In this course, you will learn to design the computer architecture of complex modern microprocessors.
Introduction to Directory Coherence
Loading...
Из курса от партнера Princeton University
Computer Architecture
283 оценки
Из урока
Large Multiprocessors (Directory Protocols)
This lecture covers the motivation and implementation of directory protocol used for coherence on large multiproccesors.
Познакомьтесь с преподавателями
David WentzlaffAssociate Professor
Electrical Engineering
So let's, let's think about our snoopy protocols that we've talked about, our
bus based protocols, and the performance and the asymptotic performance
requirements of them. So, what are the challenges of a snooping
protocol? As we discussed before, as you add more
people or more processors to the system you have more entities shouting on one
shared media. And you need to hear the shouting.
You can't just forget some, some, some shout because you need to snoop that
against your vocal cache. So when ever another core takes a cache
miss, you need to snoop that against your cache and make sure that you don't have a
copy of that or that you have to invalidate for instance overplay back of
some data or do something other invalidation coherence protocol
adjustment. So,
what's, what's annoying about this, if you sort of look at the amount of
bandwidth you require on your bus, all cache miss need to go across that bus
everyone needs to look at that, and everyone needs to have a port that has
enough bandwidth to look at all those transactions on their cache.
So, if we go to look at this, our bus, if we want to sort of keep up with the same
amount of bandwidth of cache misses per core as we add more cores to the system
is going to grow order N, where N is the number of processors.
[COUGH]. Because though you can compute this
because everyone let's say has the same number of same amount of cache misses
going on and you want to have the same cache miss rate and you just multiply it
by N. Three each, each course is going to have
that. Well, that will be fine when N is eight,
but if N goes to a thousand or a million, you're going to have some serious
problems with that, it's a very, very big bus.
And it's not just straight badnwidth, you also need to have effectively somewhere
arbitrate for the bus and you need to have atomic transactions going across
that bus so it may be hard to actually even if you have a very high bandwidth
bus you may not have enough this cycles in order to operate in the bus.
So, a solution this, is, we start to look at something we're going to call
directory cache coherence and directory protocols.
And the idea in a directory protocol, that the key idea here is that instead of
broadcasting your invalidations to every other core in the system, or all cache in
the system, every other core in the system.
Instead what you do is you go talk to a location that we're going to call
directory. And this directory is going to keep track
of which caches have that data. And what's nice about this is now if you
take a cache miss you can go ask the directory well, who has all these
different, who has this cache line. And if only one other core has the cache
line let's say readable, it will and you're trying to take it into an
exclusive access trying to write to it. You only need to invalidate only one
location instead of sending that data to all end processors in your system.
So we've cut down what we, was a broadcast system into a point to point
system. But the overhead that we have to keep now
is we need to track, in a directory. All the locations that have or all the
caches which could have a particular cache line in it.
And, and we'll, we'll go through a much more complicated example of that but
that's the, that's the overall key idea. And this is going to turn what was a
broadcast into a point to point communication.
And we can use point to point interconnects for this.
Another good point of scalability here is you can actually have different
directories. So you don't have to have one big
monolithic directory. Instead you can segment the address space
somehow and depending on the address that you have you can go to a different
directory. And, by going in these different
directories, you can actually increase the bandwidth, to your directories.
Okay, so let's see how this fits into like, a
block diagram here. We have CPUs are trying to communicate
with other CPUs via shared memory. And they go check their cache first.
If it's not in the cache, before they would have communicate or
cross a bus, and everyone would have to look at that traffic but instead, in our
directory cache coherence, they'll send a message from the cache.
To the directory controller associated with the address so you're going to send
a message here to this directory controller.
And they directly controller is going to keep track for every single line in or
the, the basic directory controller here is going to keep track for every single
line and memory. The list of possible other caches which
could potentially have that piece of data and we're going to call that the sharer
list or the share list. And this is.
Right now, if we look at this, might still be a uniform communication network.
So, let's say, in here, you have some omega network.
Anyone can talk to anyone else and the latency through it is fixed.
So this is still a uniform memory access system.
We've not. We didn't have to go non-uniform here.
So, no cache is necessarily closer or farther away to any other piece of memory
in a system like this. [COUGH] So this is kind of our naive
directory cache coherence protocol. But what's still nice here is we don't
have to broadcast. We can our, let's say our omega network,
or mesh network, or something else on the inside here.
We'd like to send from this cache directly to this controller.
If no other cache has it. Let's say, readable or writable, or
anything like that. It can just respond back with the memory.
The, the data from memory. If not, instead of invalidating and
broadcasting an invalidate to all other cores.
Instead now, the directory can just say. Oh, this core,
this cache and this cache have copies. I need to send two messages.
One to this cache, one to that cache, and validate them.
Wait for the responses and then reply back with the data.
So, we can, we can decrease our bandwidth that we use in the common case across our
inter-connection network. So I'm going to show a slightly different
picture here which is pretty similar to the previous picture.
Well, you'll notice is that the memory and the directory, now, are connected to
an individual CPU. So why do we do this?
Well. If you're building one of these scalable
systems some sort of like supercomputer, it might be a good property that as you
add more CPUs to the system, you also add more RAM memory.
And maybe more directory storage or something like that.
Another positive of, of, of a design like this is this CPU now is actually close to
this memory bank. And we can try to take advantage of that.
So one, one question comes up, is how can we take advantage of that?
Anyone have any thoughts? Okay so, shared data, we don't know where
it's going to be accessed. It could be accessed by all 6 CPUs and
all 6 caches here. But it's very common that your stack for
your program is going to be only access local and the instruction memory for your
program is only going to be access local. So you can potentially have performance
benefits by putting the instruction in memory or excuse me,
instruction and stack and maybe even some portion of the heap close to this core
because then you can access that really quickly, but only shared data has to go
across this interconnect. [COUGH] And will or in fact that has a
fancy name. So systems where some data is close and
some data is far away are called Non Uniform Memory Access or NUMA and you
might see this actually even in your desktop processors are actually
Moving towards numerous systems. They're, they're, some of them are are
actually If you look at some of the.
I believe it's the A and D chips today are already numa systems even on a on a
single di, or not excuse me single chip with multiple dies or something like that
there, there actually two newer nodes inside of them sort of one for one memory
controller one for one another memory controller.
So, [COUGH] if you go into something like Linux and you go look in the proc
directory, you can actually see there's a sub-directory in there called NUMA.
And it'll tell you the configuration of the different memory.
And then the OS can take advantage of this, so can put for instance, the stack
and the instruction memory, for a particular program, that's being used by
a particular core close to that core. And then, maybe through some other data,
I can somehow choose some other, other choice.
Now, I want to make a point here, is that just
because the latency to memory is different does not mean that your system
is a directory based cached coherent NUMA system.
So you can still have non-directory-based systems where some memory is close and
some memory is far away. So you could still have a, basically a
bus, or something like that, or maybe some other internet connection network in
there which is still a snooping protocol, or effectively a snooping protocol.
But some data is close and some data is far away.
But if you see this in literature usually you feel people talking about directory
based cache coherent NUMA systems will call them CC NUMA or cache coherent NUMA
systems, that's usually sort of means that this is a cache coherent non-uniform
memory access architecture and usually implies that directory based for the may
be other protocols that people are using out there also.
Okay so I want to go back one slide here, and I wanted to finish off talking about
one-topology, which is interesting. And the difference between these two
slides is we went from a CPU here to CPUs.
So this is a multi-core chip now and where this gets interesting is you might
have a directory based cache coherence system connecting multiple chips but then
inside of a chip you may have something like a bus based snooping protocol.
So we actually mix and match these two things.
And how we go about doing this is, if caches, if cores inside of this one chip
for instance, after you go get data from each other, they can just effectively
snoop on each other, but outside of that your cache controller or may be your L3
cache for this particular chip, is going to respond to messages coming from other
directories, like invalidation requests and do something about it.
So there's basically a transducer there between a directory base cache coherence
protocol, and a bus base snoopy protocol. And this is pretty, pretty common these
days. Especially given that you have a fair
number of multi core systems showing up. And being used in more of these directory
based cache coherence systems. And we'll talk about one of them at the
end actually the SGI UV systems or UV 1000, which we'll
talk about, is a users off-the-shelve, Intel parts, modern day sort of Core i7
parts mixed together with a NUMA, and directory based coherence system to
connect all the chips together. So there's a transducer from the external
snoop bus protocol to the directory based coherence protocol.
Ознакомьтесь с нашим каталогом
Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
© Coursera Inc., 2018 Все права защищены.
