SlideShare a Scribd company logo
1 of 2
Download to read offline
1.888.PANASAS | www.panasas.com
Sidenote: xxxxxxxxxxxxxxxxxx
Project Background
RAL’s climate research team was recently
funded by the UK’s Department of Business,
Innovation and Skills with a £145 million
e-infrastructure grant, allowing it to invest
in nearly eight petabytes (PB) of high per-
formance storage in order to expand its
highly data intensive climate modelling ef-
forts. The team, led by Dr. Bryan Lawrence,
Professor of Weather and Climate Comput-
ing at the University of Reading, and Di-
rector of Models and Data at the National
Centre for Atmospheric Science (NCAS),
knew it needed to supplant its legacy,
direct attach storage with high perfor-
mance networked storage. A parallel file
system would be important if it was to
obtain the scalability and affordable per-
formance required for its rapidly expanding
climate modelling workloads. It enlisted
the help of Dr. Peter Oliver at the Scientific
Computing Technology Group (e-Science
Centre) within RAL to advise them on the
various HPC storage technologies available.
Technology and Business Challenges
Dr. Oliver recommended a high perfor-
mance parallel file system in order to cope
with massive datasets that would choke
the team’s legacy systems. His aim was to
find a low cost per terabyte solution that
offered extreme scalability and ease of inte-
gration and management. RAL researchers
knew that despite the immense size of the
initial storage deployment, the anticipated
data growth would mean that the new
storage system would need to easily scale-
out to meet growing capacity and perfor-
mance demands.
A principal business challenge was the
narrow deployment window. The project’s
funding stipulated that all equipment must
arrive within two months of the placed or-
der, and the entire storage capacity needed
to be online and fully operational by the
end of the third month.
The team evaluated Panasas ActiveStor 11
as well as competing hardware systems
running GPFS and Lustre. After a thorough
analysis, they chose Panasas because it
offered a fully integrated solution that
CUSTOMER
Rutherford Appleton Laboratory
INDUSTRY
Academic Research
Challenge
RAL needed to quickly replace its legacy
direct attach storage with HPC storage
and a parallel file system to support rapidly
expanding climate modelling workloads.
It required a low cost per terabyte solution
that offered extreme scalability, easy inte-
gration, and simple management.
Solution
Panasas ActiveStor NAS appliances with the
fully integrated PanFS®
parallel file system.
Result
RAL’s massive ActiveStor integration, totaling
more than eight petabytes, is one of the
largest HPC storage deployments in Great
Britain, comprising facilities distributed across
four sites. ActiveStor delivered unmatched
parallel file system performance in addition
to the scalability, manageability, reliability,
and value required for RAL’s data intensive
climate modelling.
SUMMARY
INDUSTRY:AcademicresearchSUCCESSSTORY:RutherfordAppletonLaboratory
RAL Uses Panasas®
ActiveStor®
to Accelerate Global Climate Research
Rutherford Appleton Laboratory (RAL) is one of the UK’s principal government labs and
part of the Science and Technology Facilities Council (STFC) which works to keep the
UK at the forefront of international science. RAL supports research in such varied areas
as astronomy, astrophysics, biology, climate modelling, computational science, energy,
medicine, nuclear science, particle physics, and space science. The council has a broad
scientific applications portfolio and shares its diverse scientific computing expertise with
the world’s academic and industrial manufacturing communities. Roughly 10,000 scientists
and engineers use the laboratory’s high performance computing (HPC) facilities every year
to conduct ground breaking research in these and other big data-focused disciplines.
Rutherford Appleton Laboratory
INDUSTRY:AcademicResearch
© 2013 Panasas, Inc. All rights reserved. Panasas, the Panasas logo, ActiveStor, PanFS and DirectFlow are trademarks or registered trademarks of Panasas, Inc., in the U.S.
and/or other countries. All other trademarks, registered trademarks, trade names, company names and service marks are the respective properties of their holders.
Panasas ActiveStor
Panasas ActiveStor is the world’s fastest parallel storage system,
linearly scaling capacity and performance to 150GB/s, the industry’s
highest single file system throughput per terabyte of enterprise SATA
storage. All ActiveStor appliances eliminate the bottlenecks found
in traditional NAS systems, accelerating application I/O performance
by enabling HPC cluster nodes to access a single, scalable file system
directly and in parallel. RAL can simply add individual blade chassis
or entire racks to non-disruptively scale capacity and performance
as its storage requirements grow.
ActiveStor provides a single point of management for a single,
scalable file system, allowing researchers at Rutherford Appleton
Laboratory to focus on using their data to fuel discovery instead
of having to worry about overcoming IT challenges. Capacity
and performance planning, mount point management, and data
load balancing across multiple pools of storage are all common
administration problems that are easily solved with Panasas storage.
outshined the alternatives in cost, ease of
deployment, ease of management, and
its seamless linear scalability. The fact that
ActiveStor delivered twice the required
performance was an added bonus.
A Massive Deployment
In total, RAL’s ActiveStor installation
represent one of the largest HPC storage
deployments in Great Britain. The massive
ActiveStor deployment comprised facilities
distributed across four sites, introducing a
new shared-resource approach to research
for the participating organizations. Almost
8.5PB of ActiveStor storage was deployed
across three NCAS research sites: 6.6PB at
RAL, 720 terabytes (TB) at the University of
Reading, 180TB at the University of Leeds,
and 900TB at a fourth site, the Internation-
al Space and Innovation Centre (ISIC).
“The Panasas parallel file system
remains resilient even at scale,
and the direct and parallel
access to the storage pool means
that we can work on our most
complex simulations, unaffected
by the system bottlenecks of our
previous equipment. The Panasas
solution gives us powerful HPC
capabilities to help leverage our
massive datasets to advance
essential scientific discovery.”
Dr. Bryan Lawrence,
University of Reading & NCAS
Summary
Rutherford Appleton Laboratory chose
Panasas for one of the largest storage
deployments in Great Britain. ActiveStor’s
fully integrated parallel file system, easy
scalability, simplified management, and
affordable performance were all consider-
ations that made the difference. It eliminat-
ed the performance bottlenecks, tedious
storage support efforts, and administration
headaches of RAL’s legacy systems so that
researchers could concentrate on their
important work instead of worrying about
their IT infrastructure.
SUCCESSSTORY:RutherfordAppletonLaboratory
Panasas ActiveStor deployment at RAL
042320131085

More Related Content

What's hot

040419 san forum
040419 san forum040419 san forum
040419 san forumThiru Raja
 
3 archiver omc deployment_scenarios
3 archiver omc deployment_scenarios3 archiver omc deployment_scenarios
3 archiver omc deployment_scenariosArchiver
 
Helix Nebula the Science Cloud: Pre-Commercial Procurement pilot
Helix Nebula the Science Cloud: Pre-Commercial Procurement pilotHelix Nebula the Science Cloud: Pre-Commercial Procurement pilot
Helix Nebula the Science Cloud: Pre-Commercial Procurement pilotHelix Nebula The Science Cloud
 
TERN Facility Portals - Stuart Phinn
TERN Facility Portals - Stuart PhinnTERN Facility Portals - Stuart Phinn
TERN Facility Portals - Stuart PhinnTERN Australia
 
Enabling efficient movement of data into & out of a high-performance analysis...
Enabling efficient movement of data into & out of a high-performance analysis...Enabling efficient movement of data into & out of a high-performance analysis...
Enabling efficient movement of data into & out of a high-performance analysis...Jisc
 
A First Attempt at Describing, Disseminating and Reusing Methodological Knowl...
A First Attempt at Describing, Disseminating and Reusing Methodological Knowl...A First Attempt at Describing, Disseminating and Reusing Methodological Knowl...
A First Attempt at Describing, Disseminating and Reusing Methodological Knowl...ariadnenetwork
 
HPC I/O for Computational Scientists
HPC I/O for Computational ScientistsHPC I/O for Computational Scientists
HPC I/O for Computational Scientistsinside-BigData.com
 
A Survey on Different File Handling Mechanisms in HDFS
A Survey on Different File Handling Mechanisms in HDFSA Survey on Different File Handling Mechanisms in HDFS
A Survey on Different File Handling Mechanisms in HDFSIRJET Journal
 
Science DMZ
Science DMZScience DMZ
Science DMZJisc
 
Company Presentation - ClusterVision
Company Presentation - ClusterVisionCompany Presentation - ClusterVision
Company Presentation - ClusterVisionRemy L. Overkempe
 
Survey on Performance of Hadoop Map reduce Optimization Methods
Survey on Performance of Hadoop Map reduce Optimization MethodsSurvey on Performance of Hadoop Map reduce Optimization Methods
Survey on Performance of Hadoop Map reduce Optimization Methodspaperpublications3
 
Geospatial Sensor Networks and Partitioning Data
Geospatial Sensor Networks and Partitioning DataGeospatial Sensor Networks and Partitioning Data
Geospatial Sensor Networks and Partitioning DataAlexMiowski
 
Building a geospatial processing pipeline using Hadoop and HBase and how Mons...
Building a geospatial processing pipeline using Hadoop and HBase and how Mons...Building a geospatial processing pipeline using Hadoop and HBase and how Mons...
Building a geospatial processing pipeline using Hadoop and HBase and how Mons...DataWorks Summit
 
Archiving data from Durham to RAL using the File Transfer Service (FTS)
Archiving data from Durham to RAL using the File Transfer Service (FTS)Archiving data from Durham to RAL using the File Transfer Service (FTS)
Archiving data from Durham to RAL using the File Transfer Service (FTS)Jisc
 

What's hot (20)

040419 san forum
040419 san forum040419 san forum
040419 san forum
 
3 archiver omc deployment_scenarios
3 archiver omc deployment_scenarios3 archiver omc deployment_scenarios
3 archiver omc deployment_scenarios
 
GES DISC Eexperiences with HDF Formats for MEaSUREs Projects
GES DISC Eexperiences with HDF Formats for MEaSUREs ProjectsGES DISC Eexperiences with HDF Formats for MEaSUREs Projects
GES DISC Eexperiences with HDF Formats for MEaSUREs Projects
 
Helix Nebula the Science Cloud: Pre-Commercial Procurement pilot
Helix Nebula the Science Cloud: Pre-Commercial Procurement pilotHelix Nebula the Science Cloud: Pre-Commercial Procurement pilot
Helix Nebula the Science Cloud: Pre-Commercial Procurement pilot
 
TERN Facility Portals - Stuart Phinn
TERN Facility Portals - Stuart PhinnTERN Facility Portals - Stuart Phinn
TERN Facility Portals - Stuart Phinn
 
Earth Science Data and Information System (ESDIS) Project Update
Earth Science Data and Information System (ESDIS) Project UpdateEarth Science Data and Information System (ESDIS) Project Update
Earth Science Data and Information System (ESDIS) Project Update
 
Enabling efficient movement of data into & out of a high-performance analysis...
Enabling efficient movement of data into & out of a high-performance analysis...Enabling efficient movement of data into & out of a high-performance analysis...
Enabling efficient movement of data into & out of a high-performance analysis...
 
Incorporating ISO Metadata Using HDF Product Designer
Incorporating ISO Metadata Using HDF Product DesignerIncorporating ISO Metadata Using HDF Product Designer
Incorporating ISO Metadata Using HDF Product Designer
 
The Earth System Modeling Framework
The Earth System Modeling FrameworkThe Earth System Modeling Framework
The Earth System Modeling Framework
 
A First Attempt at Describing, Disseminating and Reusing Methodological Knowl...
A First Attempt at Describing, Disseminating and Reusing Methodological Knowl...A First Attempt at Describing, Disseminating and Reusing Methodological Knowl...
A First Attempt at Describing, Disseminating and Reusing Methodological Knowl...
 
HPC I/O for Computational Scientists
HPC I/O for Computational ScientistsHPC I/O for Computational Scientists
HPC I/O for Computational Scientists
 
A Survey on Different File Handling Mechanisms in HDFS
A Survey on Different File Handling Mechanisms in HDFSA Survey on Different File Handling Mechanisms in HDFS
A Survey on Different File Handling Mechanisms in HDFS
 
Ess1000 glossary
Ess1000 glossaryEss1000 glossary
Ess1000 glossary
 
Science DMZ
Science DMZScience DMZ
Science DMZ
 
Company Presentation - ClusterVision
Company Presentation - ClusterVisionCompany Presentation - ClusterVision
Company Presentation - ClusterVision
 
Survey on Performance of Hadoop Map reduce Optimization Methods
Survey on Performance of Hadoop Map reduce Optimization MethodsSurvey on Performance of Hadoop Map reduce Optimization Methods
Survey on Performance of Hadoop Map reduce Optimization Methods
 
Geospatial Sensor Networks and Partitioning Data
Geospatial Sensor Networks and Partitioning DataGeospatial Sensor Networks and Partitioning Data
Geospatial Sensor Networks and Partitioning Data
 
Building a geospatial processing pipeline using Hadoop and HBase and how Mons...
Building a geospatial processing pipeline using Hadoop and HBase and how Mons...Building a geospatial processing pipeline using Hadoop and HBase and how Mons...
Building a geospatial processing pipeline using Hadoop and HBase and how Mons...
 
Archiving data from Durham to RAL using the File Transfer Service (FTS)
Archiving data from Durham to RAL using the File Transfer Service (FTS)Archiving data from Durham to RAL using the File Transfer Service (FTS)
Archiving data from Durham to RAL using the File Transfer Service (FTS)
 
Geospatial Data Abstraction Library (GDAL) Enhancement for ESDIS (GEE)
Geospatial Data Abstraction Library (GDAL) Enhancement for ESDIS (GEE)Geospatial Data Abstraction Library (GDAL) Enhancement for ESDIS (GEE)
Geospatial Data Abstraction Library (GDAL) Enhancement for ESDIS (GEE)
 

Viewers also liked

Unit 1, Lesson 1.5 - Laboratory Tools
Unit 1, Lesson 1.5 - Laboratory ToolsUnit 1, Lesson 1.5 - Laboratory Tools
Unit 1, Lesson 1.5 - Laboratory Toolsjudan1970
 
Lab equipments and their Uses
Lab equipments and their UsesLab equipments and their Uses
Lab equipments and their UsesAwelle
 
Class 1 Drama For Teaching Purposes Tn
Class 1   Drama For Teaching Purposes TnClass 1   Drama For Teaching Purposes Tn
Class 1 Drama For Teaching Purposes TnJorge Comte
 
Teaching Method - Laboratory Method
Teaching Method - Laboratory Method Teaching Method - Laboratory Method
Teaching Method - Laboratory Method Leni Jane Villanueva
 
Science laboratory equipment
Science laboratory equipmentScience laboratory equipment
Science laboratory equipmentLauriz Aclan
 
Laboratory Equipment - Use of Equipment
Laboratory Equipment - Use of EquipmentLaboratory Equipment - Use of Equipment
Laboratory Equipment - Use of Equipmentcjhiggs
 
Lab equipment
Lab equipmentLab equipment
Lab equipmentOhMiss
 
Laboratory apparatus
Laboratory apparatusLaboratory apparatus
Laboratory apparatusAlyssa Vicera
 
1.4 Laboratory Equipment: Names & Uses
1.4 Laboratory Equipment:  Names & Uses1.4 Laboratory Equipment:  Names & Uses
1.4 Laboratory Equipment: Names & UsesCheryl Bausman
 

Viewers also liked (12)

Unit 1, Lesson 1.5 - Laboratory Tools
Unit 1, Lesson 1.5 - Laboratory ToolsUnit 1, Lesson 1.5 - Laboratory Tools
Unit 1, Lesson 1.5 - Laboratory Tools
 
Lab equipments and their Uses
Lab equipments and their UsesLab equipments and their Uses
Lab equipments and their Uses
 
Class 1 Drama For Teaching Purposes Tn
Class 1   Drama For Teaching Purposes TnClass 1   Drama For Teaching Purposes Tn
Class 1 Drama For Teaching Purposes Tn
 
Teaching Method - Laboratory Method
Teaching Method - Laboratory Method Teaching Method - Laboratory Method
Teaching Method - Laboratory Method
 
Lab tools
Lab toolsLab tools
Lab tools
 
Science laboratory equipment
Science laboratory equipmentScience laboratory equipment
Science laboratory equipment
 
Laboratory Equipment - Use of Equipment
Laboratory Equipment - Use of EquipmentLaboratory Equipment - Use of Equipment
Laboratory Equipment - Use of Equipment
 
Lab apparatus
Lab apparatusLab apparatus
Lab apparatus
 
Lab equipment
Lab equipmentLab equipment
Lab equipment
 
Laboratory tools and equipment
Laboratory tools and equipmentLaboratory tools and equipment
Laboratory tools and equipment
 
Laboratory apparatus
Laboratory apparatusLaboratory apparatus
Laboratory apparatus
 
1.4 Laboratory Equipment: Names & Uses
1.4 Laboratory Equipment:  Names & Uses1.4 Laboratory Equipment:  Names & Uses
1.4 Laboratory Equipment: Names & Uses
 

Similar to Rutherford Appleton Laboratory uses Panasas ActiveStor to accelerate global climate research

Panasas ® University of Oxford
Panasas ®  University of OxfordPanasas ®  University of Oxford
Panasas ® University of OxfordPanasas
 
Panasas ® California Institute of Technology Success Story
Panasas ® California Institute of Technology Success StoryPanasas ® California Institute of Technology Success Story
Panasas ® California Institute of Technology Success StoryPanasas
 
Panasas ® UCLA Customer Success Story
Panasas ®  UCLA Customer Success StoryPanasas ®  UCLA Customer Success Story
Panasas ® UCLA Customer Success StoryPanasas
 
Panasas® Utah State Univercity
Panasas®  Utah State UnivercityPanasas®  Utah State Univercity
Panasas® Utah State UnivercityPanasas
 
Panasas ® Los Alamos National Laboratory
Panasas ® Los Alamos National LaboratoryPanasas ® Los Alamos National Laboratory
Panasas ® Los Alamos National LaboratoryPanasas
 
Accelerate Discovery
Accelerate DiscoveryAccelerate Discovery
Accelerate DiscoveryPanasas
 
The Andrej Sali Lab Processes Millions of Small Files with Panasas
The Andrej Sali Lab Processes Millions of Small Files with PanasasThe Andrej Sali Lab Processes Millions of Small Files with Panasas
The Andrej Sali Lab Processes Millions of Small Files with PanasasPanasas
 
Accelerating Design in Manufacturing Environments
Accelerating Design in Manufacturing EnvironmentsAccelerating Design in Manufacturing Environments
Accelerating Design in Manufacturing EnvironmentsPanasas
 
UCSC's Biomolecular Department Eliminates I/O Bottleneck with Panasas
UCSC's Biomolecular Department Eliminates I/O Bottleneck with PanasasUCSC's Biomolecular Department Eliminates I/O Bottleneck with Panasas
UCSC's Biomolecular Department Eliminates I/O Bottleneck with PanasasPanasas
 
Accelerate Financial Simulation & Analytics
Accelerate Financial Simulation & AnalyticsAccelerate Financial Simulation & Analytics
Accelerate Financial Simulation & AnalyticsPanasas
 
Hardware- and Network-Enhanced Software Systems for Cloud Computing, OW2 Open...
Hardware- and Network-Enhanced Software Systems for Cloud Computing, OW2 Open...Hardware- and Network-Enhanced Software Systems for Cloud Computing, OW2 Open...
Hardware- and Network-Enhanced Software Systems for Cloud Computing, OW2 Open...Ocean Project
 
Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiB...
Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiB...Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiB...
Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiB...inside-BigData.com
 
Panasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC Workloads
Panasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC WorkloadsPanasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC Workloads
Panasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC WorkloadsPanasas
 
Panasas® activestor® and ansys
Panasas® activestor® and ansysPanasas® activestor® and ansys
Panasas® activestor® and ansysPanasas
 
2023comp90024_Spartan.pdf
2023comp90024_Spartan.pdf2023comp90024_Spartan.pdf
2023comp90024_Spartan.pdfLevLafayette1
 
HPC Storage and IO Trends and Workflows
HPC Storage and IO Trends and WorkflowsHPC Storage and IO Trends and Workflows
HPC Storage and IO Trends and Workflowsinside-BigData.com
 
Time to Science/Time to Results: Transforming Research in the Cloud
Time to Science/Time to Results: Transforming Research in the CloudTime to Science/Time to Results: Transforming Research in the Cloud
Time to Science/Time to Results: Transforming Research in the CloudAmazon Web Services
 
Red Hat Ceph Storage: Past, Present and Future
Red Hat Ceph Storage: Past, Present and FutureRed Hat Ceph Storage: Past, Present and Future
Red Hat Ceph Storage: Past, Present and FutureRed_Hat_Storage
 

Similar to Rutherford Appleton Laboratory uses Panasas ActiveStor to accelerate global climate research (20)

Panasas ® University of Oxford
Panasas ®  University of OxfordPanasas ®  University of Oxford
Panasas ® University of Oxford
 
Panasas ® California Institute of Technology Success Story
Panasas ® California Institute of Technology Success StoryPanasas ® California Institute of Technology Success Story
Panasas ® California Institute of Technology Success Story
 
Panasas ® UCLA Customer Success Story
Panasas ®  UCLA Customer Success StoryPanasas ®  UCLA Customer Success Story
Panasas ® UCLA Customer Success Story
 
Panasas® Utah State Univercity
Panasas®  Utah State UnivercityPanasas®  Utah State Univercity
Panasas® Utah State Univercity
 
Panasas ® Los Alamos National Laboratory
Panasas ® Los Alamos National LaboratoryPanasas ® Los Alamos National Laboratory
Panasas ® Los Alamos National Laboratory
 
Accelerate Discovery
Accelerate DiscoveryAccelerate Discovery
Accelerate Discovery
 
The Andrej Sali Lab Processes Millions of Small Files with Panasas
The Andrej Sali Lab Processes Millions of Small Files with PanasasThe Andrej Sali Lab Processes Millions of Small Files with Panasas
The Andrej Sali Lab Processes Millions of Small Files with Panasas
 
Accelerating Design in Manufacturing Environments
Accelerating Design in Manufacturing EnvironmentsAccelerating Design in Manufacturing Environments
Accelerating Design in Manufacturing Environments
 
UCSC's Biomolecular Department Eliminates I/O Bottleneck with Panasas
UCSC's Biomolecular Department Eliminates I/O Bottleneck with PanasasUCSC's Biomolecular Department Eliminates I/O Bottleneck with Panasas
UCSC's Biomolecular Department Eliminates I/O Bottleneck with Panasas
 
Accelerate Financial Simulation & Analytics
Accelerate Financial Simulation & AnalyticsAccelerate Financial Simulation & Analytics
Accelerate Financial Simulation & Analytics
 
Rackspace Case Study
Rackspace Case StudyRackspace Case Study
Rackspace Case Study
 
Hardware- and Network-Enhanced Software Systems for Cloud Computing, OW2 Open...
Hardware- and Network-Enhanced Software Systems for Cloud Computing, OW2 Open...Hardware- and Network-Enhanced Software Systems for Cloud Computing, OW2 Open...
Hardware- and Network-Enhanced Software Systems for Cloud Computing, OW2 Open...
 
Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiB...
Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiB...Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiB...
Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiB...
 
Panasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC Workloads
Panasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC WorkloadsPanasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC Workloads
Panasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC Workloads
 
Panasas® activestor® and ansys
Panasas® activestor® and ansysPanasas® activestor® and ansys
Panasas® activestor® and ansys
 
2023comp90024_Spartan.pdf
2023comp90024_Spartan.pdf2023comp90024_Spartan.pdf
2023comp90024_Spartan.pdf
 
HPC Storage and IO Trends and Workflows
HPC Storage and IO Trends and WorkflowsHPC Storage and IO Trends and Workflows
HPC Storage and IO Trends and Workflows
 
Hadoop
HadoopHadoop
Hadoop
 
Time to Science/Time to Results: Transforming Research in the Cloud
Time to Science/Time to Results: Transforming Research in the CloudTime to Science/Time to Results: Transforming Research in the Cloud
Time to Science/Time to Results: Transforming Research in the Cloud
 
Red Hat Ceph Storage: Past, Present and Future
Red Hat Ceph Storage: Past, Present and FutureRed Hat Ceph Storage: Past, Present and Future
Red Hat Ceph Storage: Past, Present and Future
 

More from Panasas

Is Your Storage Ready for Commercial HPC? - Three Steps to Take
Is Your Storage Ready for Commercial HPC? - Three Steps to TakeIs Your Storage Ready for Commercial HPC? - Three Steps to Take
Is Your Storage Ready for Commercial HPC? - Three Steps to TakePanasas
 
PanasasActiveStor
PanasasActiveStorPanasasActiveStor
PanasasActiveStorPanasas
 
Panasas ActiveStor Reliability that Improves with Scale
Panasas ActiveStor Reliability that Improves with ScalePanasas ActiveStor Reliability that Improves with Scale
Panasas ActiveStor Reliability that Improves with ScalePanasas
 
Evolution of RAID
Evolution of RAIDEvolution of RAID
Evolution of RAIDPanasas
 
ActiveStor Performance at Scale
ActiveStor Performance at ScaleActiveStor Performance at Scale
ActiveStor Performance at ScalePanasas
 
PANASAS® ACTIVESTOR® AND STAR-CCM+
PANASAS® ACTIVESTOR® AND STAR-CCM+PANASAS® ACTIVESTOR® AND STAR-CCM+
PANASAS® ACTIVESTOR® AND STAR-CCM+Panasas
 
Panasas ® Deluxe Australlia
Panasas ® Deluxe Australlia Panasas ® Deluxe Australlia
Panasas ® Deluxe Australlia Panasas
 
Panasas ® Terraspark Geosciences Customer Success Story
Panasas ®  Terraspark Geosciences Customer Success StoryPanasas ®  Terraspark Geosciences Customer Success Story
Panasas ® Terraspark Geosciences Customer Success StoryPanasas
 
Panasas® ActiveStor ® 16
Panasas® ActiveStor ® 16Panasas® ActiveStor ® 16
Panasas® ActiveStor ® 16Panasas
 
Genomics Center Compares 100s of Computations Simultaneously with Panasas
Genomics Center Compares 100s of Computations Simultaneously with PanasasGenomics Center Compares 100s of Computations Simultaneously with Panasas
Genomics Center Compares 100s of Computations Simultaneously with PanasasPanasas
 
Panasas Storage Smooths Turbulence for ICME at Stanford University
Panasas Storage Smooths Turbulence for ICME at Stanford UniversityPanasas Storage Smooths Turbulence for ICME at Stanford University
Panasas Storage Smooths Turbulence for ICME at Stanford UniversityPanasas
 
Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.
Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.
Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.Panasas
 
National Institutes of Health Maximize Computing Resources with Panasas
National Institutes of Health Maximize Computing Resources with PanasasNational Institutes of Health Maximize Computing Resources with Panasas
National Institutes of Health Maximize Computing Resources with PanasasPanasas
 
MicroSeismic Sees Tenfold Performance Increase with Panasas
MicroSeismic Sees Tenfold Performance Increase with PanasasMicroSeismic Sees Tenfold Performance Increase with Panasas
MicroSeismic Sees Tenfold Performance Increase with PanasasPanasas
 
Gaasterland Laboratory Simplifies Genomics Research with Panasas
Gaasterland Laboratory Simplifies Genomics Research with PanasasGaasterland Laboratory Simplifies Genomics Research with Panasas
Gaasterland Laboratory Simplifies Genomics Research with PanasasPanasas
 

More from Panasas (15)

Is Your Storage Ready for Commercial HPC? - Three Steps to Take
Is Your Storage Ready for Commercial HPC? - Three Steps to TakeIs Your Storage Ready for Commercial HPC? - Three Steps to Take
Is Your Storage Ready for Commercial HPC? - Three Steps to Take
 
PanasasActiveStor
PanasasActiveStorPanasasActiveStor
PanasasActiveStor
 
Panasas ActiveStor Reliability that Improves with Scale
Panasas ActiveStor Reliability that Improves with ScalePanasas ActiveStor Reliability that Improves with Scale
Panasas ActiveStor Reliability that Improves with Scale
 
Evolution of RAID
Evolution of RAIDEvolution of RAID
Evolution of RAID
 
ActiveStor Performance at Scale
ActiveStor Performance at ScaleActiveStor Performance at Scale
ActiveStor Performance at Scale
 
PANASAS® ACTIVESTOR® AND STAR-CCM+
PANASAS® ACTIVESTOR® AND STAR-CCM+PANASAS® ACTIVESTOR® AND STAR-CCM+
PANASAS® ACTIVESTOR® AND STAR-CCM+
 
Panasas ® Deluxe Australlia
Panasas ® Deluxe Australlia Panasas ® Deluxe Australlia
Panasas ® Deluxe Australlia
 
Panasas ® Terraspark Geosciences Customer Success Story
Panasas ®  Terraspark Geosciences Customer Success StoryPanasas ®  Terraspark Geosciences Customer Success Story
Panasas ® Terraspark Geosciences Customer Success Story
 
Panasas® ActiveStor ® 16
Panasas® ActiveStor ® 16Panasas® ActiveStor ® 16
Panasas® ActiveStor ® 16
 
Genomics Center Compares 100s of Computations Simultaneously with Panasas
Genomics Center Compares 100s of Computations Simultaneously with PanasasGenomics Center Compares 100s of Computations Simultaneously with Panasas
Genomics Center Compares 100s of Computations Simultaneously with Panasas
 
Panasas Storage Smooths Turbulence for ICME at Stanford University
Panasas Storage Smooths Turbulence for ICME at Stanford UniversityPanasas Storage Smooths Turbulence for ICME at Stanford University
Panasas Storage Smooths Turbulence for ICME at Stanford University
 
Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.
Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.
Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.
 
National Institutes of Health Maximize Computing Resources with Panasas
National Institutes of Health Maximize Computing Resources with PanasasNational Institutes of Health Maximize Computing Resources with Panasas
National Institutes of Health Maximize Computing Resources with Panasas
 
MicroSeismic Sees Tenfold Performance Increase with Panasas
MicroSeismic Sees Tenfold Performance Increase with PanasasMicroSeismic Sees Tenfold Performance Increase with Panasas
MicroSeismic Sees Tenfold Performance Increase with Panasas
 
Gaasterland Laboratory Simplifies Genomics Research with Panasas
Gaasterland Laboratory Simplifies Genomics Research with PanasasGaasterland Laboratory Simplifies Genomics Research with Panasas
Gaasterland Laboratory Simplifies Genomics Research with Panasas
 

Recently uploaded

Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 

Recently uploaded (20)

Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 

Rutherford Appleton Laboratory uses Panasas ActiveStor to accelerate global climate research

  • 1. 1.888.PANASAS | www.panasas.com Sidenote: xxxxxxxxxxxxxxxxxx Project Background RAL’s climate research team was recently funded by the UK’s Department of Business, Innovation and Skills with a £145 million e-infrastructure grant, allowing it to invest in nearly eight petabytes (PB) of high per- formance storage in order to expand its highly data intensive climate modelling ef- forts. The team, led by Dr. Bryan Lawrence, Professor of Weather and Climate Comput- ing at the University of Reading, and Di- rector of Models and Data at the National Centre for Atmospheric Science (NCAS), knew it needed to supplant its legacy, direct attach storage with high perfor- mance networked storage. A parallel file system would be important if it was to obtain the scalability and affordable per- formance required for its rapidly expanding climate modelling workloads. It enlisted the help of Dr. Peter Oliver at the Scientific Computing Technology Group (e-Science Centre) within RAL to advise them on the various HPC storage technologies available. Technology and Business Challenges Dr. Oliver recommended a high perfor- mance parallel file system in order to cope with massive datasets that would choke the team’s legacy systems. His aim was to find a low cost per terabyte solution that offered extreme scalability and ease of inte- gration and management. RAL researchers knew that despite the immense size of the initial storage deployment, the anticipated data growth would mean that the new storage system would need to easily scale- out to meet growing capacity and perfor- mance demands. A principal business challenge was the narrow deployment window. The project’s funding stipulated that all equipment must arrive within two months of the placed or- der, and the entire storage capacity needed to be online and fully operational by the end of the third month. The team evaluated Panasas ActiveStor 11 as well as competing hardware systems running GPFS and Lustre. After a thorough analysis, they chose Panasas because it offered a fully integrated solution that CUSTOMER Rutherford Appleton Laboratory INDUSTRY Academic Research Challenge RAL needed to quickly replace its legacy direct attach storage with HPC storage and a parallel file system to support rapidly expanding climate modelling workloads. It required a low cost per terabyte solution that offered extreme scalability, easy inte- gration, and simple management. Solution Panasas ActiveStor NAS appliances with the fully integrated PanFS® parallel file system. Result RAL’s massive ActiveStor integration, totaling more than eight petabytes, is one of the largest HPC storage deployments in Great Britain, comprising facilities distributed across four sites. ActiveStor delivered unmatched parallel file system performance in addition to the scalability, manageability, reliability, and value required for RAL’s data intensive climate modelling. SUMMARY INDUSTRY:AcademicresearchSUCCESSSTORY:RutherfordAppletonLaboratory RAL Uses Panasas® ActiveStor® to Accelerate Global Climate Research Rutherford Appleton Laboratory (RAL) is one of the UK’s principal government labs and part of the Science and Technology Facilities Council (STFC) which works to keep the UK at the forefront of international science. RAL supports research in such varied areas as astronomy, astrophysics, biology, climate modelling, computational science, energy, medicine, nuclear science, particle physics, and space science. The council has a broad scientific applications portfolio and shares its diverse scientific computing expertise with the world’s academic and industrial manufacturing communities. Roughly 10,000 scientists and engineers use the laboratory’s high performance computing (HPC) facilities every year to conduct ground breaking research in these and other big data-focused disciplines. Rutherford Appleton Laboratory
  • 2. INDUSTRY:AcademicResearch © 2013 Panasas, Inc. All rights reserved. Panasas, the Panasas logo, ActiveStor, PanFS and DirectFlow are trademarks or registered trademarks of Panasas, Inc., in the U.S. and/or other countries. All other trademarks, registered trademarks, trade names, company names and service marks are the respective properties of their holders. Panasas ActiveStor Panasas ActiveStor is the world’s fastest parallel storage system, linearly scaling capacity and performance to 150GB/s, the industry’s highest single file system throughput per terabyte of enterprise SATA storage. All ActiveStor appliances eliminate the bottlenecks found in traditional NAS systems, accelerating application I/O performance by enabling HPC cluster nodes to access a single, scalable file system directly and in parallel. RAL can simply add individual blade chassis or entire racks to non-disruptively scale capacity and performance as its storage requirements grow. ActiveStor provides a single point of management for a single, scalable file system, allowing researchers at Rutherford Appleton Laboratory to focus on using their data to fuel discovery instead of having to worry about overcoming IT challenges. Capacity and performance planning, mount point management, and data load balancing across multiple pools of storage are all common administration problems that are easily solved with Panasas storage. outshined the alternatives in cost, ease of deployment, ease of management, and its seamless linear scalability. The fact that ActiveStor delivered twice the required performance was an added bonus. A Massive Deployment In total, RAL’s ActiveStor installation represent one of the largest HPC storage deployments in Great Britain. The massive ActiveStor deployment comprised facilities distributed across four sites, introducing a new shared-resource approach to research for the participating organizations. Almost 8.5PB of ActiveStor storage was deployed across three NCAS research sites: 6.6PB at RAL, 720 terabytes (TB) at the University of Reading, 180TB at the University of Leeds, and 900TB at a fourth site, the Internation- al Space and Innovation Centre (ISIC). “The Panasas parallel file system remains resilient even at scale, and the direct and parallel access to the storage pool means that we can work on our most complex simulations, unaffected by the system bottlenecks of our previous equipment. The Panasas solution gives us powerful HPC capabilities to help leverage our massive datasets to advance essential scientific discovery.” Dr. Bryan Lawrence, University of Reading & NCAS Summary Rutherford Appleton Laboratory chose Panasas for one of the largest storage deployments in Great Britain. ActiveStor’s fully integrated parallel file system, easy scalability, simplified management, and affordable performance were all consider- ations that made the difference. It eliminat- ed the performance bottlenecks, tedious storage support efforts, and administration headaches of RAL’s legacy systems so that researchers could concentrate on their important work instead of worrying about their IT infrastructure. SUCCESSSTORY:RutherfordAppletonLaboratory Panasas ActiveStor deployment at RAL 042320131085