GENI Science Shakedown - Description

Is GENI ready for Science Personnel Paul Ruth PI pruthrenciorg Anirban Mandal anirbanrenciorg Jeffery L Tilson jtilsonrenciorg Brian Blanton bblantonrenciorg Domain Science Applications ID: 620646 Download Presentation

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GENI Science Shakedown

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Is GENI ready for Science?. Personnel. Paul Ruth (PI) . pruth@renci.org. Anirban. . Mandal. . anirban@renci.org. Jeffery L. . Tilson. . jtilson@renci.org. Brian Blanton . bblanton@renci.org. Domain Science Applications.

Tags : domain geni high science geni domain science high renci applications scientists technologies performance mpi respect throughput future workflow computing
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GENI Science Shakedown






Presentation on theme: "GENI Science Shakedown"— Presentation transcript:

Slide1

GENI Science ShakedownIs GENI ready for Science?

PersonnelPaul Ruth (PI) pruth@renci.orgAnirban Mandal anirban@renci.orgJeffery L. Tilson jtilson@renci.orgBrian Blanton bblanton@renci.org

Domain Science Applications

New Spiral 4 AwardEvaluate GENI’s ability to support computational science.

Storm

surge and tide model

Finite element model

MPI tightly coupledUrgent ComputingApproved by FEMA for computing storm surge flood hazard simulationsUsed for Digital Flood Insurance Rate Maps (DFIRMs)Scales to 10000+ MPI processes

ADCIRC(Brian Blanton, RENCI)

Are the current GENI technologies capable of effectively supporting the computing needs of domain science?

What are the benefits and limitations of current GENI technologies with respect to supporting the needs of domain science?

Questions

The 18th GENI Engineering Conference

October 27-29, 2013

Polytechnic Institute of New York

University, Brooklyn, NY

High Throughput Computational Genomics: Identification of functional domains and the identification of conserved functional relationships across large numbers of genomes.

Workflow ensemble (Pegasus/

HTCondor)Task data sets on the order of 50-100 GB.Implicit iterationScales to 1000s of tasks

MotifNetwork (Jeffery L. Tilson, RENCI)

GENI has matured to the point where it is now time to

evaluate

its capabilities with respect to

domain science applications “at scale” and use the results of this evaluation to inform the direction of future GENI development.There is an opportunity to introduce domain scientists to the GENI-way-of-thinking about networking and distributed systems in order to seed the dissemination of GENI technologies to existing and future high throughput and high-performance computing centers.

Observations

Goals

Apply

the GENI experiment workflow

to domain science applications and evaluate GENI’s ability to run domain science experiments (performance and ease-of-use).Build a tool for domain scientists to create RSpec from high-level descriptions of high-throughput and high-performance applications.Provide feedback to GENI rack developers on the current capabilities with respect to science applications as well as target areas for improvement.Bonus Goal: Attract domain scientists to GENI

Experiments

Outreach to

Domain

S

cience

Provisioning Overhead of creating, destroying, and modifying slices.GENI for big-data. Large workflow inputs/outputGENI for MPI. Tightly coupled

Tool for deploying domain science applications easily.

Introducing domain scientists to GENI.

Feedback

from domain scientists to inform future GENI development