isset(cpu2, sd->span))
+ return distance;
+ distance++;
+ }
+ if (distance >= MAX_DOMAIN_DISTANCE) {
+ WARN_ON(1);
+ distance = MAX_DOMAIN_DISTANCE-1;
+ }
+
+ return distance;
+}
+
+static unsigned int migration_debug;
+
+static int __init setup_migration_debug(char *str)
+{
+ get_option(&str, &migration_debug);
+ return 1;
+}
+
+__setup("migration_debug=", setup_migration_debug);
+
+/*
+ * Maximum cache-size that the scheduler should try to measure.
+ * Architectures with larger caches should tune this up during
+ * bootup. Gets used in the domain-setup code (i.e. during SMP
+ * bootup).
+ */
+unsigned int max_cache_size;
+
+static int __init setup_max_cache_size(char *str)
+{
+ get_option(&str, &max_cache_size);
+ return 1;
+}
+
+__setup("max_cache_size=", setup_max_cache_size);
+
+/*
+ * Dirty a big buffer in a hard-to-predict (for the L2 cache) way. This
+ * is the operation that is timed, so we try to generate unpredictable
+ * cachemisses that still end up filling the L2 cache:
+ */
+static void touch_cache(void *__cache, unsigned long __size)
+{
+ unsigned long size = __size/sizeof(long), chunk1 = size/3,
+ chunk2 = 2*size/3;
+ unsigned long *cache = __cache;
+ int i;
+
+ for (i = 0; i < size/6; i += 8) {
+ switch (i % 6) {
+ case 0: cache[i]++;
+ case 1: cache[size-1-i]++;
+ case 2: cache[chunk1-i]++;
+ case 3: cache[chunk1+i]++;
+ case 4: cache[chunk2-i]++;
+ case 5: cache[chunk2+i]++;
+ }
+ }
+}
+
+/*
+ * Measure the cache-cost of one task migration. Returns in units of nsec.
+ */
+static unsigned long long measure_one(void *cache, unsigned long size,
+ int source, int target)
+{
+ cpumask_t mask, saved_mask;
+ unsigned long long t0, t1, t2, t3, cost;
+
+ saved_mask = current->cpus_allowed;
+
+ /*
+ * Flush source caches to RAM and invalidate them:
+ */
+ sched_cacheflush();
+
+ /*
+ * Migrate to the source CPU:
+ */
+ mask = cpumask_of_cpu(source);
+ set_cpus_allowed(current, mask);
+ WARN_ON(smp_processor_id() != source);
+
+ /*
+ * Dirty the working set:
+ */
+ t0 = sched_clock();
+ touch_cache(cache, size);
+ t1 = sched_clock();
+
+ /*
+ * Migrate to the target CPU, dirty the L2 cache and access
+ * the shared buffer. (which represents the working set
+ * of a migrated task.)
+ */
+ mask = cpumask_of_cpu(target);
+ set_cpus_allowed(current, mask);
+ WARN_ON(smp_processor_id() != target);
+
+ t2 = sched_clock();
+ touch_cache(cache, size);
+ t3 = sched_clock();
+
+ cost = t1-t0 + t3-t2;
+
+ if (migration_debug >= 2)
+ printk("[%d->%d]: %8Ld %8Ld %8Ld => %10Ld.\n",
+ source, target, t1-t0, t1-t0, t3-t2, cost);
+ /*
+ * Flush target caches to RAM and invalidate them:
+ */
+ sched_cacheflush();
+
+ set_cpus_allowed(current, saved_mask);
+
+ return cost;
+}
+
+/*
+ * Measure a series of task migrations and return the average
+ * result. Since this code runs early during bootup the system
+ * is 'undisturbed' and the average latency makes sense.
+ *
+ * The algorithm in essence auto-detects the relevant cache-size,
+ * so it will properly detect different cachesizes for different
+ * cache-hierarchies, depending on how the CPUs are connected.
+ *
+ * Architectures can prime the upper limit of the search range via
+ * max_cache_size, otherwise the search range defaults to 20MB...64K.
+ */
+static unsigned long long
+measure_cost(int cpu1, int cpu2, void *cache, unsigned int size)
+{
+ unsigned long long cost1, cost2;
+ int i;
+
+ /*
+ * Measure the migration cost of 'size' bytes, over an
+ * average of 10 runs:
+ *
+ * (We perturb the cache size by a small (0..4k)
+ * value to compensate size/alignment related artifacts.
+ * We also subtract the cost of the operation done on
+ * the same CPU.)
+ */
+ cost1 = 0;
+
+ /*
+ * dry run, to make sure we start off cache-cold on cpu1,
+ * and to get any vmalloc pagefaults in advance:
+ */
+ measure_one(cache, size, cpu1, cpu2);
+ for (i = 0; i < ITERATIONS; i++)
+ cost1 += measure_one(cache, size - i*1024, cpu1, cpu2);
+
+ measure_one(cache, size, cpu2, cpu1);
+ for (i = 0; i < ITERATIONS; i++)
+ cost1 += measure_one(cache, size - i*1024, cpu2, cpu1);
+
+ /*
+ * (We measure the non-migrating [cached] cost on both
+ * cpu1 and cpu2, to handle CPUs with different speeds)
+ */
+ cost2 = 0;
+
+ measure_one(cache, size, cpu1, cpu1);
+ for (i = 0; i < ITERATIONS; i++)
+ cost2 += measure_one(cache, size - i*1024, cpu1, cpu1);
+
+ measure_one(cache, size, cpu2, cpu2);
+ for (i = 0; i < ITERATIONS; i++)
+ cost2 += measure_one(cache, size - i*1024, cpu2, cpu2);
+
+ /*
+ * Get the per-iteration migration cost:
+ */
+ do_div(cost1, 2*ITERATIONS);
+ do_div(cost2, 2*ITERATIONS);
+
+ return cost1 - cost2;
+}
+
+static unsigned long long measure_migration_cost(int cpu1, int cpu2)
+{
+ unsigned long long max_cost = 0, fluct = 0, avg_fluct = 0;
+ unsigned int max_size, size, size_found = 0;
+ long long cost = 0, prev_cost;
+ void *cache;
+
+ /*
+ * Search from max_cache_size*5 down to 64K - the real relevant
+ * cachesize has to lie somewhere inbetween.
+ */
+ if (max_cache_size) {
+ max_size = max(max_cache_size * SEARCH_SCOPE, MIN_CACHE_SIZE);
+ size = max(max_cache_size / SEARCH_SCOPE, MIN_CACHE_SIZE);
+ } else {
+ /*
+ * Since we have no estimation about the relevant
+ * search range
+ */
+ max_size = DEFAULT_CACHE_SIZE * SEARCH_SCOPE;
+ size = MIN_CACHE_SIZE;
+ }
+
+ if (!cpu_online(cpu1) || !cpu_online(cpu2)) {
+ printk("cpu %d and %d not both online!\n", cpu1, cpu2);
+ return 0;
+ }
+
+ /*
+ * Allocate the working set:
+ */
+ cache = vmalloc(max_size);
+ if (!cache) {
+ printk("could not vmalloc %d bytes for cache!\n", 2*max_size);
+ return 1000000; // return 1 msec on very small boxen
+ }
+
+ while (size <= max_size) {
+ prev_cost = cost;
+ cost = measure_cost(cpu1, cpu2, cache, size);
+
+ /*
+ * Update the max:
+ */
+ if (cost > 0) {
+ if (max_cost < cost) {
+ max_cost = cost;
+ size_found = size;
+ }
+ }
+ /*
+ * Calculate average fluctuation, we use this to prevent
+ * noise from triggering an early break out of the loop:
+ */
+ fluct = abs(cost - prev_cost);
+ avg_fluct = (avg_fluct + fluct)/2;
+
+ if (migration_debug)
+ printk("-> [%d][%d][%7d] %3ld.%ld [%3ld.%ld] (%ld): (%8Ld %8Ld)\n",
+ cpu1, cpu2, size,
+ (long)cost / 1000000,
+ ((long)cost / 100000) % 10,
+ (long)max_cost / 1000000,
+ ((long)max_cost / 100000) % 10,
+ domain_distance(cpu1, cpu2),
+ cost, avg_fluct);
+
+ /*
+ * If we iterated at least 20% past the previous maximum,
+ * and the cost has dropped by more than 20% already,
+ * (taking fluctuations into account) then we assume to
+ * have found the maximum and break out of the loop early:
+ */
+ if (size_found && (size*100 > size_found*SIZE_THRESH))
+ if (cost+avg_fluct <= 0 ||
+ max_cost*100 > (cost+avg_fluct)*COST_THRESH) {
+
+ if (migration_debug)
+ printk("-> found max.\n");
+ break;
+ }
+ /*
+ * Increase the cachesize in 5% steps:
+ */
+ size = size * 20 / 19;
+ }
+
+ if (migration_debug)
+ printk("[%d][%d] working set size found: %d, cost: %Ld\n",
+ cpu1, cpu2, size_found, max_cost);
+
+ vfree(cache);
+
+ /*
+ * A task is considered 'cache cold' if at least 2 times
+ * the worst-case cost of migration has passed.
+ *
+ * (this limit is only listened to if the load-balancing
+ * situation is 'nice' - if there is a large imbalance we
+ * ignore it for the sake of CPU utilization and
+ * processing fairness.)
+ */
+ return 2 * max_cost * migration_factor / MIGRATION_FACTOR_SCALE;
+}
+
+static void calibrate_migration_costs(const cpumask_t *cpu_map)
+{
+ int cpu1 = -1, cpu2 = -1, cpu, orig_cpu = raw_smp_processor_id();
+ unsigned long j0, j1, distance, max_distance = 0;
+ struct sched_domain *sd;
+
+ j0 = jiffies;
+
+ /*
+ * First pass - calculate the cacheflush times:
+ */
+ for_each_cpu_mask(cpu1, *cpu_map) {
+ for_each_cpu_mask(cpu2, *cpu_map) {
+ if (cpu1 == cpu2)
+ continue;
+ distance = domain_distance(cpu1, cpu2);
+ max_distance = max(max_distance, distance);
+ /*
+ * No result cached yet?
+ */
+ if (migration_cost[distance] == -1LL)
+ migration_cost[distance] =
+ measure_migration_cost(cpu1, cpu2);
+ }
+ }
+ /*
+ * Second pass - update the sched domain hierarchy with
+ * the new cache-hot-time estimations:
+ */
+ for_each_cpu_mask(cpu, *cpu_map) {
+ distance = 0;
+ for_each_domain(cpu, sd) {
+ sd->cache_hot_time = migration_cost[distance];
+ distance++;
+ }
+ }
+ /*
+ * Print the matrix:
+ */
+ if (migration_debug)
+ printk("migration: max_cache_size: %d, cpu: %d MHz:\n",
+ max_cache_size,
+#ifdef CONFIG_X86
+ cpu_khz/1000
+#else
+ -1
+#endif
+ );
+ printk("migration_cost=");
+ for (distance = 0; distance <= max_distance; distance++) {
+ if (distance)
+ printk(",");
+ printk("%ld", (long)migration_cost[distance] / 1000);
+ }
+ printk("\n");
+ j1 = jiffies;
+ if (migration_debug)
+ printk("migration: %ld seconds\n", (j1-j0)/HZ);
+
+ /*
+ * Move back to the original CPU. NUMA-Q gets confused
+ * if we migrate to another quad during bootup.
+ */
+ if (raw_smp_processor_id() != orig_cpu) {
+ cpumask_t mask = cpumask_of_cpu(orig_cpu),
+ saved_mask = current->cpus_allowed;
+
+ set_cpus_allowed(current, mask);
+ set_cpus_allowed(current, saved_mask);
+ }
+}
+
#ifdef CONFIG_NUMA
+
/**
* find_next_best_node - find the next node to include in a sched_domain
* @node: node whose sched_domain we're building
@@ -5448,6 +5912,10 @@ next_sg:
#endif
cpu_attach_domain(sd, i);
}
+ /*
+ * Tune cache-hot values:
+ */
+ calibrate_migration_costs(cpu_map);
}
/*
* Set up scheduler domains and groups. Callers must hold the hotplug lock.