Lab A Paper 1 Groups (note your group number)

1. Michael Devinroy, Daniel Park, Caleb Ho
2. Maggie Eberts, Shiqin Wang, Tiffany Yu
3. David Levy, Alex Mandel
4. Brent Jacobs, Shawn Pan, Andrew Powell
5. Carlo Sivilotti, Ryan Shi, Lumin Lwin

Lab B Paper 1 Groups (note your group number)

1. Jimmy Shah, Tai Warner, Eugene Wu
2. Rachel Diamod, Rebecca Norling-Ruggles, Annie Zhao
3. Liam Packer, Zhuolun (Alan) Zhao
4. Kei Imada, Chritian Llop, Jonah Langlieb
5. Do June Min, Henry Han

The type of system you will present is based on your Reading group ID:

• Group 1: MPP Cray Systems

• Group 2: MPP non-Cray Systems

• Group 3: Cluster

• Group 4: GPU (GPGPU)

• Group 5: Cloud or Grid

Suggestions for Specific Systems to Present

Below are suggestions for particular parallel computers or systems that you can choose to present for your assigned type (take a quick look at options, pick a system quickly, and then move on to finding out about it and planing your presentation).

For Groups 1, 2, and 3, please pick a system from the top500.org November 2017 top 500 list (the numbers next to my suggested machines below are the machines number from this list). You can find machines types on the top500 list:

• The architecture is listed with each machine. You can also use their sublist generator (under Statistics menu, choose SublistGenerator) to generate a list of only specific architectures (choose MPP or cluster).
• usually systems at national labs, universities or supercomputing centers have more on-line information than systems at companies. Also there are often more public informationa and articles about machines at the top of the list.

  I've divided up my suggetions below by lab section to encourage unique systems across the two lab sections. If you deviate from my suggestion list, please check with your corresponding group in the other section to see that you are not duplicating systems (I'd like you to avoid choosing duplicate systems across labs for Groups 1, 2, 3 machines, and also for specific clouds or grid systems in Group 5).

  1. Group 1: MPP Cray Systems Pick a machine from the top500 list to present. There are a lot of other Cray MPP machines at US national labs in top500.org list if these starting suggestions don't pan out.

     (top500 ranking) System:
     ------------------------
     Lab A: some options												
     ===================
      5.  Titan - Cray XK7, ...
          DOE/SC/Oak Ridge National Laboratory, United States 
          https://www.olcf.ornl.gov/titan/
     
     19.  Hazel Hen - Cray XC40, ...
          HLRS - Höchstleistungsrechenzentrum Stuttgart, Germany 
          http://www.hlrs.de/
     
     Lab B: some options:
     ====================
      3.  Piz Daint - Cray XC50, ...
          Swiss National Supercomputing Centre (CSCS), Switzerland 
          https://www.cscs.ch/computers/dismissed/piz-daint-piz-dora/
     
      8.  Cori - Cray XC40, ...
          DOE/SC/LBNL/NERSC, United States 
          http://www.nersc.gov/users/computational-systems/cori/
     

     Looking at Cray's website may be useful too.
  2. Group 2: MPP Non-Cray Systems Pick a machine from the top500 list. Here are a few to consider (and there are a lot of other BlueGene machines at US national labs in top500.org list if these don't pan out):

     Lab A: some options												
     ===================
      1. Sunway TaihuLight - Sunway MPP, ...
         National Supercomputing Center in Wuxi, China
         http://www.nsccwx.cn/  (upper-right link to English)
     
     11. Mira - BlueGene/Q, ...
         DOE/SC/Argonne National Laboratory, US
         http://www.anl.gov/videos/mira-next-generation-supercomputer
     
     Lab B: some options
     ===================
      6. Sequoia - BlueGene/Q, ...
         DOE/NNSA/LLNL,  United States 
         https://www.llnl.gov/
     
     22. JUQUEEN - BlueGene/Q, ...
         Forschungszentrum Juelich (FZJ), Germany 
         www.fz-juelich.de/ias/jsc/EN/Expertise/Supercomputers/JUQUEEN/JUQUEEN_node.html
     

     Looking at IBMs website for Blue Gene information may be useful too.
  3. Group 3: Clusters If you pick a machine at near the top of the list, you may find more informtation about it: Here are a few to consider:

     Lab A: some options
     ===================
      2. Tianhe-2 (MilkyWay-2) - TH-IVB-FEP Cluster, Intel Xeon ...
         TH Express-2, Intel Xeon Phi 31S1P , NUDT
         National Super Computer Center in Guangzhou, China  
       an article about Tianhe-2:
       www.netlib.org/utk/people/JackDongarra/PAPERS/tianhe-2-dongarra-report.pdf
     
     12. Stampede2 - PowerEdge C6320P/C6420, Intel Xeon ...
         Intel Omni-Path , Dell EMC
         Texas Advanced Computing Center/Univ. of Texas, United States 
         https://www.tacc.utexas.edu/
     
     Lab B: some options
     ===================
     10.  K computer, SPARC64 ...
          RIKEN Advanced Institute for Computational Science (AICS), Japan
          http://www.aics.riken.jp/en/
     
     17.  Pleiades - SGI ICE X, Intel Xeon, ...
          NASA/Ames Research Center/NAS, United States 
          https://www.nas.nasa.gov/
     
     24.  Cheyenne - SGI ICE XA, Xeon ...
          National Center for Atmospheric Research (NCAR), United States 
          https://ncar.ucar.edu/
     

  4. Group 4: GPUs (GPGPU focus) The GPU Architecture and GPGPU Programming Model should be the focus of your presentation. Do not present GPUs in the context of their use for graphics processing. Instead, focus on GPUs for general purpose parallel programming. Look at Nvidia's site for documentation about GPU architecture. CUDA is Nvidia's language for General-Purpose programming on a GPU (GPGPU). Search the web. There is a lot out there.

  5. Group 5: Cloud and Grid Systems Pick a Cloud or a Grid system to present.

     Part of this presentation should involve definition(s) of Cloud (or Grid) computing (what is it? what are common features? what are goals of cloud (or grid) computing? what are the features of the system you are presenting?) The wikipedia cloud computing page may be a good place to start.

     Either pick a Cloud (or a grid) system to present, or you can present a software system for cloud management or cloud or grid application development. If you do the later, you should still include the definitions of a cloud system in your presentation.

     Some commercial cloud systems may not have a lot of public information about their system. Try to pick one that has a reasonable amount, and try to search for articles about the system. If there isn't much out there, pick a different system with more documentation about it.

     Here are few suggestions, you are free to find others:

     Example commercial cloud systems:
     ---------------------------------
     Amazon EC2
     Windows Azure
     Google App Engine
     
     Grid Systems
     -----------
     HTCondor: research.cs.wisc.edu/htcondor
     Globus: www.globus.org
     PlanetLab: www.planetlab.org
     
     Some open SW for cloud management or cloud application development:
     -------------------------------------------------------------------
     OpenStack (software for cloud system): openstack.org
     Eucalyptus
     Rackspace 
     Salesforce