CLGrid: Chilean Grid initiativeGrid Coordination : CMM

Alejandro JofreJuan Carlos Maureira, Gonzalo Hernandez, Eduardo Moreno

CMM Grid Computing 2

CLGrid: Chilean Grid InitiativeDec 2005: Chilean Grid Initiative @ CMM

Scientific applications of national interest At present:

3 Universities actives in CLGrid 4 Universities joining.

Activities: Workshop 1 and 2 + Intel software college

(Scientific presentations, coordination reunions, technical talks, tutorials)

Grid programming: Testbeds Cluster implementation: hardware, OS, middleware Cluster programming: Parallel & distributed

CMM Grid Computing 3

Current Universities

• Univ. de Chile (Uchile)

• Univ. Católica del Norte (UCN)

• Univ. Austral de Chile (AUCH)

• Univ. de la Frontera (UFRO)

• Univ. de Concepcion (Uconce)

• Univ. de la Serena

• Pontifícia Univ. Católica. (PUC)

• Univ. Federico Santa Maria.

CMM Grid Computing 4

CLGrid: Chilean Grid Initiative• Web site

– http://clgrid.reuna.cl

• 5 Clusters Running– 2 in Antofagasta (UCN)

– 2 in Santiago (CMM)

– 1 in Valdivia (UACH)

• 1 Testbed working using Ninf-G. – easy deploy of code and data.

• 3 new testbed on their way to run soon.– 2 Bioinformatics

– transportation

– 1 Sky exploring (image analysis)

Pragma Grid: CLGrid Partner

CMM @ Pragmahttp://pragma-goc.rocksclusters.org/scmsweb/

CMM @ Pragma

CMM Grid Computing 8

CLGrid: CMM Grid Initiative• Applied research areas

– Network Economics• Energy and telecommunications

– Ensemble Weather forecasting• MM5, WRF, RCA, Match

– Bioinformatics• Blast, unfold, hmmler, interpf

• GAMESS, Gromacs

– Transportation networks• Stochastic network equilibrium

• Discrete event network simulation

CMM Grid Computing 9

CLGrid: Chilean Grid Initiative• Grid Research Areas

– Cluster Operating Systems improvements.

– Grid Filesystem deployment and performance.

– Application deployment.

– Central accounting system.

– Grid Security and Trust.

• Grid Current Users– Bioinformatics

• Protein Threader (CMM), GAMESS (Fac. Quim), Gromacs (Fac. Quim)

– Astronomers (UCN)• Moving Objects in the Sky.

CMM Grid Computing 10

CLGrid: Chilean Grid Initiative• Future Applications

– Network public transportationanalysis

– Ensemble Weather forecasting• Parallel by using Mpich-Gx

• Distributed by using GridRPC.

– Bioinformatic data analysis• Blast Portal

• InterProScan Portal

• Protein Folding

• Base Stacking

CMM Grid Computing 11

CLGrid

1st Workshop CLGrid

2dn Workshop CLGrid

MTE: Practical IssuesMTE: Practical Issues

Code originally written in Matlab Code rewritten in C using Intel MKL Libraries

(VML, BLAS, PARDISO) Tuned for Intel Itanium 2 (but portable to other

architectures) Parallelized using MPI Library

Computation TimeChicago Network (546 destinations, 2176 streets)

0

200

400

600

800

1000

1200

Time (sec)

Pentium4(Matlab)

Itanium2(MKL,ICC)

Cluster I2 (MPI)

Santiago network (2159 destinations, 7587 streets)

The model engine that runs on the cluster feeds on-line a graphical interface to show the simulated parameters of the network. With this interface the Transit managers (or researchers) can analyze the simulated scenario and introduce new changes into the simulation boundary conditions.

Parallel Discrete Event Parallel Discrete Event Simulation:Simulation:

Public Transportation Public Transportation SystemSystem

Optimization and Equilibrium in Optimization and Equilibrium in the Telecommunications Marketthe Telecommunications Market

Keywords

Deregulated market models Mobile and fixed local phone systems Equilibrium/optimization problem and high

performance computing

We have generated new models, calculation algorithms and processes for implementation and validation of efficient business models that allow the setting of rates for the services provided by landline and mobile phone companies.

OptimizationModel

Optimization and Equilibrium in the Optimization and Equilibrium in the Telecommunications MarketTelecommunications Market

GENERAL MODEL – MSC GENERAL MODEL – MSC LOCALIZATIONLOCALIZATION

Number of BTS (Base station Transceiver Station)Number of BSC (Base Station Controller)For each geographic zone

OptimizationModel

Number & location of MSC(Mobile Switching Center)

Regional Problem Separation

Optimization and Equilibrium in the Optimization and Equilibrium in the Telecommunications MarketTelecommunications MarketGENERAL MODEL – FREQUENCY GENERAL MODEL – FREQUENCY

ASSIGNMENTASSIGNMENT

BTS

BTS

BTS

IDEAL CONFIGURATION

There is no Interference

BTS

BTS

REAL CONFIGURATION

Channel InterferenceSeparation by

District & Bands

Santiago Graph

Optimization and Equilibrium in Optimization and Equilibrium in the Energy Marketthe Energy Market

Keywords

Energy Markets Regulation Hydrothermal Coordination Equilibrium/optimization problem and high

performance computing

We have created new models and improved some algorithms for coordinating the use of water reservoirs in hydrothermal energy systems. Especially using Stochastic Programming. We are also working on the problem of Optimal Expansion of Electrical Power Systems.

Optimization and Equilibrium in Optimization and Equilibrium in the Energy Marketthe Energy Market

HYDROTHERMAL COORDINATION HYDROTHERMAL COORDINATION MODELMODEL

The main objective is to establish an appropriated policy of administration and use of the water reservoirs in an electrical power system

Bioinformatics

• GridHybrid– Virtual Microarray

– Massive simulation of DNA-DNA binding

– A several millions of energy minimization problems (5000 variables each one)

– Currently applied to biomining research areas.