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authorAndi Kleen <ak@linux.intel.com>2016-05-19 17:09:57 -0700
committerIngo Molnar <mingo@kernel.org>2016-06-03 09:41:23 +0200
commita39fcae7a83629312cc06cee7a745b9a8203327f (patch)
tree59ccc0391d115cc7ce3766a2591c27c01f14a755 /arch/x86/events
parentfc07e9f983b4b11922c22b6cccadc1f342f05a4c (diff)
perf/x86/intel: Add topdown events to Intel Core
Add declarations for the events needed for topdown to the Intel big core CPUs starting with Sandy Bridge. We need to report different values if HyperThreading is on or off. The only thing this patch does is to export some events in sysfs. topdown level 1 uses a set of abstracted metrics which are generic to out of order CPU cores (although some CPUs may not implement all of them): topdown-total-slots Available slots in the pipeline topdown-slots-issued Slots issued into the pipeline topdown-slots-retired Slots successfully retired topdown-fetch-bubbles Pipeline gaps in the frontend topdown-recovery-bubbles Pipeline gaps during recovery from misspeculation A slot is a single operation in the CPU pipe line. These metrics then allow to compute four useful metrics: FrontendBound, BackendBound, Retiring, BadSpeculation. The formulas to compute the metrics are generic, they only change based on the availability on the abstracted input values. The kernel declares the events supported by the current CPU and their scaling factors (such as the pipeline width) and perf stat then computes the formulas based on the available metrics. This is similar how existing perf metrics, such as TSC metrics or IPC, are implemented. This abstracts all CPU pipe line specific knowledge in the kernel driver, but still avoids the need for larger scale perf interface changes. For HyperThreading the any bit is needed to get accurate values when both threads are executing. This implies that the events can only be collected as root or with perf_event_paranoid=-1 for now. The basic scheme is based on the following paper: Yasin, A Top Down Method for Performance analysis and Counter architecture ISPASS14 (pdf available via google) Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: acme@kernel.org Cc: jolsa@kernel.org Link: http://lkml.kernel.org/r/1463703002-19686-4-git-send-email-andi@firstfloor.org Signed-off-by: Ingo Molnar <mingo@kernel.org>
Diffstat (limited to 'arch/x86/events')
-rw-r--r--arch/x86/events/intel/core.c50
1 files changed, 50 insertions, 0 deletions
diff --git a/arch/x86/events/intel/core.c b/arch/x86/events/intel/core.c
index 0941f846cc71..4f51bc44b89f 100644
--- a/arch/x86/events/intel/core.c
+++ b/arch/x86/events/intel/core.c
@@ -228,9 +228,46 @@ static struct attribute *nhm_events_attrs[] = {
NULL,
};
+/*
+ * topdown events for Intel Core CPUs.
+ *
+ * The events are all in slots, which is a free slot in a 4 wide
+ * pipeline. Some events are already reported in slots, for cycle
+ * events we multiply by the pipeline width (4).
+ *
+ * With Hyper Threading on, topdown metrics are either summed or averaged
+ * between the threads of a core: (count_t0 + count_t1).
+ *
+ * For the average case the metric is always scaled to pipeline width,
+ * so we use factor 2 ((count_t0 + count_t1) / 2 * 4)
+ */
+
+EVENT_ATTR_STR_HT(topdown-total-slots, td_total_slots,
+ "event=0x3c,umask=0x0", /* cpu_clk_unhalted.thread */
+ "event=0x3c,umask=0x0,any=1"); /* cpu_clk_unhalted.thread_any */
+EVENT_ATTR_STR_HT(topdown-total-slots.scale, td_total_slots_scale, "4", "2");
+EVENT_ATTR_STR(topdown-slots-issued, td_slots_issued,
+ "event=0xe,umask=0x1"); /* uops_issued.any */
+EVENT_ATTR_STR(topdown-slots-retired, td_slots_retired,
+ "event=0xc2,umask=0x2"); /* uops_retired.retire_slots */
+EVENT_ATTR_STR(topdown-fetch-bubbles, td_fetch_bubbles,
+ "event=0x9c,umask=0x1"); /* idq_uops_not_delivered_core */
+EVENT_ATTR_STR_HT(topdown-recovery-bubbles, td_recovery_bubbles,
+ "event=0xd,umask=0x3,cmask=1", /* int_misc.recovery_cycles */
+ "event=0xd,umask=0x3,cmask=1,any=1"); /* int_misc.recovery_cycles_any */
+EVENT_ATTR_STR_HT(topdown-recovery-bubbles.scale, td_recovery_bubbles_scale,
+ "4", "2");
+
static struct attribute *snb_events_attrs[] = {
EVENT_PTR(mem_ld_snb),
EVENT_PTR(mem_st_snb),
+ EVENT_PTR(td_slots_issued),
+ EVENT_PTR(td_slots_retired),
+ EVENT_PTR(td_fetch_bubbles),
+ EVENT_PTR(td_total_slots),
+ EVENT_PTR(td_total_slots_scale),
+ EVENT_PTR(td_recovery_bubbles),
+ EVENT_PTR(td_recovery_bubbles_scale),
NULL,
};
@@ -3435,6 +3472,13 @@ static struct attribute *hsw_events_attrs[] = {
EVENT_PTR(cycles_ct),
EVENT_PTR(mem_ld_hsw),
EVENT_PTR(mem_st_hsw),
+ EVENT_PTR(td_slots_issued),
+ EVENT_PTR(td_slots_retired),
+ EVENT_PTR(td_fetch_bubbles),
+ EVENT_PTR(td_total_slots),
+ EVENT_PTR(td_total_slots_scale),
+ EVENT_PTR(td_recovery_bubbles),
+ EVENT_PTR(td_recovery_bubbles_scale),
NULL
};
@@ -3803,6 +3847,12 @@ __init int intel_pmu_init(void)
memcpy(hw_cache_extra_regs, skl_hw_cache_extra_regs, sizeof(hw_cache_extra_regs));
intel_pmu_lbr_init_skl();
+ /* INT_MISC.RECOVERY_CYCLES has umask 1 in Skylake */
+ event_attr_td_recovery_bubbles.event_str_noht =
+ "event=0xd,umask=0x1,cmask=1";
+ event_attr_td_recovery_bubbles.event_str_ht =
+ "event=0xd,umask=0x1,cmask=1,any=1";
+
x86_pmu.event_constraints = intel_skl_event_constraints;
x86_pmu.pebs_constraints = intel_skl_pebs_event_constraints;
x86_pmu.extra_regs = intel_skl_extra_regs;