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
Paul Ruth. RENCI / UNC Chapel Hill. email@example.com. Motivation. Motivation. Are the current GENI technologies capable of effectively supporting the computing needs of domain science? . Motivation. Are the current GENI technologies capable of effectively supporting the computing needs of domain science? .
July 7, 2011. Larry Landweber. GENI Project Office. John P. . Morgridge. Professor, Emeritus. University of Wisconsin - Madison. The Post-Internet Era. Why?. TCP/IP is broken at gigabit speeds. IP is not the protocol of choice for .
Heidi Picher Dempsey. Internet2 Annual Meeting. April 8. , . 2014 . www.geni.net. . GENI provides a virtual lab for networking and . distributed systems research and education. GENI started with exploratory, rapid prototyping 5 years ago.
GENI . Project . Office. GENI Terminology. slice. project. aggregate. experimenter. resource. Experimenter. An . experimenter. . is . a researcher who uses . GENI resources. Different types of experimenters have different roles and permissions:.
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GENI Science Shakedown
Presentation on theme: "GENI Science Shakedown"— Presentation transcript:
New Spiral 4 AwardEvaluate GENI’s ability to support computational science.
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?
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
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.
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
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.
from domain scientists to inform future GENI development