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FAQ:
Tuning the run-time characteristics of MPI TCP communications

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This FAQ is for Open MPI v4.x and earlier.
If you are looking for documentation for Open MPI v5.x and later, please visit docs.open-mpi.org.

Table of contents:

  1. How do I specify to use the IP network for MPI messages?
  2. But wait — I'm using a high-speed network. Do I have to disable the TCP BTL?
  3. How do I know what MCA parameters are available for tuning MPI performance?
  4. Does Open MPI use the IP loopback interface?
  5. I have multiple IP networks on some/all of my cluster nodes. Which ones will Open MPI use?
  6. I'm getting TCP-related errors. What do they mean?
  7. How do I tell Open MPI which IP interfaces / networks to use?
  8. Does Open MPI open a bunch of sockets during MPI_INIT?
  9. Are there any Linux kernel TCP parameters that I should set?
  10. How does Open MPI know which IP addresses are routable to each other in Open MPI 1.2?
  11. How does Open MPI know which IP addresses are routable to each other in Open MPI 1.3 (and beyond)?
  12. Does Open MPI ever close TCP sockets?
  13. Does Open MPI support IP interfaces that have more than one IP address?
  14. Does Open MPI support virtual IP interfaces?
  15. Why do I only see 5 Gbps bandwidth benchmark results on 10 GbE or faster networks?
  16. Can I use multiple TCP connections to improve network performance?


1. How do I specify to use the IP network for MPI messages?

In general, you specify that the tcp BTL component should be used. This will direct Open MPI to use TCP-based communications over IP interfaces / networks.

However, note that you should also specify that the self BTL component should be used. self is for loopback communication (i.e., when an MPI process sends to itself), and is technically a different communication channel than TCP. For example:

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shell$ mpirun --mca btl tcp,self ...

Failure to specify the self BTL may result in Open MPI being unable to complete send-to-self scenarios (meaning that your program will run fine until a process tries to send to itself).

Note that if the tcp BTL is available at run time (which it should be on most POSIX-like systems), Open MPI should automatically use it by default (ditto for self). Hence, it's usually unnecessary to specify these options on the mpirun command line. They are typically only used when you want to be absolutely positively definitely sure to use the specific BTL.

If you are using a high-speed network (such as Myrinet or InfiniBand), be sure to also see this FAQ entry.


2. But wait — I'm using a high-speed network. Do I have to disable the TCP BTL?

No. Following the so-called "Law of Least Astonishment", Open MPI assumes that if you have both a IP network and at least one high-speed network (such InfiniBand), you will likely only want to use the high-speed network(s) for MPI message passing. Hence, the tcp BTL component will sense this and automatically deactivate itself.

That being said, Open MPI may still use TCP for setup and teardown information — so you'll see traffic across your IP network during startup and shutdown of your MPI job. This is normal and does not affect the MPI message passing channels.


3. How do I know what MCA parameters are available for tuning MPI performance?

The ompi_info command can display all the parameters available for the tcp BTL component (i.e., the component that uses TCP for MPI communications):

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shell$ ompi_info --param btl tcp --level 9

NOTE: Prior to the Open MPI 1.7 series, ompi_info would show all MCA parameters by default. Starting with Open MPI v1.7, you need to specify --level 9 (or --all) to show all MCA parameters.


4. Does Open MPI use the IP loopback interface?

Usually not.

In general message passing usage, there are two scenarios where using the IP loopback interface could be used:

  1. Sending a message from one process to itself
  2. Sending a message from one process to another process on the same machine

The TCP BTL does not handle "send-to-self" scenarios in Open MPI; indeed, it is not even capable of doing so. Instead, the self BTL component is used for all send-to-self MPI communications. Not only does this allow all Open MPI BTL components to avoid special case code for send-to-self scenarios, it also allows avoiding using inefficient loopback network stacks (such as the IP loopback device).

Specifically: the self component uses its own mechanisms for send-to-self scenarios; it does not use network interfaces.

When sending to other processes on the same machine, Open MPI will default to using a shared memory BTL (sm or vader). If the user has deactivated these BTLs, depending on what other BTL components are available, it is possible that the TCP BTL will be chosen for message passing to processes on the same node, in which case the IP loopback device will likely be used. But this is not the default; either shared memory has to fail to startup properly or the user must specifically request not to use the shared memory BTL.


5. I have multiple IP networks on some/all of my cluster nodes. Which ones will Open MPI use?

In general, Open MPI will greedily use all IP networks that it finds per its reachability computations.

To change this behavior, you can either specifically include certain networks or specifically exclude certain networks. See this FAQ entry for more details.


6. I'm getting TCP-related errors. What do they mean?

TCP-related errors are usually reported by Open MPI in a message similar to these:

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btl_tcp_endpoint.c:572:mca_btl_tcp_endpoint_complete_connect] connect() failed with errno=113
mca_btl_tcp_frag_send: writev failed with errno=104

If an error number is displayed with no explanation string, you can see what that specific error number means on your operating system with the following command (the following example was run on Linux; results may be different on other operating systems):

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shell$ perl -e 'die$!=113'
No route to host at -e line 1.
shell$ perl -e 'die$!=104'
Connection reset by peer at -e line 1.

Two types of errors are commonly reported to the Open MPI user's mailing list:

  • No route to host: These types of errors usually mean that there are multiple IP interfaces available and they do not obey Open MPI's assumptions about routability. See these two FAQ items for more information:

  • Connection reset by peer: These types of errors usually occur after MPI_INIT has completed, and typically indicate that an MPI process has died unexpectedly (e.g., due to a seg fault). The specific error message indicates that a peer MPI process tried to write to the now-dead MPI process and failed.


7. How do I tell Open MPI which IP interfaces / networks to use?

In some parallel environments, it is not uncommon to have multiple IP interfaces on each node — for example, one IP network may be "slow" and used for control information such as a batch scheduler, a networked filesystem, and/or interactive logins. Another IP network (or networks) may be "fast" and be intended for parallel applications to use during their runs. As another example, some operating systems may also have virtual interfaces for communicating with virtual machines.

Unless otherwise specified, Open MPI will greedily use all "up" IP networks that it can find and try to connect to all peers _upon demand_ (i.e., Open MPI does not open sockets to all of its MPI peers during MPI_INIT — see this FAQ entry for more details). Hence, if you want MPI jobs to not use specific IP networks — or not use any IP networks at all — then you need to tell Open MPI.

NOTE: Aggressively using all "up" interfaces can cause problems in some cases. For example, if you have a machine with a local-only interface (e.g., the loopback device, or a virtual-machine bridge device that can only be used on that machine, and cannot be used to communicate with MPI processes on other machines), you will likely need to tell Open MPI to ignore these networks. Open MPI usually ignores loopback devices by default, but *other local-only devices must be manually ignored.* Users have reported cases where RHEL6 automatically installed a "virbr0" device for Xen virtualization. This interface was automatically given an IP address in the 192.168.1.0/24 subnet and marked as "up". Since Open MPI saw this 192.168.1.0/24 "up" interface in all MPI processes on all nodes, it assumed that that network was usable for MPI communications. This is obviously incorrect, and it led to MPI applications hanging when they tried to send or receive MPI messages.

  1. To disable Open MPI from using TCP for MPI communications, the tcp MCA parameter should be set accordingly. You can either exclude the TCP component or include all other components. Specifically:
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    # This says to exclude the TCP BTL component
    # (implicitly including all others)
    shell$ mpirun --mca btl ^tcp...
     
    # This says to include only the listed BTL components
    # (tcp is not listed, and therefore will not be used)
    shell$ mpirun --mca btl self,vader,openib ...

  2. If you want to use TCP for MPI communications, but want to restrict it from certain networks, use the btl_tcp_if_include or btl_tcp_if_exclude MCA parameters (only one of the two should be set). The values of these parameters can be a comma-delimited list of network interfaces. For example:
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    # This says to not use the eth0 and lo interfaces.
    # (and implicitly use all the rest).  Per the description
    # above, IP loopback and all local-only devices *must*
    # be included if the exclude list is specified.
    shell$ mpirun --mca btl_tcp_if_exclude lo,eth0 ...
     
    # This says to only use the eth1 and eth2 interfaces
    # (and implicitly ignore the rest)
    shell$ mpirun --mca btl_tcp_if_include eth1,eth2 ...
  3. Starting in the Open MPI v1.5 series, you can specify subnets in the include or exclude lists in CIDR notation. For example:
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    # Only use the 192.168.1.0/24 and 10.10.0.0/16 subnets for MPI
    # communications:
    shell$ mpirun --mca btl_tcp_if_include 192.168.1.0/24,10.10.0.0/16 ...

    NOTE: You must specify the CIDR notation for a given network precisely. For example, if you have two IP networks 10.10.0.0/24 and 10.10.1.0/24, Open MPI will not recognize either of them if you specify "10.10.0.0/16".

    NOTE: If you use the btl_tcp_if_include and btl_tcp_if_exclude MCA parameters to shape the behavior of the TCP BTL for MPI communications, you may also need/want to investigate the corresponding MCA parameters oob_tcp_if_include and oob_tcp_if_exclude, which are used to shape non-MPI TCP-based communication (e.g., communications setup and coordination during MPI_INIT and MPI_FINALIZE).

Note that Open MPI will still use TCP for control messages, such as data between mpirun and the MPI processes, rendezvous information during MPI_INIT, etc. To disable TCP altogether, you also need to disable the tcp component from the OOB framework.


8. Does Open MPI open a bunch of sockets during MPI_INIT?

Although Open MPI is likely to open multiple TCP sockets during MPI_INIT, the tcp BTL component *does not open one socket per MPI peer process during MPI_INIT.* Open MPI opens sockets as they are required — so the first time a process sends a message to a peer and there is a TCP connection between the two, Open MPI will automatically open a new socket.

Hence, you should not have scalability issues with running large numbers of processes (e.g., running out of per-process file descriptors) if your parallel application is sparse in its communication with peers.


9. Are there any Linux kernel TCP parameters that I should set?

Everyone has different opinions on this, and it also depends on your exact hardware and environment. Below are general guidelines that some users have found helpful.

  1. net.ipv4.tcp_syn_retries: Some Linux systems have very large initial connection timeouts — they retry sending SYN packets many times before determining that a connection cannot be made. If MPI is going to fail to make socket connections, it would be better for them to fail somewhat quickly (minutes vs. hours). You might want to reduce this value to a smaller value; YMMV.
  2. net.ipv4.tcp_keepalive_time: Some MPI applications send an initial burst of MPI messages (over TCP) and then send nothing for long periods of time (e.g., embarrassingly parallel applications). Linux may decide that these dormant TCP sockets are dead because it has seen no traffic on them for long periods of time. You might therefore need to lengthen the TCP inactivity timeout. Many Linux systems default to 7,200 seconds; increase it if necessary.
  3. Increase TCP buffering for 10G or 40G Ethernet. Many Linux distributions come with good buffering presets for 1G Ethernet. In a datacenter/HPC cluster with 10G or 40G Ethernet NICs, this amount of kernel buffering is typically insufficient. Here's a set of parameters that some have used for good 10G/40G TCP bandwidth:

Each of the above items is a Linux kernel parameter that can be set in multiple different ways.

  1. You can change the running kernel via the /proc filesystem:
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    shell# cat /proc/sys/net/ipv4/tcp_syn_retries
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    shell# echo 6 > /proc/sys/net/ipv4/tcp_syn_retries
  2. You can also use the sysctl command:
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    shell# sysctl net.ipv4.tcp_syn_retries
    net.ipv4.tcp_syn_retries = 5
    shell# sysctl -w net.ipv4.tcp_syn_retries=6
    net.ipv4.tcp_syn_retries = 6
  3. Or you can set them by adding entries in /etc/sysctl.conf, which are persistent across reboots:
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    shell$ grep tcp_syn_retries /etc/sysctl.conf
    net.ipv4.tcp_syn_retries = 6
  4. Your Linux distro may also support putting individual files in /etc/sysctl.d (even if that directory does not yet exist), which is actually better practice than putting them in /etc/sysctl.conf. For example:
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    shell$ cat /etc/sysctl.d/my-tcp-settings
    net.ipv4.tcp_syn_retries = 6


10. How does Open MPI know which IP addresses are routable to each other in Open MPI 1.2?

This is a fairly complicated question — there can be ambiguity when hosts have multiple NICs and/or there are multiple IP networks that are not routable to each other in a single MPI job.

It is important to note that Open MPI's atomic unit of routing is a process — not an IP address. Hence, Open MPI makes connections between processes, not nodes (these processes are almost always on remote nodes, but it's still better to think in terms of processes, not nodes).

Specifically, since Open MPI jobs can span multiple IP networks, each MPI process may be able to use multiple IP addresses to communicate with each other MPI process (and vice versa). So for each process, Open MPI needs to determine which IP address — if any — to use to connect to a peer MPI process.

For example, say that you have a cluster with 16 nodes on a private ethernet network. One of these nodes doubles as the head node for the cluster and therefore has 2 ethernet NICs — one to the external network and one to the internal cluster network. But since 16 is a nice number, you also want to use it for computation as well. So when you mpirun spanning all 16 nodes, OMPI has to figure out to not use the external NIC on the head node and only use the internal NIC.

To explain what happens, we need to explain some of what happens in MPI_INIT. Even though Open MPI only makes TCP connections between peer MPI processes upon demand (see this FAQ entry), each process publishes its TCP contact information which is then made available to all processes. Hence, every process knows the IP address(es) and corresponding port number(s) to contact every other process.

But keep in mind that these addresses may span multiple IP networks and/or not be routable to each other. So when a connection is requested, the TCP BTL component in Open MPI creates pairwise combinations of all the IP addresses of the localhost to all the IP addresses of the peer process, looking for a match.

A "match" is defined by the following rules:

  1. If the two IP addresses match after the subnet mask is applied, assume that they are mutually routable and allow the connection.
  2. If the two IP addresses are public, assume that they are mutually routable and allow the connection.
  3. Otherwise, the connection is disallowed (this is not an error — we just disallow this connection on the hope that some other device can be used to make a connection).

These rules tend to cover the following scenarios:

  • A cluster on a private network with a head node that has a NIC on the private network and the public network
  • Clusters that have all public addresses

These rules do not cover the following cases:

  • Running an MPI job that spans public and private networks
  • Running an MPI job that spans a bunch of private networks with narrowly-scoped netmasks, such as nodes that have IP addresses 192.168.1.10 and 192.168.2.10 with netmasks of 255.255.255.0 (i.e., the network fabric makes these two nodes be routable to each other, even though the netmask implies that they are on different subnets).


11. How does Open MPI know which IP addresses are routable to each other in Open MPI 1.3 (and beyond)?

Starting with the Open MPI v1.3 series, assumptions about routability are much different than prior series.

With v1.3 and later, Open MPI assumes that all interfaces are routable as long as they have the same address family, IPv4 or IPv6. We use graph theory and give each possible connection a weight depending on the quality of the connection. This allows the library to select the best connections between nodes. This method also supports striping but prevents more than one connection to any interface.

The quality of the connection is defined as follows, with a higher number meaning better connection. Note that when giving a weight to a connection consisting of a private address and a public address, it will give it the weight of PRIVATE_DIFFERENT_NETWORK.

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            NO_CONNECTION = 0
PRIVATE_DIFFERENT_NETWORK = 1
PRIVATE_SAME_NETWORK      = 2
PUBLIC_DIFFERENT_NETWORK  = 3
PUBLIC_SAME_NETWORK       = 4

At this point, an example will best illustrate how two processes on two different nodes would connect up. Here we have two nodes with a variety of interfaces.

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        NodeA                NodeB
   ---------------       ---------------
  |     lo0       |     |     lo0       |
  |  127.0.0.1    |     |  127.0.0.1    |
  |  255.0.0.0    |     |  255.0.0.0    |
  |               |     |               |
  |     eth0      |     |    eth0       |
  |   10.8.47.1   |     |   10.8.47.2   |
  | 255.255.255.0 |     | 255.255.255.0 |
  |               |     |               |
  |     ibd0      |     |     ibd0      |
  |  192.168.1.1  |     |  192.168.1.2  |
  | 255.255.255.0 |     | 255.255.255.0 |
  |               |     |               |
  |     ibd1      |     |               |
  |  192.168.2.2  |     |               |
  | 255.255.255.0 |     |               |
   ---------------       ---------------

From these two nodes, the software builds up a bipartite graph that shows all the possible connections with all the possible weights. The lo0 interfaces are excluded as the btl_tcp_if_exclude MCA parameter is set to lo by default. Here is what all the possible connections with their weights look like.

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     NodeA         NodeB
eth0 --------- 2 -------- eth0
    \
     \
      \------- 1 -------- ibd0
 
ibd0 --------- 1 -------- eth0
    \
     \
      \------- 2 -------- ibd0
 
ibd1 --------- 1 -------- eth0
    \
     \
      \------- 1 -------- ibd0

The library then examines all the connections and picks the optimal ones. This leaves us with two connections being established between the two nodes.

If you are curious about the actual connect() calls being made by the processes, then you can run with --mca btl_base_verbose 30. This can be useful if you notice your job hanging and believe it may be the library trying to make connections to unreachable hosts.

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# Here is an example with some of the output deleted for clarity.
# One can see the connections that are attempted.
shell$ mpirun --mca btl self,sm,tcp --mca btl_base_verbose 30 -np 2 -host NodeA,NodeB a.out
[...snip...]
[NodeA:18003] btl: tcp: attempting to connect() to address 10.8.47.2 on port 59822
[NodeA:18003] btl: tcp: attempting to connect() to address 192.168.1.2 on port 59822
[NodeB:16842] btl: tcp: attempting to connect() to address 192.168.1.1 on port 44500
[...snip...]

In case you want more details about the theory behind the connection code, you can find the background story in a brief IEEE paper.


12. Does Open MPI ever close TCP sockets?

In general, no.

Although TCP sockets are opened "lazily" (meaning that MPI connections / TCP sockets are only opened upon demand — as opposed to opening all possible sockets between MPI peer processes during MPI_INIT), they are never closed.


13. Does Open MPI support IP interfaces that have more than one IP address?

In general, no.

For example, if the output from your ifconfig has a single IP device with multiple IP addresses like this:

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0: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc mq state UP qlen 1000
   link/ether 00:18:ae:f4:d2:29 brd ff:ff:ff:ff:ff:ff
   inet 192.168.0.3/24 brd 192.168.0.255 scope global eth0:1
   inet 10.10.0.3/24 brf 10.10.0.255 scope global eth0
   inet6 fe80::218:aef2:29b4:2c4/64 scope link
      valid_lft forever preferred_lft forever

(note the two "inet" lines in there)

Then Open MPI will be unable to use this device.


14. Does Open MPI support virtual IP interfaces?

No.

For example, if the output of your ifconfig has both "eth0" and "eth0:0", Open MPI will get confused if you use the TCP BTL, and may hang or otherwise act unpredictably.

Note that using btl_tcp_if_include or btl_tcp_if_exclude to avoid using the virtual interface will not solve the issue.

This may get fixed in a future release. See GitHub issue #160 to follow the progress on this issue.


15. Why do I only see 5 Gbps bandwidth benchmark results on 10 GbE or faster networks?

Before the 3.0 release series, Open MPI set two TCP tuning parameters which, while a little large for 1 Gbps networks in 2005, were woefully undersized for modern 10 Gbps networks. Further, the Linux kernel TCP stack has progressed to a dynamic buffer scheme, allowing even larger buffers (and therefore window sizes). The Open MPI parameters meant that for most any multi-switch 10 GbE configuration, the TCP window could not cover the bandwidth-delay product of the network and, therefore, a single TCP flow could not saturate the network link.

Open MPI 3.0 and later removed the problematic tuning parameters and let the kernel do its (much more intelligent) thing. If you still see unexpected bandwidth numbers in your network, this may be a bug. Please file a GitHub Issue. The tuning parameter patch was backported to the 2.0 series in 2.0.3 and the 2.1 series in 2.1.2, so those versions and later should also not require workarounds. For earlier versions, the parameters can be modified with an MCA parameter:

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shell$ mpirun --mca btl_tcp_sndbuf 0 --mca btl_tcp_rcvbuf 0 ...


16. Can I use multiple TCP connections to improve network performance?

Open MPI 4.0.0 and later can use multiple TCP connections between any pair of MPI processes, striping large messages across the connections. The btl_tcp_links parameter can be used to set how many TCP connections should be established between MPI ranks. Note that this may not improve application performance for common use cases of nearest-neighbor exchanges when there many MPI ranks on each host. In these cases, there are already many TCP connections between any two hosts (because of the many ranks all communicating), so the extra TCP connections are likely just consuming extra resources and adding work to the MPI implementation. However, for highly multi-threaded applications, where there are only one or two MPI ranks per host, the btl_tcp_links option may improve TCP throughput considerably.