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1 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de http://www.interactive-grid.eu

2 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Grid Zugriff für USCT Marcus Hardt IWR

3 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Grid middleware gLite  Middleware := Layer between application and operating system  gLite Development driven by CERN ● Tools for data+computing of new accelerator ● 10TB/year * 20years, random access  Paradigm: Send job to where the data is  Job: Self contained application  Building blocks integrate functionality: ● Monitoring ● Resource Brokerage ● Computer cluster ● Data storage

4 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Grid middleware gLite

5 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de g gLite installations in Europe

6 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Many grid projects  72 grid-related EU-projects  Why so many small grids? ● Own the infrastructure ● Know their owners ● Influence on development  FZK involvement: ● EGEE ● DGRID (Rainer Stotzka et.al.) ‏ ● Interactive European Grid Project = int.eu.grid = i2g

7 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Interactive grid  2 Year Project (May'06 - April'08) ‏  ~20 people  Mission ● 100% gLite compatible extensions ● Bring grid to new user communities ● Improve useability  Application areas ● Fusion ● Medicine (USCT) ‏ ● Environment ● Astrophysics

8 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Background 12 clusters in 7 countries ~ 785 CPUs & 40TB disk

9 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de What is interactivity?  1. Avoid queuing of important jobs  2. Online job steering  3. Interactive stdin / stdout transport  4. Direct (network) access to compute resources => This is my task

10 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de The application  The application: Ultrasound CT (USCT) ‏ ● New method for medical imaging ● Application: Breast cancer diagnosis USCT setup

11 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de USCT reconstruction := “Black Box”  Algorithm: ● Based on ellipsoidal backprojection (SAFT) ‏ ● Converts ultrasound signals to 3D volume graphics Input: ~ 20 GB Output: ~ 8 GB ● Computing time: 4096 2 (2D)/35 MB...128 2 x100/20 GB...4096 2 x 3410/20 GB 1hour...1.5 Months...150 Years  Matlab ● Problem solving environment similar to Maple, Mathematica, Scilab... ● Strategic development platform ● But: not possible to “submit matlab to the grid”

12 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de The USCT application at FZK  Computation takes long (days, weeks, years) ‏

13 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de The USCT application at FZK  Computation takes long (days, weeks, years) ‏  Grid in order to speed up  Goal: ● Seamless, interactive, grid access ● from Matlab

14 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de  Initial approach to parallel execution: ● Partitioning of data ● Many parallel jobs Using gLite

15 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de  Lets take a closer look Using gLite

16 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de  Using gLite  Goal: ● Seamless ● Interactive ● Grid access ● From matlab

17 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de What's missing?  Seamless ● Don't compile standalone application  Interactive ● No overhead (< 10 s) ‏ ● No manual data movement  From Matlab ● Run Matlab-functions remotely   Goal: ● Seamless ● Interactive ● Grid access ● From matlab

18 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de What's missing?  Seamless ● Don't compile standalone application  Interactive ● No overhead (< 10 s) ‏ ● No manual data movement  From Matlab ● Run Matlab-functions remotely   Goal: ● Seamless ● Interactive ● Grid access ● From matlab  Beispiel: Grosse Excel-Tabelle ● Excel soll lokal laufen ● Berechnungen im Grid

19 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de  GridSolve ● Client interface for Java, C, Fortran, Matlab, Octave ● Easy to use: y=problem(x) y=gs_call('problem', x)‏ Transport input parameters to remote side Execute “problem” Transport result back ● Implements an client/agent/server solution ● Developed at ICL, University Tennessee, Knoxville Improving grid access with GridSolve => Reduce complexity of the grid to one function call

20 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de How to do it?  1. Make Matlab run on gLite  2. Integrate GridSolve with gLite => G rid i n M atlab using G ridsolv e & R PC GIMGER

21 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de GridSolve (GS)/gLite integration  Create GS-service hosts (GS-agent) ‏  Send 100s of GS-servers to gLite infrastructure ‏ ● Setup build infrastructure ● Package GridSolve ● Create gLite jobs ● Install GridSolve on WorkerNodes (WN) ‏  Ensure network connectivity ● GS-client, GS-agent, GS-proxy, GS-server

22 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de GridSolve startup on gLite

23 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de GridSolve ready for action

24 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de GridSolve ready in action

25 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de GridSolve ready in action

26 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Putting things together  GridSolve + gLite = GIMGER

27 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Demonstration  Simulation: Mandelbrot fractal  Using the same infrastructure

28 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de  Movie of the life demonstration: ● http://marcus.hardt-it.de/grid4matlab  Life demo on int.eu.grid Life-Demo

29 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Result  Simulation works  Reasonable speedup (4x on 8 machines) ‏

30 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Source code

31 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de Summary  We can ● Use the grid from matlab...... for hand-tuned functions ● Run simple simulations in our infrastructure  We want to... ● Use real code Cope with the data (20 GB in, 8 GB out) ‏ ● Use gLite data handling methods Identify Bottlenecks ● Automatically send Matlab functions to the grid   Goal: ● Seamless ● Interactive ● Grid access ● From matlab

32 http://interactive-grid.eu Marcus.Hardt@iwr.fzk.de

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