Thread (2 messages) flat view 2 messages, 2 authors, 2014-12-10

Re: A question about hugepage initialization time

From: Bruce Richardson <hidden>
Date: 2014-12-10 14:35:58

On Wed, Dec 10, 2014 at 09:29:26AM -0500, Neil Horman wrote:
On Wed, Dec 10, 2014 at 10:32:25AM +0000, Bruce Richardson wrote:
quoted
On Tue, Dec 09, 2014 at 02:10:32PM -0800, Stephen Hemminger wrote:
quoted
On Tue, 9 Dec 2014 11:45:07 -0800
&rew [off-list ref] wrote:
quoted
quoted
Hey Folks,

Our DPDK application deals with very large in memory data structures, and
can potentially use tens or even hundreds of gigabytes of hugepage memory.
During the course of development, we've noticed that as the number of huge
pages increases, the memory initialization time during EAL init gets to be
quite long, lasting several minutes at present.  The growth in init time
doesn't appear to be linear, which is concerning.

This is a minor inconvenience for us and our customers, as memory
initialization makes our boot times a lot longer than it would otherwise
be.  Also, my experience has been that really long operations often are
hiding errors - what you think is merely a slow operation is actually a
timeout of some sort, often due to misconfiguration. This leads to two
questions:

1. Does the long initialization time suggest that there's an error
happening under the covers?
2. If not, is there any simple way that we can shorten memory
initialization time?

Thanks in advance for your insights.

--
Matt Laswell
laswell-bIuJOMs36aleGPcbtGPokg@public.gmane.org
infinite io, inc.
Hello,

please find some quick comments on the questions:
1.) By our experience long initialization time is normal in case of 
large amount of memory. However this time depends on some things:
- number of hugepages (pagefault handled by kernel is pretty expensive)
- size of hugepages (memset at initialization)

2.) Using 1G pages instead of 2M will reduce the initialization time 
significantly. Using wmemset instead of memset adds an additional 20-30% 
boost by our measurements. Or, just by touching the pages but not cleaning 
them you can have still some more speedup. But in this case your layer or 
the applications above need to do the cleanup at allocation time 
(e.g. by using rte_zmalloc).

Cheers,
&rew
I wonder if the whole rte_malloc code is even worth it with a modern kernel
with transparent huge pages? rte_malloc adds very little value and is less safe
and slower than glibc or other allocators. Plus you lose the ablilty to get
all the benefit out of valgrind or electric fence.
While I'd dearly love to not have our own custom malloc lib to maintain, for DPDK
multiprocess, rte_malloc will be hard to replace as we would need a replacement
solution that similarly guarantees that memory mapped in process A is also 
available at the same address in process B. :-(
Just out of curiosity, why even bother with multiprocess support?  What you're
talking about above is a multithread model, and your shoehorning multiple
processes into it.
Neil
Yep, that's pretty much what it is alright. However, this multiprocess support
is very widely used by our customers in building their applications, and has
been in place and supported since some of the earliest DPDK releases. If it
is to be removed, it needs to be replaced by something that provides equivalent
capabilities to application writers (perhaps something with more fine-grained
sharing etc.)

/Bruce
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