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Message-ID: <20160122181721.558ecdff@redhat.com>
Date:	Fri, 22 Jan 2016 18:17:21 +0100
From:	Jesper Dangaard Brouer <brouer@...hat.com>
To:	Tom Herbert <tom@...bertland.com>
Cc:	Eric Dumazet <eric.dumazet@...il.com>,
	Or Gerlitz <gerlitz.or@...il.com>,
	David Miller <davem@...emloft.net>,
	Eric Dumazet <edumazet@...gle.com>,
	Linux Netdev List <netdev@...r.kernel.org>,
	Alexander Duyck <alexander.duyck@...il.com>,
	Alexei Starovoitov <alexei.starovoitov@...il.com>,
	Daniel Borkmann <borkmann@...earbox.net>,
	Marek Majkowski <marek@...udflare.com>,
	Hannes Frederic Sowa <hannes@...essinduktion.org>,
	Florian Westphal <fw@...len.de>,
	Paolo Abeni <pabeni@...hat.com>,
	John Fastabend <john.r.fastabend@...el.com>,
	Amir Vadai <amirva@...il.com>, brouer@...hat.com
Subject: Re: Optimizing instruction-cache, more packets at each stage

On Fri, 22 Jan 2016 09:07:43 -0800
Tom Herbert <tom@...bertland.com> wrote:

> On Fri, Jan 22, 2016 at 4:33 AM, Jesper Dangaard Brouer
> <brouer@...hat.com> wrote:
> > On Thu, 21 Jan 2016 09:48:36 -0800
> > Eric Dumazet <eric.dumazet@...il.com> wrote:
> >  
> >> On Thu, 2016-01-21 at 08:38 -0800, Tom Herbert wrote:
> >>  
> >> > Sure, but the receive path is parallelized.  
> >>
> >> This is true for multiqueue processing, assuming you can dedicate many
> >> cores to process RX.
> >>  
> >> >  Improving parallelism has
> >> > continuously shown to have much more impact than attempting to
> >> > optimize for cache misses. The primary goal is not to drive 100Gbps
> >> > with 64 packets from a single CPU. It is one benchmark of many we
> >> > should look at to measure efficiency of the data path, but I've yet to
> >> > see any real workload that requires that...
> >> >
> >> > Regardless of anything, we need to load packet headers into CPU cache
> >> > to do protocol processing. I'm not sure I see how trying to defer that
> >> > as long as possible helps except in cases where the packet is crossing
> >> > CPU cache boundaries and can eliminate cache misses completely (not
> >> > just move them around from one function to another).  
> >>
> >> Note that some user space use multiple core (or hyper threads) to
> >> implement a pipeline, using a single RX queue.
> >>
> >> One thread can handle one stage (device RX drain) and prefetch data into
> >> shared L1/L2 (and/or shared L3 for pipelines with more than 2 threads)
> >>
> >> The second thread process packets with headers already in L1/L2  
> >
> > I agree. I've heard experiences where DPDK users use 2 core for RX, and
> > 1 core for TX, and achieve 10G wirespeed (14Mpps) real IPv4 forwarding
> > with full Internet routing table look up.
> >
> > One of the ideas behind my alf_queue, is that it can be used for
> > efficiently distributing object (pointers) between threads.
> > 1. because it only transfers the pointers (not touching object), and
> > 2. because it enqueue/dequeue multiple objects with a single locked cmpxchg.
> > Thus, lower in the message passing cost between threads.
> >
> >  
> >> This way, the ~100 ns (or even more if you also consider skb
> >> allocations) penalty to bring packet headers do not hurt PPS.  
> >
> > I've studied the allocation cost in great detail, thus let me share my
> > numbers, 100 ns is too high:
> >
> > Total cost of alloc+free for 256 byte objects (on CPU i7-4790K @ 4.00GHz).
> > The cycles count should be comparable with other CPUs, but that nanosec
> > measurement is affected by the very high clock freq of this CPU.
> >
> > Kmem_cache fastpath "recycle" case:
> >  SLUB => 44 cycles(tsc) 11.205 ns
> >  SLAB => 96 cycles(tsc) 24.119 ns.
> >
> > The problem is that real use-cases in the network stack, almost always
> > hit the slowpath in kmem_cache allocators.
> >
> > Kmem_cache "slowpath" case:
> >  SLUB => 117 cycles(tsc) 29.276 ns
> >  SLAB => 101 cycles(tsc) 25.342 ns
> >
> > I've addressed this "slowpath" problem in the SLUB and SLAB allocators,
> > by introducing a bulk API, which amortize the needed sync-mechanisms.
> >
> > Kmem_cache using bulk API:
> >  SLUB => 37 cycles(tsc) 9.280 ns
> >  SLAB => 20 cycles(tsc) 5.035 ns
> >  
> Hi Jesper,
> 
> I am a little confused. I believe the 100ns hit refers specifically
> cache miss on packet headers. 

Sorry, I misread Eric's statement.  You are right.

> Memory object allocation seems like different problem;

Yes, it is, I just misread it, and though we were talking about memory
object alloc overhead. Sorry, for the confusion.


> the latency might depend on cache misses, but it's
> not on packet data (which we seem to assume is always a cache miss).
> For the cache miss problem on the packet headers I think we really
> need to evaluate whether DDIO adequately solves the it (need more
> numbers :) ). As I read it, DDIO is enabled by default since Sandy
> Bridge-EP and is transparent to both HW and SW. It seems like we
> should have seen some sort of measurable benefit by now...

-- 
Best regards,
  Jesper Dangaard Brouer
  MSc.CS, Principal Kernel Engineer at Red Hat
  Author of http://www.iptv-analyzer.org
  LinkedIn: http://www.linkedin.com/in/brouer

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