The 5th Pan-Galactic BOINC Workshop. Desktop Grid System

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1 The 5th Pan-Galactic BOINC Workshop Desktop Grid System

2 AGENDA The problem LEGION Uses in PUCP Conclusions Future prospects

3 The problem

4 Needs Researchers (Physicists, Mathematicians, Sociologists, etc) required intensive computing to solve problems PUCP had no HIGH PERFORMANCE COMPUTING SOLUTION to satisfy these needs

5 Computer Commons ~500 PCs - Intel Core 2 Duo 3Ghz with 2GB RAM. Mostly used for : Web surfing Word processing, spreadsheets, etc Other non-demanding apps Computing resources : WASTED Managed Run by (elige) DIA (Academic Computing Office)

6 Approaches for intensive computing Traditional cluster Grid Computing Desktop Grid Computing CONDOR BOINC

7 Proposal To take advantage of the idle time from the Pcs in the computer labs, for its use in computing intensive applications. Set up a computing system (DESKTOP GRID) based in BOINC. Offer a simple, friendly web interface to our researchers.

8 What is LEGION? Name of PUCP's service for DESKTOP GRID COMPUTING BOINC based

9 Working with LEGION LEGION offers to scientists an easy and friendly web interface to submit tasks, without knowledge of BOINC. Remotely configures nodes to associate them to a project. Porting applications: Development of special modules for each project.

10 Porting applications P1: Programs the model WU to be run in BOINC Client. Use API BOINC Client. P2: Program to partition data to be used. P3: WUs generation. Use API BOINC Server. P4: Mysql trigger event. Summarize the final result and send alert. P5: Web interface. Automatically modify P2, P3 and P4 for each simulation

11 BOINC Architecture Server Work Generator (C++, BOINC API) Data Server (HTTP) Web Site BOINC Project Managment (PHP) MYSQL DB BOINC Scheduler (C++) Client HTTP Client Client Client BOINC Client Demon BOINC Client BOINC Client (BOINC API) BOINC Client Demon Demon Daemon (BOINC API) (BOINCAPI) API) (BOINC

12 LEGION Architecture Server Work Generator Interface Work Generator (C++, BOINC API) create_work (C++) Data Server (HTTP) Client MYSQL DB Web Site BOINC Project Managment (PHP) Web Site LEGION (PHP) LEGION BOINC Scheduler (C++) Work Node Configurator (JAVA) HTTP Client Client Client BOINC Client Demon BOINC Client BOINC Client (BOINC API) BOINC Client Demon Demon Daemon (BOINC API) (BOINCAPI) API) (BOINC

13 Porting projects WU1 App* P1 App App + D1 API BOINC Client D1 D2 WU2 D3 D4 Data P2 WU2 S3 S4 App + D3 D5 D6 P3 D7 API BOINC Server Dn App + D2 S1 S2 WU4 BOINC App + D4 App + WUn App + Dn BOINC Server S5 S6 S7 Sn P4 Results

14 Web Module P5 (3) (1) (2) App* App WU1 App + D1 D1 WU2 D2 Data P2 D3 D4 D5 D6 D7 Dn App + D2 WU3 App + D3 P3 WU4 App + D4 App + WUn App + Dn BOINC S1 S2 S3 S4 S5 S6 S7 Sn P4 Results

15 As a first step, Legion joins BOINC clients to the project using RPC messages through Work Node Configurator module. RPC RPC RPC Legion Server (Work Node Configurator) RP C BOINC Clients

16 Example: PI Project Only for testing purpose with LEGION. We use the BBP Formula (discovered by Bailey, Borwein, and Plouffe in 1995). Calculate the N-th digit of PI (in base 16) without having to calculate the previous digits. Each WU compute PI portions of 50 digits. D1=1-50, D2=51-100, D3= , etc

17

18 Example: PI Project

19 Example: PI Project

20 Example: PI Project

21 Example: PI Project

22 Example: PI Project

23 Example: PI Project

24 Example: PI Project

25 Example: PI Project

26 Example: PI Project

27 Uses in PUCP

28 LEGION : Computing resources BOINC Client configured to take over just 50% of available resources Estimated computing power : 1 TeraFLOP/s (based upon reports of BOINC Client) Automatic installation of needed software for each project (example: R) Transparent for the end user

29 Finished projects Validation for : A Binary Regresion Model BBB Skew Probit Phd. Jorge Bazán Simulation for the Number of Undergraduate Studens in PUCP, using Absorbing Markov Chains. Eng. Eduardo Carbajal López. High energy neutrino production in active core galaxies : A two model comparison. HE Group, Phd. Alberto Gago

30 Example : HE Group CPU Hours (aprox. 635 days) down to aprox. 60 hours. (processing)

31 Conclusions and Notes

32 Conclusion It is feasible to use IDLE COMPUTING CAPACITY available in higher-education computer commons (labs). Low cost for a high throughput computing architecture, special for latinamerican reality. Simple system in the hands of researchers Easy campus deployment

33 Future prospects

34 Need of ease P5 programming P5 ADAPTATION LAYER WU1 App* App + D1 App WU2 D1 App + D2 D2 Data P2 D3 D4 D5 D6 D7 Dn WU3 App + D3 P3 WU4 App + D4 App + WUn App + Dn BOINC S1 S2 S3 S4 S5 S6 S7 Sn P4 Results

35 Many specials projects only run with Linux, Aliroot package is an example, with 2GB of libraries. We need configure virtual machines (using VMware) with Scientific Linux on Windows XP. Launch projects to Cloud Computing. For example with Amazon EC2 and S3 Service.

36 Work Team Coordinator: Genghis Ríos Kruger SysAdmin for BOINC Server : Oscar Díaz Barriga Legion Programmer : Martín Iberico Hidalgo

37 Questions?

38 Thank You! LEGION PUCP

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