SlideShare a Scribd company logo
1 of 13
Download to read offline
Rob Gardner • University of Chicago
Open Science Grid
Rocky Mountain HPC Symposium
University of Colorado, August 12, 2015
OSG User Support and Campus Grids area coordinator
rwg@uchicago.edu
OSG: distributed high throughput (HTC)
aggregate of individual
clusters > 100k cores
● 2014 stats
○ 67% size of XD, 35% BlueWaters
○ 2.5 Million CPU hours/day
○ 800M hours/year
○ 125M/y provided opportunistic
● >1 petabyte of data/day xfered
● 50+ research groups
● thousands of users
● XD service provider for XSEDE
Rudi Eigenmann
Program Director Division of
Advanced Cyberinfrastructure (ACI)
NSF CISE
CASC Meeting, April 1, 2015
OSG: distributed high throughput (HTC)
OSG for users - HTC profile (vs HPC)
● Does your science workflow involve computations that can be split into many
independent jobs?
● Can individual jobs be run on a single processor (as opposed to a single large-
scale MPI job simultaneously utilizing many processors)?
● Can your applications be interrupted and restarted at a later time or on
another processor or computing site?
● Is your application software “portable”?
● How does computing fit into your science workflow? Are results needed
immediately after submission?
● Do your computations require access to or produce huge amounts of data?
Login Service:
connect users to national ACI
OSG Connect Service
OSG as a
campus cluster
★ Login host
★ Job scheduler
★ Software
★ Storage
Submit jobs to OSG with HTCondor
● Simple HTCondor submission
● Complexity hidden from the user
● No grid (X509) certificates required
● Uses HTCondor ClassAd and glidein
technology
● DAGMan and other workflow tools
Software & tools on the OSG
● Distributed software file system
● Special module command
○ identical software on all clusters
● Common tools & libs
● Curate on demand
continuously
● HTC apps in XSEDE
campus bridging
yum repo
$ switchmodules oasis
$ module avail
$ module load R
$ module load namd
$ module purge
$ switchmodules local
https://goo.gl/A7kNkf
Storage service: “Stash”
● Storage service for job input/output data
● Globus Server for managed transfers between
campus and the OSG
● POSIX access provided to the login host
● 500 TB capacity
● Personalized http endpoint
● Connected to 100 Gbps SciDMZ (I2, ESnet)
campus to OSG stash
Connecting campus to
national ACI
OSG for resource providers
● Connect your campus users to the OSG
○ connect-client - job submit client for the local cluster
○ provide “burst” like capability for HTC jobs to shared
opportunistic resources
● Connect campus cluster to OSG
○ Lightweight connect : OSG sends “glidein” jobs to
your cluster, using a simple user account
■ No local software or services needed!
○ Large scale: deploy the OSG software stack
■ Support more science communities at larger scale
@OsgUsers
support.opensciencegrid.org
user-support@opensciencegrid.org
opensciencegrid

More Related Content

What's hot

[WSO2Con Asia 2018] Architecting for Container-native Environments
[WSO2Con Asia 2018] Architecting for Container-native Environments[WSO2Con Asia 2018] Architecting for Container-native Environments
[WSO2Con Asia 2018] Architecting for Container-native EnvironmentsWSO2
 
Google cloud infrastructure workshop
Google cloud infrastructure workshopGoogle cloud infrastructure workshop
Google cloud infrastructure workshopAkash Agrawal
 
Cloud computing course introduction
Cloud computing course introductionCloud computing course introduction
Cloud computing course introductionHaddy El-Haggan
 
[WSO2Con USA 2018] Microservices, Containers, and Beyond
[WSO2Con USA 2018] Microservices, Containers, and Beyond[WSO2Con USA 2018] Microservices, Containers, and Beyond
[WSO2Con USA 2018] Microservices, Containers, and BeyondWSO2
 
OpenStack MagnetoDB. Atlanta Summit 2014
OpenStack MagnetoDB. Atlanta Summit 2014OpenStack MagnetoDB. Atlanta Summit 2014
OpenStack MagnetoDB. Atlanta Summit 2014Ilya Sviridov
 
Netflix Titus WASP October 2017
Netflix Titus WASP October 2017Netflix Titus WASP October 2017
Netflix Titus WASP October 2017Andrew Leung
 
MicroService architecture_&_Kubernetes
MicroService architecture_&_KubernetesMicroService architecture_&_Kubernetes
MicroService architecture_&_KubernetesAkash Agrawal
 
Apache Cassandra Lunch #52: Airflow and Cassandra for Cluster Management
Apache Cassandra Lunch #52: Airflow and Cassandra for Cluster ManagementApache Cassandra Lunch #52: Airflow and Cassandra for Cluster Management
Apache Cassandra Lunch #52: Airflow and Cassandra for Cluster ManagementAnant Corporation
 
Webinar: Building a multi-cloud Kubernetes storage on GitLab
Webinar: Building a multi-cloud Kubernetes storage on GitLabWebinar: Building a multi-cloud Kubernetes storage on GitLab
Webinar: Building a multi-cloud Kubernetes storage on GitLabMayaData Inc
 
MongoDB IoT City Tour LONDON: Managing the Database Complexity, by Arthur Vie...
MongoDB IoT City Tour LONDON: Managing the Database Complexity, by Arthur Vie...MongoDB IoT City Tour LONDON: Managing the Database Complexity, by Arthur Vie...
MongoDB IoT City Tour LONDON: Managing the Database Complexity, by Arthur Vie...MongoDB
 
Proteon - DevOps Live 2019 - OpenShift Pitfalls
Proteon - DevOps Live 2019 - OpenShift PitfallsProteon - DevOps Live 2019 - OpenShift Pitfalls
Proteon - DevOps Live 2019 - OpenShift Pitfallsproteon-openshift-services
 
[WSO2Con EU 2018] Deploying Applications in K8S and Docker
[WSO2Con EU 2018] Deploying Applications in K8S and Docker[WSO2Con EU 2018] Deploying Applications in K8S and Docker
[WSO2Con EU 2018] Deploying Applications in K8S and DockerWSO2
 
FIWARE Global Summit - DRACO: Managing the Stream of Context Information Hist...
FIWARE Global Summit - DRACO: Managing the Stream of Context Information Hist...FIWARE Global Summit - DRACO: Managing the Stream of Context Information Hist...
FIWARE Global Summit - DRACO: Managing the Stream of Context Information Hist...FIWARE
 
Intro to creating kubernetes operators
Intro to creating kubernetes operators Intro to creating kubernetes operators
Intro to creating kubernetes operators Juraj Hantak
 
BigData in IoT #iotconfua
BigData in IoT #iotconfuaBigData in IoT #iotconfua
BigData in IoT #iotconfuaAndy Shutka
 
Google Kubernetes Engine (GKE) deep dive
Google Kubernetes Engine (GKE) deep diveGoogle Kubernetes Engine (GKE) deep dive
Google Kubernetes Engine (GKE) deep diveAkash Agrawal
 
Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]Kevin Xu
 
Sharing our best secrets: Design a distributed system from scratch
Sharing our best secrets: Design a distributed system from scratchSharing our best secrets: Design a distributed system from scratch
Sharing our best secrets: Design a distributed system from scratchAdelina Simion
 
Netflix Container Scheduling and Execution - QCon New York 2016
Netflix Container Scheduling and Execution - QCon New York 2016Netflix Container Scheduling and Execution - QCon New York 2016
Netflix Container Scheduling and Execution - QCon New York 2016aspyker
 
Initial presentation of openstack (for montreal user group)
Initial presentation of openstack (for montreal user group)Initial presentation of openstack (for montreal user group)
Initial presentation of openstack (for montreal user group)Marcos García
 

What's hot (20)

[WSO2Con Asia 2018] Architecting for Container-native Environments
[WSO2Con Asia 2018] Architecting for Container-native Environments[WSO2Con Asia 2018] Architecting for Container-native Environments
[WSO2Con Asia 2018] Architecting for Container-native Environments
 
Google cloud infrastructure workshop
Google cloud infrastructure workshopGoogle cloud infrastructure workshop
Google cloud infrastructure workshop
 
Cloud computing course introduction
Cloud computing course introductionCloud computing course introduction
Cloud computing course introduction
 
[WSO2Con USA 2018] Microservices, Containers, and Beyond
[WSO2Con USA 2018] Microservices, Containers, and Beyond[WSO2Con USA 2018] Microservices, Containers, and Beyond
[WSO2Con USA 2018] Microservices, Containers, and Beyond
 
OpenStack MagnetoDB. Atlanta Summit 2014
OpenStack MagnetoDB. Atlanta Summit 2014OpenStack MagnetoDB. Atlanta Summit 2014
OpenStack MagnetoDB. Atlanta Summit 2014
 
Netflix Titus WASP October 2017
Netflix Titus WASP October 2017Netflix Titus WASP October 2017
Netflix Titus WASP October 2017
 
MicroService architecture_&_Kubernetes
MicroService architecture_&_KubernetesMicroService architecture_&_Kubernetes
MicroService architecture_&_Kubernetes
 
Apache Cassandra Lunch #52: Airflow and Cassandra for Cluster Management
Apache Cassandra Lunch #52: Airflow and Cassandra for Cluster ManagementApache Cassandra Lunch #52: Airflow and Cassandra for Cluster Management
Apache Cassandra Lunch #52: Airflow and Cassandra for Cluster Management
 
Webinar: Building a multi-cloud Kubernetes storage on GitLab
Webinar: Building a multi-cloud Kubernetes storage on GitLabWebinar: Building a multi-cloud Kubernetes storage on GitLab
Webinar: Building a multi-cloud Kubernetes storage on GitLab
 
MongoDB IoT City Tour LONDON: Managing the Database Complexity, by Arthur Vie...
MongoDB IoT City Tour LONDON: Managing the Database Complexity, by Arthur Vie...MongoDB IoT City Tour LONDON: Managing the Database Complexity, by Arthur Vie...
MongoDB IoT City Tour LONDON: Managing the Database Complexity, by Arthur Vie...
 
Proteon - DevOps Live 2019 - OpenShift Pitfalls
Proteon - DevOps Live 2019 - OpenShift PitfallsProteon - DevOps Live 2019 - OpenShift Pitfalls
Proteon - DevOps Live 2019 - OpenShift Pitfalls
 
[WSO2Con EU 2018] Deploying Applications in K8S and Docker
[WSO2Con EU 2018] Deploying Applications in K8S and Docker[WSO2Con EU 2018] Deploying Applications in K8S and Docker
[WSO2Con EU 2018] Deploying Applications in K8S and Docker
 
FIWARE Global Summit - DRACO: Managing the Stream of Context Information Hist...
FIWARE Global Summit - DRACO: Managing the Stream of Context Information Hist...FIWARE Global Summit - DRACO: Managing the Stream of Context Information Hist...
FIWARE Global Summit - DRACO: Managing the Stream of Context Information Hist...
 
Intro to creating kubernetes operators
Intro to creating kubernetes operators Intro to creating kubernetes operators
Intro to creating kubernetes operators
 
BigData in IoT #iotconfua
BigData in IoT #iotconfuaBigData in IoT #iotconfua
BigData in IoT #iotconfua
 
Google Kubernetes Engine (GKE) deep dive
Google Kubernetes Engine (GKE) deep diveGoogle Kubernetes Engine (GKE) deep dive
Google Kubernetes Engine (GKE) deep dive
 
Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]
 
Sharing our best secrets: Design a distributed system from scratch
Sharing our best secrets: Design a distributed system from scratchSharing our best secrets: Design a distributed system from scratch
Sharing our best secrets: Design a distributed system from scratch
 
Netflix Container Scheduling and Execution - QCon New York 2016
Netflix Container Scheduling and Execution - QCon New York 2016Netflix Container Scheduling and Execution - QCon New York 2016
Netflix Container Scheduling and Execution - QCon New York 2016
 
Initial presentation of openstack (for montreal user group)
Initial presentation of openstack (for montreal user group)Initial presentation of openstack (for montreal user group)
Initial presentation of openstack (for montreal user group)
 

Similar to Open Science Grid

The Open Science Grid
The Open Science GridThe Open Science Grid
The Open Science GridRob Gardner
 
FutureGrid Computing Testbed as a Service
 FutureGrid Computing Testbed as a Service FutureGrid Computing Testbed as a Service
FutureGrid Computing Testbed as a ServiceGeoffrey Fox
 
Public Cloud Workshop
Public Cloud WorkshopPublic Cloud Workshop
Public Cloud WorkshopAmer Ather
 
A performance analysis of OpenStack Cloud vs Real System on Hadoop Clusters
A performance analysis of OpenStack Cloud vs Real System on Hadoop ClustersA performance analysis of OpenStack Cloud vs Real System on Hadoop Clusters
A performance analysis of OpenStack Cloud vs Real System on Hadoop ClustersKumari Surabhi
 
Get Your Head in the Cloud - Lessons in GPU Computing with Schlumberger
Get Your Head in the Cloud - Lessons in GPU Computing with SchlumbergerGet Your Head in the Cloud - Lessons in GPU Computing with Schlumberger
Get Your Head in the Cloud - Lessons in GPU Computing with Schlumbergerinside-BigData.com
 
Migrate to Microservices Judiciously!
Migrate to Microservices Judiciously!Migrate to Microservices Judiciously!
Migrate to Microservices Judiciously!pflueras
 
Easy Microservices with JHipster - Devoxx BE 2017
Easy Microservices with JHipster - Devoxx BE 2017Easy Microservices with JHipster - Devoxx BE 2017
Easy Microservices with JHipster - Devoxx BE 2017Deepu K Sasidharan
 
Devoxx Belgium 2017 - easy microservices with JHipster
Devoxx Belgium 2017 - easy microservices with JHipsterDevoxx Belgium 2017 - easy microservices with JHipster
Devoxx Belgium 2017 - easy microservices with JHipsterJulien Dubois
 
DOC ROI Presentation 2pm NZ3 - Duane Wilkins
DOC ROI Presentation 2pm NZ3 - Duane WilkinsDOC ROI Presentation 2pm NZ3 - Duane Wilkins
DOC ROI Presentation 2pm NZ3 - Duane WilkinsDuane Wilkins
 
Hungarian ClusterGrid and its applications
Hungarian ClusterGrid and its applicationsHungarian ClusterGrid and its applications
Hungarian ClusterGrid and its applicationsFerenc Szalai
 
USENIX LISA15: How TubeMogul Handles over One Trillion HTTP Requests a Month
USENIX LISA15: How TubeMogul Handles over One Trillion HTTP Requests a MonthUSENIX LISA15: How TubeMogul Handles over One Trillion HTTP Requests a Month
USENIX LISA15: How TubeMogul Handles over One Trillion HTTP Requests a MonthNicolas Brousse
 
DDDP 2019 - Brown to Green
DDDP 2019  - Brown to GreenDDDP 2019  - Brown to Green
DDDP 2019 - Brown to GreenJohn Archer
 
Amruth_Kumar_Juturu_Resume
Amruth_Kumar_Juturu_ResumeAmruth_Kumar_Juturu_Resume
Amruth_Kumar_Juturu_ResumeAmruth Kumar
 
Red Hat Java Update and Quarkus Introduction
Red Hat Java Update and Quarkus IntroductionRed Hat Java Update and Quarkus Introduction
Red Hat Java Update and Quarkus IntroductionJohn Archer
 
Lecture_IIITD.pptx
Lecture_IIITD.pptxLecture_IIITD.pptx
Lecture_IIITD.pptxachakracu
 
Ci Connect: A service for building multi-institutional cluster environments
Ci Connect: A service for building multi-institutional cluster environmentsCi Connect: A service for building multi-institutional cluster environments
Ci Connect: A service for building multi-institutional cluster environmentsRob Gardner
 
Hpc lunch and learn
Hpc lunch and learnHpc lunch and learn
Hpc lunch and learnJohn D Almon
 
Globus toolkit in grid
Globus toolkit in gridGlobus toolkit in grid
Globus toolkit in gridDeevena Dayaal
 
Spark Driven Big Data Analytics
Spark Driven Big Data AnalyticsSpark Driven Big Data Analytics
Spark Driven Big Data Analyticsinoshg
 

Similar to Open Science Grid (20)

The Open Science Grid
The Open Science GridThe Open Science Grid
The Open Science Grid
 
FutureGrid Computing Testbed as a Service
 FutureGrid Computing Testbed as a Service FutureGrid Computing Testbed as a Service
FutureGrid Computing Testbed as a Service
 
Public Cloud Workshop
Public Cloud WorkshopPublic Cloud Workshop
Public Cloud Workshop
 
A performance analysis of OpenStack Cloud vs Real System on Hadoop Clusters
A performance analysis of OpenStack Cloud vs Real System on Hadoop ClustersA performance analysis of OpenStack Cloud vs Real System on Hadoop Clusters
A performance analysis of OpenStack Cloud vs Real System on Hadoop Clusters
 
Get Your Head in the Cloud - Lessons in GPU Computing with Schlumberger
Get Your Head in the Cloud - Lessons in GPU Computing with SchlumbergerGet Your Head in the Cloud - Lessons in GPU Computing with Schlumberger
Get Your Head in the Cloud - Lessons in GPU Computing with Schlumberger
 
Migrate to Microservices Judiciously!
Migrate to Microservices Judiciously!Migrate to Microservices Judiciously!
Migrate to Microservices Judiciously!
 
BigData Hadoop
BigData Hadoop BigData Hadoop
BigData Hadoop
 
Easy Microservices with JHipster - Devoxx BE 2017
Easy Microservices with JHipster - Devoxx BE 2017Easy Microservices with JHipster - Devoxx BE 2017
Easy Microservices with JHipster - Devoxx BE 2017
 
Devoxx Belgium 2017 - easy microservices with JHipster
Devoxx Belgium 2017 - easy microservices with JHipsterDevoxx Belgium 2017 - easy microservices with JHipster
Devoxx Belgium 2017 - easy microservices with JHipster
 
DOC ROI Presentation 2pm NZ3 - Duane Wilkins
DOC ROI Presentation 2pm NZ3 - Duane WilkinsDOC ROI Presentation 2pm NZ3 - Duane Wilkins
DOC ROI Presentation 2pm NZ3 - Duane Wilkins
 
Hungarian ClusterGrid and its applications
Hungarian ClusterGrid and its applicationsHungarian ClusterGrid and its applications
Hungarian ClusterGrid and its applications
 
USENIX LISA15: How TubeMogul Handles over One Trillion HTTP Requests a Month
USENIX LISA15: How TubeMogul Handles over One Trillion HTTP Requests a MonthUSENIX LISA15: How TubeMogul Handles over One Trillion HTTP Requests a Month
USENIX LISA15: How TubeMogul Handles over One Trillion HTTP Requests a Month
 
DDDP 2019 - Brown to Green
DDDP 2019  - Brown to GreenDDDP 2019  - Brown to Green
DDDP 2019 - Brown to Green
 
Amruth_Kumar_Juturu_Resume
Amruth_Kumar_Juturu_ResumeAmruth_Kumar_Juturu_Resume
Amruth_Kumar_Juturu_Resume
 
Red Hat Java Update and Quarkus Introduction
Red Hat Java Update and Quarkus IntroductionRed Hat Java Update and Quarkus Introduction
Red Hat Java Update and Quarkus Introduction
 
Lecture_IIITD.pptx
Lecture_IIITD.pptxLecture_IIITD.pptx
Lecture_IIITD.pptx
 
Ci Connect: A service for building multi-institutional cluster environments
Ci Connect: A service for building multi-institutional cluster environmentsCi Connect: A service for building multi-institutional cluster environments
Ci Connect: A service for building multi-institutional cluster environments
 
Hpc lunch and learn
Hpc lunch and learnHpc lunch and learn
Hpc lunch and learn
 
Globus toolkit in grid
Globus toolkit in gridGlobus toolkit in grid
Globus toolkit in grid
 
Spark Driven Big Data Analytics
Spark Driven Big Data AnalyticsSpark Driven Big Data Analytics
Spark Driven Big Data Analytics
 

Recently uploaded

BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.PraveenaKalaiselvan1
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |aasikanpl
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentationtahreemzahra82
 
‏‏VIRUS - 123455555555555555555555555555555555555555
‏‏VIRUS -  123455555555555555555555555555555555555555‏‏VIRUS -  123455555555555555555555555555555555555555
‏‏VIRUS - 123455555555555555555555555555555555555555kikilily0909
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxNandakishor Bhaurao Deshmukh
 
Gas_Laws_powerpoint_notes.ppt for grade 10
Gas_Laws_powerpoint_notes.ppt for grade 10Gas_Laws_powerpoint_notes.ppt for grade 10
Gas_Laws_powerpoint_notes.ppt for grade 10ROLANARIBATO3
 
Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024AyushiRastogi48
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PPRINCE C P
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trssuser06f238
 
Module 4: Mendelian Genetics and Punnett Square
Module 4:  Mendelian Genetics and Punnett SquareModule 4:  Mendelian Genetics and Punnett Square
Module 4: Mendelian Genetics and Punnett SquareIsiahStephanRadaza
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfSwapnil Therkar
 
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxTwin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxEran Akiva Sinbar
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)DHURKADEVIBASKAR
 
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |aasikanpl
 
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxMicrophone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxpriyankatabhane
 

Recently uploaded (20)

BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentation
 
‏‏VIRUS - 123455555555555555555555555555555555555555
‏‏VIRUS -  123455555555555555555555555555555555555555‏‏VIRUS -  123455555555555555555555555555555555555555
‏‏VIRUS - 123455555555555555555555555555555555555555
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
 
Gas_Laws_powerpoint_notes.ppt for grade 10
Gas_Laws_powerpoint_notes.ppt for grade 10Gas_Laws_powerpoint_notes.ppt for grade 10
Gas_Laws_powerpoint_notes.ppt for grade 10
 
Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024
 
Volatile Oils Pharmacognosy And Phytochemistry -I
Volatile Oils Pharmacognosy And Phytochemistry -IVolatile Oils Pharmacognosy And Phytochemistry -I
Volatile Oils Pharmacognosy And Phytochemistry -I
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C P
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 tr
 
Module 4: Mendelian Genetics and Punnett Square
Module 4:  Mendelian Genetics and Punnett SquareModule 4:  Mendelian Genetics and Punnett Square
Module 4: Mendelian Genetics and Punnett Square
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
 
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxTwin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)
 
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
 
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxMicrophone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
 

Open Science Grid

  • 1. Rob Gardner • University of Chicago Open Science Grid Rocky Mountain HPC Symposium University of Colorado, August 12, 2015 OSG User Support and Campus Grids area coordinator rwg@uchicago.edu
  • 2. OSG: distributed high throughput (HTC) aggregate of individual clusters > 100k cores
  • 3. ● 2014 stats ○ 67% size of XD, 35% BlueWaters ○ 2.5 Million CPU hours/day ○ 800M hours/year ○ 125M/y provided opportunistic ● >1 petabyte of data/day xfered ● 50+ research groups ● thousands of users ● XD service provider for XSEDE Rudi Eigenmann Program Director Division of Advanced Cyberinfrastructure (ACI) NSF CISE CASC Meeting, April 1, 2015 OSG: distributed high throughput (HTC)
  • 4. OSG for users - HTC profile (vs HPC) ● Does your science workflow involve computations that can be split into many independent jobs? ● Can individual jobs be run on a single processor (as opposed to a single large- scale MPI job simultaneously utilizing many processors)? ● Can your applications be interrupted and restarted at a later time or on another processor or computing site? ● Is your application software “portable”? ● How does computing fit into your science workflow? Are results needed immediately after submission? ● Do your computations require access to or produce huge amounts of data?
  • 6. OSG Connect Service OSG as a campus cluster ★ Login host ★ Job scheduler ★ Software ★ Storage
  • 7. Submit jobs to OSG with HTCondor ● Simple HTCondor submission ● Complexity hidden from the user ● No grid (X509) certificates required ● Uses HTCondor ClassAd and glidein technology ● DAGMan and other workflow tools
  • 8. Software & tools on the OSG ● Distributed software file system ● Special module command ○ identical software on all clusters ● Common tools & libs ● Curate on demand continuously ● HTC apps in XSEDE campus bridging yum repo $ switchmodules oasis $ module avail $ module load R $ module load namd $ module purge $ switchmodules local https://goo.gl/A7kNkf
  • 9. Storage service: “Stash” ● Storage service for job input/output data ● Globus Server for managed transfers between campus and the OSG ● POSIX access provided to the login host ● 500 TB capacity ● Personalized http endpoint ● Connected to 100 Gbps SciDMZ (I2, ESnet)
  • 10. campus to OSG stash
  • 12. OSG for resource providers ● Connect your campus users to the OSG ○ connect-client - job submit client for the local cluster ○ provide “burst” like capability for HTC jobs to shared opportunistic resources ● Connect campus cluster to OSG ○ Lightweight connect : OSG sends “glidein” jobs to your cluster, using a simple user account ■ No local software or services needed! ○ Large scale: deploy the OSG software stack ■ Support more science communities at larger scale