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Cactus in GrADS HFA

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Best virtual machine selected based on performance model. AM starts Cactus on that virtual machine (and monitors execution Contracts? ... – PowerPoint PPT presentation

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Title: Cactus in GrADS HFA


1
Cactus in GrADS (HFA)
  • Ian Foster
  • Dave Angulo, Matei Ripeanu, Michael Russell

2
Presentation Outline
  • Introduction to Cactus
  • Cactus Applications
  • Cactus Architecture
  • Cactus Worm Thorn
  • Tequila Thorn (Cactus in GrADs)
  • Tequila Architectur
  • Issues

3
What is Cactus?
  • Cactus is a freely available, modular, portable
    and manageable environment for collaboratively
    developing parallel, high-performance
    multidimensional simulations

4
Example Cactus Output
Example output from Numerical Relativity
Simulations
5
Cactus Applications
  • Application Thorns are Astrophysics applications
  • Calculate Schwartzchild Event Horizons for
    colliding black holes

6
Cactus Applications (cont.)
  • Candidate apps are Elliptical Solver or BenchADM
  • Abstract Topologies are simple 3D Grid

7
Cactus Applications (cont.)
  • Applications can easily be linked in with the
    other thorns used as tools.
  • Application Thorns are just selected and run with
    the other selected thorns

8
Cactus Architecture
Cactus
Thorns
Computational Toolkit
Toolkit
Toolkit
Flesh
Make
Configure
CST
Operating Systems
SuperUX
Irix
Linux
Unicos
HP-UX
Solaris
OSF
NT
AIX
9
Cactus Model (cont.)
10
Running Cactus
11
Cactus model
  • This is the currently working Cactus application
    framework that we will modify

12
Worm Thorn Functions
  • Initiates moving to new resource when scheduled
    time is exhausted
  • Contacts IS to get a new node to run on
  • Checkpoints application
  • Restarts application on the new node
  • Runs on single node only

13
GrADS Cactus Model
  • We will start with Worm thorn code to make new
    Tequila thorn (Apotheosized Cactus Worm).

14
Tequila thorn functions
  • Receives event (generated by user) to initiate
    adapting resources.
  • Contacts ResourceSelector to get new bag of
    resources
  • Checkpoints application
  • Restarts application on the new resources

15
Events
  • Events that cause the user to want to adapt
    resources
  • User changes parameters during runtime that
    requires additional resources
  • Example starting an analysis routine
  • Example running an event horizon finder
  • User specifies that performance is not meeting
    expectations

16
Future Events
  • Possible Future Plans for automatic resource
    adapting
  • User changes parameters during runtime that
    requires additional resources
  • Contract violations fire similar events
  • we were wrong first time
  • resources get overloaded
  • more (or fewer) (or different) processors appear
  • distribution changed
  • resolution changed

17
Tequila thorn contacts ResourceSelector
  • ResourceSelector must be set up as service
  • Tequila thorn sends request for new bag of
    resources
  • ResourceSelector responds with the new bag

18
Request and Response
  • The Request to the ResourceSelector will be
    stored in the InformationService
  • Only the pointer to the data in the IS will be
    passed to the ResourceSelector
  • The Response from the ResourceSelector will also
    be stored in the IS
  • Only the pointer to the data in the IS will be
    passed back.

19
Tequila communication overview
20
Cactus Architecture in GrADS
Cactus
Thorns
Computational Toolkit
Toolkit
Flesh
Make
Configure
CST
Operating Systems
SuperUX
Irix
Linux
Unicos
HP-UX
Solaris
OSF
NT
AIX
21
Open Issues
  • How does Contract Monitor fit into architecture?
  • How does PPS fit into architecture?
  • How does COP and Aplication Launcher fit into
    architecture (Cactus has its own launcher and
    compiles its own code)?
  • How does Pablo fit into architecture (Which
    thorns are monitored, is flesh monitored)?

22
End of Presentation
23
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24
Communication Details step 1
  • Event sent to Tequila thorn requesting restart

25
Communication Details step 2
  • Tequila store AART in IS

26
Communication Details step 3
  • Tequila sends request to ResourceSelector passing
    pointer to data in IS

27
Communication Details step 4
  • ResourceSelector retrieves AART from IS

28
Communication Details step 5
  • ResourceSelector stores bag of resources (in
    AART) in IS

29
Communication Details step 6
  • ResourceSelector responds to Tequila passing
    pointer to data in IS

30
Communication Details step 7
  • Tequila retrieves AART with new bag of resources
    from IS

31
Requirements
  • Using the IS for communication adds overhead.
  • Why do this?
  • GrADS requirement 1 do some things (e.g.
    compile) at one time and have the results stored
    in a persistent storage area. Pick these stored
    results up later and complete other phases.

32
Requirements (cont.)
  • GrADS requirement 2 Application people want to
    be able to allow users to manually interact in
    any of the "module interfaces." Tequila allows
    this to be done with a web client.

33
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34
Parallelism in Cactus
  • Cactus is designed around a distributed memory
    model. Each thorn is passed a section of the
    global grid.
  • The actual parallel driver (implemented in a
    thorn) can use whatever method it likes to
    decompose the grid across processors and exchange
    ghost zone information - each thorn is presented
    with a standard interface, independent of the
    driver.
  • Standard driver distributed with Cactus (PUGH) is
    for a parallel unigrid and uses MPI for the
    communication layer
  • PUGH can do custom processor decomposition and
    static load balancing

35
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36
Sample Tequila Scenario
  • User asks to run an ADM simulation 400x400x400
    for 1000 timesteps in 10s.
  • Resource selector contacted to obtain virtual
    machines
  • Best virtual machine selected based on
    performance model.
  • AM starts Cactus on that virtual machine (and
    monitors execution Contracts?)
  • User (or application manager) decides that
    computation advances too slow and decides to
    search for a better virtual machine
  • AM finds a better machine, commands the Cactus
    run to Checkpoint, transfers files and restart
    Cactus
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