Thursday, January 12, 2012

CIS(theta) 2011-2012 - Scaling the Cluster! - Meeting VIII

The following is a summary of what we've accomplished so far with the 2011-2012 CIS(theta) team. Our new Shadowfax Cluster is coming along quite well. We have a nice base OS in the 64bit Ubuntu 11.04 Natty Narwhal Desktop on top of our AMD dualcore Athlons and gigE LAN. The Unity Desktop isn't that different from the Gnome Desktop we've been using these past few years on Fedora and Ubuntu. Natty is proving very user friendly and easy to maintain! We installed openMPI and we used flops.f to scale our cluster up to 50 cores! Remember, we needed openSSH public keys so openMPI can scatter/gather cluster jobs without the overhead of logging into each node as needed. We created a user common to all cluster nodes called "jobs" in memory of Steve Jobs so the cluster user can simply log into one node and be logged into all nodes at once (you can actually ssh into each node as "jobs" without specifying a userid or passwd)!
InstantCluster Step 1: Infrastructure
Make sure your cores have enough ventilation. The room has to have powerful air conditioning too. These two factors may seem trivial but will become crucial when running the entire cluster for extended periods of time! Also, you need to have enough electrical power, preferably with the cabling out of the way, to run all cores simultaneously. Don't forget to do the same with all your Ethernet cabling. We have CAT6E cables to support our gigE Ethernet cards and switches. We are lucky that this step was taken care of for us already!

InstantCluster Step 2: Hardware
You need up to date Ethernet switches plus Ethernet cards and cores as well as plenty of RAM in each Linux box. As stated above, our gigE LAN and switches were already setup for us. Also, we have 64bit dual-core AMD Athlons and our HP boxes have 2GB of RAM. We are still waiting for our quad-core AMD Phenom upgrade!

InstantCluster Step 3: Firmware (Meeting III)
We wasted way too much time two years ago (2009-2010 CIS(theta)) trying out all kinds of Linux distros looking for a good 64bit base for our cluster. Last year (2010-2011 CIS(theta)) we spent way too much time testing out different liveCD distros. Last year, we also downgraded from 64bit Ubuntu 10.04 Desktop edition to the 32bit version on our Linux partitions. 64bit gives us access to more RAM and a larger maxint, but was proving to be a pain to maintain. Just to name one problem, jre and flash were hard to install and update on FireFox. Two years ago, we tried Fedora, Rocks, Oscar, CentOS, Scientific Linux and, finally, Ubuntu. We've done this several times over the years using everything from Slakware and KNOPPIX to Fedora and Ubuntu! This year, 64bit Ubuntu has proven very easy to use and maintain, so I think we'll stick with it for the cluster!

InstantCluster Step 4: Software Stack I (Meeting IV)
On top of Ubuntu we need to add openSSH, public-key authentication (step 4) and openMPI (step 5). Then we have to scale the cluster (step 6). In steps 7-10, we can discuss several applications to scatter/gather over the cluster whether it be graphical (fractals, povray, blender, openGL, animations) or number crunching (C++ or python app for Mersenne Primes or Beal's Conjecture). So, what follows is a summary of what we did to get up to plublic-key authentication. This summary is based on the http://cs.calvin.edu/curriculum/cs/374/MPI/ link listed below. First, we installed openSSH-server from http://packages.ubuntu.com, then:
  1. If you have no .ssh directory in your home directory, ssh to some other machine in the lab; then Ctrl-d to close the connection, creating .ssh and some related files. 
  2. From your home directory, make .ssh secure by entering:
    chmod 700 .ssh
  3. Next, make .ssh your working directory by entering:
    cd .ssh
  4. To list/view the contents of the directory, enter:
    ls -a [we used ls -l]
  5. To generate your public and private keys, enter:
    ssh-keygen -t rsa
    The first prompt is for the name of the file in which your private key will be stored; press Enter to accept the default name (id_rsa).The next two prompts are for the password you want, and since we are trying to avoid entering passwords, just press Enter at both prompts, returning you to the system prompt.
  6. To compare the previous output of ls and see what new files have been created, enter:
    ls -a [we used ls -l]
    You should see id_rsa containing your private key, and id_rsa.pub containing your public key.
  7. To make your public key the only thing needed for you to ssh to a different machine, enter:
    cat id_rsa.pub >> authorized_keys
    [The Linux boxes on our LAN, soon to be cluster, have IPs ranging from 10.5.129.1 to 
    10.5.129.24 So, we copied each id_rsa.pub file to temp01-temp24 and uploaded these 
    files via ssh to the teacher station. Then we just ran cat tempnn >> authorized_keys 
    for each temp file to generate one master authorized_keys file for all nodes that we could 
    just download to each node's .ssh dir.]
  8. [optional] To make it so that only you can read or write the file containing your private key, enter:
    chmod 600 id_rsa [optional] To make it so that only you can read or write the file containing your authorized keys, enter: chmod 600 authorized_keys
InstantCluster Step 5: Software Stack II (Meeting V)
We then installed openMPI (we had a lot less dependencies this year with Natty 11.04 64bit) and tested multi-core with flops. Testing the cluster as a whole will have to wait until the next meeting when we scale the cluster! We followed openMPI install instructions for Ubuntu from http://www.cs.ucsb.edu/~hnielsen/cs140/openmpi-install.html
These instructions say to use sudo and run run apt-get install openmpi-bin openmpi-doc libopenmpi-dev However, the way our firewall is setup at school, I can never update my apt-get sources files properly. So, I used http://packages.ubunutu.com and installed openmpi-bin, gfortran and libopenmpi-dev. That's it!
Then we used the following FORTRAN code to test multi-core. FORTRAN, really? I haven't used FORTRAN77 since 1979! ...believe it or don't!
We compiled flops.f on the Master Node (any node can be a master):
mpif77 -o flops flops.f
and tested openmpi and got just under 800 MFLOPS using 2 cores (one PC):
mpirun -np 2 flops
Next, we generated a "machines" file to tell mpirun where all the nodes (Master and Workers) are (2 PCs or nodes with 2 cores each for example):
mpirun -np 4 --hostfile machines flops
Every node has the same "machines" text file in /home/jobs listing all the IPs, one per line. Every node has the same "flops" executable file (or whatever your executable will be) in /home/jobs. Every node has the same "authorized_keys" text file with all 25 keys in /home/jobs/.ssh 
Note: last year we got about 900 MFLOPS per node. This year we still have 64bit AMD athlon dualcore processors. However, these are new PCs, so these athlons have slightly different specs. Also, last year we were running Maverick 10.04 32bit ... and ... these new PCs were supposed to be quadcores! We are still awaiting shipment.
InstantCluster Step 6: Scaling the cluster
UPDATE: 2011.1126 (Meeting VI)
Including myself, we only had 3 members attending this week. So, we added 3 new nodes. We had nodes 21-24 working well last time. Now we have nodes 19-25 for a total of 7 nodes, 14 cores and over 5 GFLOPS! This is how we streamlined the process: 
(1) adduser jobs and login as jobs 
(2) goto http://packages.ubuntu.com and install openssh-server from the natty repository 
(3) create /home/jobs/.ssh dir and cd there 
(4) run ssh-keygen -t rsa 
(5) add new public keys to /home/jobs/.ssh/authenticated_keys to all nodes 
(6) add new IPs to /home/jobs/machines to all nodes
(7) goto http://packages.ubuntu.com and install openmpi-bin, gfortran and libopenmpi-devfrom the natty repository
(8) download flops.f to /home/jobs from our ftpsite compile and run: 
mpif77 -o flops flops.f and 
mpirun -np 2 flops or 
mpirun -np 4 --hostfile machines flops 
NB: since we are using the same hardware, firmware and compiler everywhere, we don't need to recompile flops.f on every box, just copy flops from another node!
(9) The secret is setting up each node identically:
/home/jobs/flops
/home/jobs/machines
/home/jobs/.ssh/authenticated_keys


UPDATE: 2011.1214 (Meeting VII)
We had 5 members slaving away today. Nodes 19-25 were running at about 5 GFLOPS last meeting. Today we added nodes 10, 11, 12, 17 and 18. However, we ran into some errors when testing more than the 14 cores we had last time. We should now have 24 cores and nearly 10 GFLOPS but that will have to wait until next time when we debug everything again....
UPDATE: 2012.0111 (Meeting VIII)
We found that some nodes did not have gfortran installed and many of the authorized_keys files were in consistent. So, we made sure every node had a user called jobs. Then we made sure we installed openssh-server, openmpi-bin, openmpi-doc (optional), libopenmpi-dev and gfortran installed. We generated all the public ssh keys and copied then over to one master authorized_keys file on shadowfax using ssh. Then we copied the master file back to each node over ssh to /home/jobs/.ssh and we tested everything with flops, and then I wrote this on FB:
Eureka, success! By Jove I think we've done it! I give you joy, gentlemen!

After you guys left, I was still trying to find the bottleneck in the cluster network. So, I just ran "mpirun -np 2 flops" on each box without the ---hostfile machines. Guess, what I found: all the cores ran at about 388 MFLOPS except the 2 cores in PC12. These cores were only running half that speed, about 194 MFLOPS each. So, all I had to do was delete the PC12 line from the machines file on the Master Node and run "mpirun -np 48 --hostfile machines flops" and every core ran over 300 MFLOPS!

What's weird is is that when I ran "mpirun -np 2 flops" on any PC other that PC12, the cores would always yield over 380 MFLOPS no matter how many times I tried it. However, when running "mpirun -np 48 --hostfile machines flops" the yield varied greatly. Each core ran somewhere between 310 and 410 MFLOPS. I ran this several times as well. I'd say I got a mean of about 15.5 GFLOPS with a standard deviation of 2.25 GFLOPS. In other words, a typical run would fall in the range of 13.25 to 17.75 GFLOPS.

What's even weirder is that the pelicanHPC liveCD ran all 50 cores last week at nearly 20 GFLOPS with each core running more than 350 MFLOPS. What's up with that?

So, we are back on track. We got the cluster fully operational before midterms! Our next meeting (2/8/12) will be about what applications we can run over openMPI. You each should google for beginners' projects using mpicc, mpiCC, mpif77 or mpif90 and maybe even mpi4py. Simple number crunching or graphics would do! Maybe I'll also show you how pelicanHPC liveCD can PXE boot the whole room into an openMPI cluster in 5-10 minutes!
===================================================
What we are researching V 
(we used to use the BCCD liveCD, look at their openMPI code):
===================================================
What we are researching IV 
(maybe we can use Python on our MPI cluster?):
What we are researching III 
(look at some clustering environments we've used in the past):
We used PVM PVMPOV in the 1990s.
Let's try out openMPI and Blender now!
http://www.blender.org












===================================================
What we are researching II 
(look what other people are doing with MPI):
MPI intro, nice!
Sample MPI code
http://www.cc.gatech.edu/projects/ihpcl/mpi.html            
===================================================
What we are researching I 
(look what this school did in the 80s and 90s): 
Thomas Jefferson High courses
Thomas Jefferson High paper
Thomas Jefferson High ftp
Thomas Jefferson High teacher
http://www.tjhsst.edu/~rlatimer/            
===================================================
Today's Topic:
CIS(theta) 2011-2012 - Scaling the Cluster! - Meeting VIII
Today's Attendance:
CIS(theta) 2011-2012: GeorgeA, KennyK, LucasE; CIS(theta) 
Today's Reading:
Chapter 5: Building Parallel Programs (BPP) using clusters and parallelJava            
===================================================
Well, that's all folks, enjoy!
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