[PATCH v3 00/41] Optimize KVM/ARM for VHE systems
From: Christoffer Dall <hidden>
Date: 2018-01-17 10:48:43
Also in:
kvm, kvmarm
On Wed, Jan 17, 2018 at 11:34:54AM +0300, Yury Norov wrote:
On Mon, Jan 15, 2018 at 04:50:36PM +0100, Christoffer Dall wrote:quoted
Hi Yury, On Mon, Jan 15, 2018 at 05:14:23PM +0300, Yury Norov wrote:quoted
On Fri, Jan 12, 2018 at 01:07:06PM +0100, Christoffer Dall wrote:quoted
This series redesigns parts of KVM/ARM to optimize the performance on VHE systems. The general approach is to try to do as little work as possible when transitioning between the VM and the hypervisor. This has the benefit of lower latency when waiting for interrupts and delivering virtual interrupts, and reduces the overhead of emulating behavior and I/O in the host kernel. Patches 01 through 06 are not VHE specific, but rework parts of KVM/ARM that can be generally improved. We then add infrastructure to move more logic into vcpu_load and vcpu_put, we improve handling of VFP and debug registers. We then introduce a new world-switch function for VHE systems, which we can tweak and optimize for VHE systems. To do that, we rework a lot of the system register save/restore handling and emulation code that may need access to system registers, so that we can defer as many system register save/restore operations to vcpu_load and vcpu_put, and move this logic out of the VHE world switch function. We then optimize the configuration of traps. On non-VHE systems, both the host and VM kernels run in EL1, but because the host kernel should have full access to the underlying hardware, but the VM kernel should not, we essentially make the host kernel more privileged than the VM kernel despite them both running at the same privilege level by enabling VE traps when entering the VM and disabling those traps when exiting the VM. On VHE systems, the host kernel runs in EL2 and has full access to the hardware (as much as allowed by secure side software), and is unaffected by the trap configuration. That means we can configure the traps for VMs running in EL1 once, and don't have to switch them on and off for every entry/exit to/from the VM. Finally, we improve our VGIC handling by moving all save/restore logic out of the VHE world-switch, and we make it possible to truly only evaluate if the AP list is empty and not do *any* VGIC work if that is the case, and only do the minimal amount of work required in the course of the VGIC processing when we have virtual interrupts in flight. The patches are based on v4.15-rc3, v9 of the level-triggered mapped interrupts support series [1], and the first five patches of James' SDEI series [2]. I've given the patches a fair amount of testing on Thunder-X, Mustang, Seattle, and TC2 (32-bit) for non-VHE testing, and tested VHE functionality on the Foundation model, running both 64-bit VMs and 32-bit VMs side-by-side and using both GICv3-on-GICv3 and GICv2-on-GICv3. The patches are also available in the vhe-optimize-v3 branch on my kernel.org repository [3]. The vhe-optimize-v3-base branch contains prerequisites of this series. Changes since v2: - Rebased on v4.15-rc3. - Includes two additional patches that only does vcpu_load after kvm_vcpu_first_run_init and only for KVM_RUN. - Addressed review comments from v2 (detailed changelogs are in the individual patches). Thanks, -Christoffer [1]: git://git.kernel.org/pub/scm/linux/kernel/git/cdall/linux.git level-mapped-v9 [2]: git://linux-arm.org/linux-jm.git sdei/v5/base [3]: git://git.kernel.org/pub/scm/linux/kernel/git/cdall/linux.git vhe-optimize-v3I tested this v3 series on ThunderX2 with IPI benchmark: https://lkml.org/lkml/2017/12/11/364 I tried to address your comments in discussion to v2, like pinning the module to specific CPU (with taskset), increasing the number of iterations, tuning governor to max performance. Results didn't change much, and are pretty stable.Thanks for testing this.quoted
Comparing to vanilla guest, Norml IPI delivery for v3 is 20% slower. For v2 it was 27% slower, and for v1 - 42% faster. What's interesting, the acknowledge time is much faster for v3, so overall time to deliver and acknowledge IPI (2nd column) is less than vanilla 4.15-rc3 kernel.I don't see this from your results. It looks like an IPI cost increases from 289 to 347?I mean turnaround time - 497 without your patches and 490 with them.
I have a hard time making sense of this; that would either indicate that before we had something that was slow in your IPI workload, either in a loop that shouldn't trap or from ktime_get() --- prior to it actually returning the time --- which has now become faster (much faster given the increase in send/receive IPI time), or the timers have become messed up and show inconsistent time counts across the sending and receiving CPUs. Hmm.
quoted
Also, acknowledging the IPI should be a constant cost (handled directly by hardware), so that's definitely an indication something is wrong.quoted
Test setup is not changed since v2: ThunderX2, 112 online CPUs, guest is running under qemu-kvm, emulating gic version 3. Below is test results for v1-3 normalized to host vanilla kernel dry-run time.There must be some bug in this series, but I'm unsure where it is, as I cannot observe it on the hardware I have at hand. Perhaps we mistakenly enable the GICv3 CPU interface trapping with this series or there is some other flow around the GIC which is broken. It would be interesting if you could measure the base exit cost using the cycle counter from the VM to the hypervisor between the two platforms. That does require changing the host kernel to clear MDCR_EL2.TPM when running a guest (unsafe), and ensuring the cycle counter runs across EL2/1/0 (for example by running KVM under perf) and running a micro test that exits using a hypercall that does nothing (like getting the PSCI version).I can do this, later this week, OK?
That would be helpful indeed. Thanks, -Christoffer