Message ID | 1522947547-24081-1-git-send-email-will.deacon@arm.com |
---|---|
Headers | show |
Series | kernel/locking: qspinlock improvements | expand |
On Thu, Apr 05, 2018 at 05:58:57PM +0100, Will Deacon wrote: > Hi all, > > I've been kicking the tyres further on qspinlock and with this set of patches > I'm happy with the performance and fairness properties. In particular, the > locking algorithm now guarantees forward progress whereas the implementation > in mainline can starve threads indefinitely in cmpxchg loops. > > Catalin has also implemented a model of this using TLA to prove that the > lock is fair, although this doesn't take the memory model into account: > > https://git.kernel.org/pub/scm/linux/kernel/git/cmarinas/kernel-tla.git/commit/ Nice! I'll dig into this formalization, but my guess is that our model (and axiomatic models "a-la-herd", in general) are not well-suited when it comes to study properties such as fairness, liveness... Did you already think about this? Andrea > > I'd still like to get more benchmark numbers and wider exposure before > enabling this for arm64, but my current testing is looking very promising. > This series, along with the arm64-specific patches, is available at: > > https://git.kernel.org/pub/scm/linux/kernel/git/will/linux.git/log/?h=qspinlock > > Cheers, > > Will > > --->8 > > Jason Low (1): > locking/mcs: Use smp_cond_load_acquire() in mcs spin loop > > Will Deacon (9): > locking/qspinlock: Don't spin on pending->locked transition in > slowpath > locking/qspinlock: Remove unbounded cmpxchg loop from locking slowpath > locking/qspinlock: Kill cmpxchg loop when claiming lock from head of > queue > locking/qspinlock: Use atomic_cond_read_acquire > barriers: Introduce smp_cond_load_relaxed and atomic_cond_read_relaxed > locking/qspinlock: Use smp_cond_load_relaxed to wait for next node > locking/qspinlock: Merge struct __qspinlock into struct qspinlock > locking/qspinlock: Make queued_spin_unlock use smp_store_release > locking/qspinlock: Elide back-to-back RELEASE operations with > smp_wmb() > > arch/x86/include/asm/qspinlock.h | 19 ++- > arch/x86/include/asm/qspinlock_paravirt.h | 3 +- > include/asm-generic/barrier.h | 27 ++++- > include/asm-generic/qspinlock.h | 2 +- > include/asm-generic/qspinlock_types.h | 32 ++++- > include/linux/atomic.h | 2 + > kernel/locking/mcs_spinlock.h | 10 +- > kernel/locking/qspinlock.c | 191 ++++++++++-------------------- > kernel/locking/qspinlock_paravirt.h | 34 ++---- > 9 files changed, 141 insertions(+), 179 deletions(-) > > -- > 2.1.4 >
On Fri, Apr 06, 2018 at 03:22:49PM +0200, Andrea Parri wrote: > On Thu, Apr 05, 2018 at 05:58:57PM +0100, Will Deacon wrote: > > I've been kicking the tyres further on qspinlock and with this set of patches > > I'm happy with the performance and fairness properties. In particular, the > > locking algorithm now guarantees forward progress whereas the implementation > > in mainline can starve threads indefinitely in cmpxchg loops. > > > > Catalin has also implemented a model of this using TLA to prove that the > > lock is fair, although this doesn't take the memory model into account: > > > > https://git.kernel.org/pub/scm/linux/kernel/git/cmarinas/kernel-tla.git/commit/ > > Nice! I'll dig into this formalization, but my guess is that our model > (and axiomatic models "a-la-herd", in general) are not well-suited when > it comes to study properties such as fairness, liveness... Maybe someone with a background in formal methods could give a better answer. How TLA+ works is closer to rmem [1] (operational model, exhaustive memoised state search) than herd. Liveness verification requires checking that, under certain fairness properties, some state is eventually reached. IOW, it tries to show that either all state change graphs lead to (go through) such state or that there are cycles in the graph and the state is never reached. I don't know whether herd could be modified to check liveness. I'm not sure it can handle infinite loops either (the above model checks an infinite lock/unlock loop on each CPU and that's easier to implement in a tool with memoised states). The TLA+ model above assumes sequential consistency, so no memory ordering taken into account. One could build an operational model in TLA+ that's equivalent to the axiomatic one (e.g. following the Flat model equivalence as in [2]), however, liveness checking (at least with TLA+) is orders of magnitude slower than safety. Any small variation has an exponential impact on the state space, so likely to be impractical. For specific parts of the algorithm, you may be able to use a poor man's ordering by e.g. writing two accesses in two different orders so the model checks both combinations. There are papers (e.g. [3]) on how to convert liveness checking to safety checking but I haven't dug further. I think it's easier/faster if you do liveness checking with a simplified model and separately check the safety with respect to memory ordering on tools like herd. [1] http://www.cl.cam.ac.uk/~sf502/regressions/rmem/ [2] http://www.cl.cam.ac.uk/~pes20/armv8-mca/armv8-mca-draft.pdf [3] https://www.sciencedirect.com/science/article/pii/S1571066104804109 -- Catalin
On Wed, Apr 11, 2018 at 11:20:04AM +0100, Catalin Marinas wrote: > On Fri, Apr 06, 2018 at 03:22:49PM +0200, Andrea Parri wrote: > > On Thu, Apr 05, 2018 at 05:58:57PM +0100, Will Deacon wrote: > > > I've been kicking the tyres further on qspinlock and with this set of patches > > > I'm happy with the performance and fairness properties. In particular, the > > > locking algorithm now guarantees forward progress whereas the implementation > > > in mainline can starve threads indefinitely in cmpxchg loops. > > > > > > Catalin has also implemented a model of this using TLA to prove that the > > > lock is fair, although this doesn't take the memory model into account: > > > > > > https://git.kernel.org/pub/scm/linux/kernel/git/cmarinas/kernel-tla.git/commit/ > > > > Nice! I'll dig into this formalization, but my guess is that our model > > (and axiomatic models "a-la-herd", in general) are not well-suited when > > it comes to study properties such as fairness, liveness... > > Maybe someone with a background in formal methods could give a better > answer. How TLA+ works is closer to rmem [1] (operational model, > exhaustive memoised state search) than herd. Liveness verification > requires checking that, under certain fairness properties, some state is > eventually reached. IOW, it tries to show that either all state change > graphs lead to (go through) such state or that there are cycles in the > graph and the state is never reached. I don't know whether herd could be > modified to check liveness. I'm not sure it can handle infinite loops > either (the above model checks an infinite lock/unlock loop on each > CPU and that's easier to implement in a tool with memoised states). > > The TLA+ model above assumes sequential consistency, so no memory > ordering taken into account. One could build an operational model in > TLA+ that's equivalent to the axiomatic one (e.g. following the Flat > model equivalence as in [2]), however, liveness checking (at least with > TLA+) is orders of magnitude slower than safety. Any small variation has > an exponential impact on the state space, so likely to be impractical. > For specific parts of the algorithm, you may be able to use a poor man's > ordering by e.g. writing two accesses in two different orders so the > model checks both combinations. > > There are papers (e.g. [3]) on how to convert liveness checking to > safety checking but I haven't dug further. I think it's easier/faster if > you do liveness checking with a simplified model and separately check > the safety with respect to memory ordering on tools like herd. Indeed. A fundamental problem, AFAICT, is to formalize that concept of '[it] will _eventually_ happen'. Consider a simple example: { x = 0} P0 | P1 | x = 1 | while (!x) | ; herd 'knows' that: - on the 1st iteration of the 'while' loop, the load from x can return the value 0 or 1 (only); - on the 2nd iteration of the 'while' loop, the load from x can return the value 0 or 1; - [ ... and 'so on'! ] but this is pretty much all herd knows about this snippet by now ... ;) Thanks, Andrea > > [1] http://www.cl.cam.ac.uk/~sf502/regressions/rmem/ > [2] http://www.cl.cam.ac.uk/~pes20/armv8-mca/armv8-mca-draft.pdf > [3] https://www.sciencedirect.com/science/article/pii/S1571066104804109 > > -- > Catalin