TerraSpark Geosciences needed to upgrade its development resources to better support its oil and gas exploration customers. It chose a Panasas ActiveStor 14 solution to provide high performance storage for large seismic data files and streamline workflows. Testing showed processing times reduced from 5 days to 20 minutes. The solution also provided scalability to support future growth and met the needs of TerraSpark's technologically advanced customers.
The combination of scalable ANSYS design and simulation software and HPC clusters with Panasas parallel storage has demonstrated new and significant productivity advantages for workflows in computer aided engineering (CAE) applications. The combination provides
dramatic cost-performance improvements and speeds time-to-results for engineering simulation solutions on commodity HPC clusters
Panasas ® California Institute of Technology Success StoryPanasas
The Center for Advanced Computing Research (CACR) at the California Institute of Technology (Caltech) operates large-scale computing facilities for numerous campus
research groups who have big data design and discovery requirements. CACR has a full-time, 25-person staff with expertise in data-intensive scientific discovery, physicsbased simulation, scientific software engineering, visualization, and novel computer
architectures. It provides technical assistance such as porting code, designing and specifying resources, and advanced IT integration.
Dave Shuttleworth - Platform performance comparisons, bare metal and cloud ho...huguk
Choosing the right database technology and deployment platform can have a major impact on performance and total cost of ownership in production environments. Using the industry TPC-DS benchmark, Dave will present findings from a performance and TCO comparison of EXASOL on dedicated servers, Bigstep bare metal cloud and AWS. The presentation will be a tutorial on performance benchmarking.
Webinar: Performance vs. Cost - Solving The HPC Storage Tug-of-WarStorage Switzerland
The HPC storage performance tier is well defined: scale-out solid state storage systems. But the capacity tier is up for debate. Should you use a high end NAS file system or make the switch to object storage? More importantly: How do you move data from the performance tier to the capacity tier without placing additional burden on already overworked IT personnel?
We answer these questions and provide designs that solve the HPC storage-tug-of-war in our webinar with Caringo. Listen as experts on HPC, NAS and Object Storage discuss the HPC storage challenge, debate the potential solutions and provide you guidance on how to create the right architecture.
Dell PowerEdge R930 with Oracle: The benefits of upgrading to PCIe storage us...Principled Technologies
Strong server performance is essential to companies running Oracle Database. The new Dell PowerEdge R930 provided strong performance with 22 SAS HDDs, but this performance improved when we replaced all of the drives with SAS solid-state drives. It improved further when we used a mix of HDDs and SDDs along with SanDisk DAS Cache. We saw the greatest performance boost when we used eight PCIe SSDs with SanDisk DAS Cache. The upgraded configuration of the Dell PowerEdge R930 with PCIe SSDs and SanDisk DAS Cache delivered 11.1 times the database performance of the all-HDD configuration. This makes the new Dell PowerEdge R930 a powerful platform with scalable storage options that can potentially translate into significant service improvements for your business and your customers, which helps in maximizing ROI.
The combination of scalable ANSYS design and simulation software and HPC clusters with Panasas parallel storage has demonstrated new and significant productivity advantages for workflows in computer aided engineering (CAE) applications. The combination provides
dramatic cost-performance improvements and speeds time-to-results for engineering simulation solutions on commodity HPC clusters
Panasas ® California Institute of Technology Success StoryPanasas
The Center for Advanced Computing Research (CACR) at the California Institute of Technology (Caltech) operates large-scale computing facilities for numerous campus
research groups who have big data design and discovery requirements. CACR has a full-time, 25-person staff with expertise in data-intensive scientific discovery, physicsbased simulation, scientific software engineering, visualization, and novel computer
architectures. It provides technical assistance such as porting code, designing and specifying resources, and advanced IT integration.
Dave Shuttleworth - Platform performance comparisons, bare metal and cloud ho...huguk
Choosing the right database technology and deployment platform can have a major impact on performance and total cost of ownership in production environments. Using the industry TPC-DS benchmark, Dave will present findings from a performance and TCO comparison of EXASOL on dedicated servers, Bigstep bare metal cloud and AWS. The presentation will be a tutorial on performance benchmarking.
Webinar: Performance vs. Cost - Solving The HPC Storage Tug-of-WarStorage Switzerland
The HPC storage performance tier is well defined: scale-out solid state storage systems. But the capacity tier is up for debate. Should you use a high end NAS file system or make the switch to object storage? More importantly: How do you move data from the performance tier to the capacity tier without placing additional burden on already overworked IT personnel?
We answer these questions and provide designs that solve the HPC storage-tug-of-war in our webinar with Caringo. Listen as experts on HPC, NAS and Object Storage discuss the HPC storage challenge, debate the potential solutions and provide you guidance on how to create the right architecture.
Dell PowerEdge R930 with Oracle: The benefits of upgrading to PCIe storage us...Principled Technologies
Strong server performance is essential to companies running Oracle Database. The new Dell PowerEdge R930 provided strong performance with 22 SAS HDDs, but this performance improved when we replaced all of the drives with SAS solid-state drives. It improved further when we used a mix of HDDs and SDDs along with SanDisk DAS Cache. We saw the greatest performance boost when we used eight PCIe SSDs with SanDisk DAS Cache. The upgraded configuration of the Dell PowerEdge R930 with PCIe SSDs and SanDisk DAS Cache delivered 11.1 times the database performance of the all-HDD configuration. This makes the new Dell PowerEdge R930 a powerful platform with scalable storage options that can potentially translate into significant service improvements for your business and your customers, which helps in maximizing ROI.
Rain stor isilon_emc_real_Examine the Real Cost of Storing & Analyzing Your M...RainStor
Are you storing larger than necessary quantities in your data warehouse, RDBMS, and line of business applications? Are you spending a large portion of your budget on Teradata or Netezza with costs continually climbing as data volumes grow? Are you getting the right ROI for all the data you store in your data warehouses?
Read this deck to find out:
What is the cost of storing your critical Big Data assets?
What workloads are best suited for data warehouses, which for Hadoop, and why?
Advantages of running Hadoop on scale-out NAS.
Importance of Security and Data Governance for critical data assets.
How to maintain data warehouse performance even with high growth rates.
Webinar: End NAS Sprawl - Gain Control Over Unstructured DataStorage Switzerland
The key to ending NAS Sprawl is to fix the file system so it can offer cost effective, scalable, high performance storage. In this webinar Storage Switzerland Lead Analyst George Crump, Quantum VP of Global Marketing Molly Rector, and the Quantum StorNext Solution Marketing Senior Director Dave Frederick discuss the challenges facing the typical scale-out storage environment and what IT professionals should be looking for in solutions to eliminate NAS Sprawl once and for all.
In this video from the DDN User Group at SC14, Robert Triendl presents: Optimizing Lustre and GPFS Solutions with DDN.
Learn more: http://www.ddn.com/hpc-matters/
Attendees of Red Hat Storage Day New York on 1/19/16 heard from Red Hat's Ross Turk why software-defined storage matters and how it can help solve data challenges at the petabyte scale and beyond.
Hitachi Unified Storage and Hitachi NAS Platform Performance Optimization wit...Hitachi Vantara
Hitachi Unified Storage VM (HUS VM) and Hitachi Virtual Storage Platform (VSP) flash technology helps increase performance and decrease total disk quantity and while lowering power, cooling and space costs. Attend this WebTech to learn more about how to optimize Hitachi Unified Storage and Hitachi NAS Platform performance using flash acceleration, SSD storage, and other technologies.
Implementation of Dense Storage Utilizing HDDs with SSDs and PCIe Flash Acc...Red_Hat_Storage
At Red Hat Storage Day New York on 1/19/16, Red Hat partner Seagate presented on how to implement dense storage using HDDs with SSDs and PCIe flash accelerator cards.
Big data processing meets non-volatile memory: opportunities and challenges DataWorks Summit
Advanced big data processing frameworks have been proposed to harness the fast data transmission capability of remote direct memory access (RDMA) over InfiniBand and RoCE. However, with the introduction of the non-volatile memory (NVM), these designs along with the default execution models, like MapReduce and Directed Acyclic Graph (DAG), need to be re-assessed to discover the possibilities of further enhanced performance.
In this context, we propose an accelerated execution framework (NVMD) for MapReduce and DAG that leverages the benefits of NVM and RDMA. NVMD introduces novel features for MapReduce and DAG, such as a hybrid push and pull shuffle mechanism and dynamic adaptation to the network congestion. The design has been incorporated into Apache Hadoop and Tez. Performance results illustrate that NVMD can achieve up to 3.65x and 3.18x improvement for Hadoop and Tez, respectively. In this talk, we will also present NVM-aware HDFS design and its benefits for MapReduce, Spark, and HBase.
Speaker: Shashank Gugnani, PhD Student, Ohio State University
A key reason for using dynamic tiering for mainframe storage is performance. This session will focus on dynamic tiering in mainframe environments and how to configure and control tiering. The session ends with a detailed discussion of performance considerations when using Hitachi Dynamic Tiering. By viewing this webcast, you will: Understand Hitachi Dynamic Tiering and the options for configuring and controlling tiering. Understand the performance considerations and the type of performance improvements you might experience when you implement Hitachi Dynamic Tiering. For more information on Hitachi Dynamic Tiering please visit: http://www.hds.com/products/storage-software/hitachi-dynamic-tiering.html?WT.ac=us_mg_pro_dyntir
Alibaba builds the data infrastructure with Apache Hadoop YARN since 2013, and till now it manages more than 10k nodes. In Alibaba, Hadoop YARN serves various systems such as search, advertising, and recommendation etc. It runs not just batch jobs, also streaming, machine learning, OLAP, and even online services that directly impact Alibaba’s user experience. To extend YARN’s ability to support such complex scenarios, we have done and leveraged a lot of YARN 3.x improvements. In this talk, you will find what are these improvements and how they helped to solve difficult problems in large production clusters.
This includes:
1. Highly improved performance with Capacity Scheduler’s async scheduling framework
2. Better placement decisions with node attributes, placement constraints
3. Better resource utilization with opportunistic containers
4. Introduce a load balancer to balance resource utilization
5. Generic resource types scheduling/isolation to manage new resources such as GPU and FPGA
In the presentation, we will further introduce how we build the entire ecosystem on top of YARN and how we keep evolving YARN’s ability to tackle the challenges brought by continuously increasing data and business in Alibaba.
Speakers
Weiwei Yang, Alibaba, Staff Software Engineer
Ren Chunde, Alibaba Group, Senior Engineer
Implementing Parallelism in PostgreSQL - PGCon 2014EDB
PostgreSQL's architecture is based heavily on the idea that each connection is served by a single backend process, but CPU core counts are rising much faster than CPU speeds, and large data sets can't be efficiently processed serially. Adding parallelism to PostgreSQL requires significant architectural changes to many areas of the system, including background workers, shared memory, memory allocation, locking, GUC, transactions, snapshots, and more.
Rain stor isilon_emc_real_Examine the Real Cost of Storing & Analyzing Your M...RainStor
Are you storing larger than necessary quantities in your data warehouse, RDBMS, and line of business applications? Are you spending a large portion of your budget on Teradata or Netezza with costs continually climbing as data volumes grow? Are you getting the right ROI for all the data you store in your data warehouses?
Read this deck to find out:
What is the cost of storing your critical Big Data assets?
What workloads are best suited for data warehouses, which for Hadoop, and why?
Advantages of running Hadoop on scale-out NAS.
Importance of Security and Data Governance for critical data assets.
How to maintain data warehouse performance even with high growth rates.
Webinar: End NAS Sprawl - Gain Control Over Unstructured DataStorage Switzerland
The key to ending NAS Sprawl is to fix the file system so it can offer cost effective, scalable, high performance storage. In this webinar Storage Switzerland Lead Analyst George Crump, Quantum VP of Global Marketing Molly Rector, and the Quantum StorNext Solution Marketing Senior Director Dave Frederick discuss the challenges facing the typical scale-out storage environment and what IT professionals should be looking for in solutions to eliminate NAS Sprawl once and for all.
In this video from the DDN User Group at SC14, Robert Triendl presents: Optimizing Lustre and GPFS Solutions with DDN.
Learn more: http://www.ddn.com/hpc-matters/
Attendees of Red Hat Storage Day New York on 1/19/16 heard from Red Hat's Ross Turk why software-defined storage matters and how it can help solve data challenges at the petabyte scale and beyond.
Hitachi Unified Storage and Hitachi NAS Platform Performance Optimization wit...Hitachi Vantara
Hitachi Unified Storage VM (HUS VM) and Hitachi Virtual Storage Platform (VSP) flash technology helps increase performance and decrease total disk quantity and while lowering power, cooling and space costs. Attend this WebTech to learn more about how to optimize Hitachi Unified Storage and Hitachi NAS Platform performance using flash acceleration, SSD storage, and other technologies.
Implementation of Dense Storage Utilizing HDDs with SSDs and PCIe Flash Acc...Red_Hat_Storage
At Red Hat Storage Day New York on 1/19/16, Red Hat partner Seagate presented on how to implement dense storage using HDDs with SSDs and PCIe flash accelerator cards.
Big data processing meets non-volatile memory: opportunities and challenges DataWorks Summit
Advanced big data processing frameworks have been proposed to harness the fast data transmission capability of remote direct memory access (RDMA) over InfiniBand and RoCE. However, with the introduction of the non-volatile memory (NVM), these designs along with the default execution models, like MapReduce and Directed Acyclic Graph (DAG), need to be re-assessed to discover the possibilities of further enhanced performance.
In this context, we propose an accelerated execution framework (NVMD) for MapReduce and DAG that leverages the benefits of NVM and RDMA. NVMD introduces novel features for MapReduce and DAG, such as a hybrid push and pull shuffle mechanism and dynamic adaptation to the network congestion. The design has been incorporated into Apache Hadoop and Tez. Performance results illustrate that NVMD can achieve up to 3.65x and 3.18x improvement for Hadoop and Tez, respectively. In this talk, we will also present NVM-aware HDFS design and its benefits for MapReduce, Spark, and HBase.
Speaker: Shashank Gugnani, PhD Student, Ohio State University
A key reason for using dynamic tiering for mainframe storage is performance. This session will focus on dynamic tiering in mainframe environments and how to configure and control tiering. The session ends with a detailed discussion of performance considerations when using Hitachi Dynamic Tiering. By viewing this webcast, you will: Understand Hitachi Dynamic Tiering and the options for configuring and controlling tiering. Understand the performance considerations and the type of performance improvements you might experience when you implement Hitachi Dynamic Tiering. For more information on Hitachi Dynamic Tiering please visit: http://www.hds.com/products/storage-software/hitachi-dynamic-tiering.html?WT.ac=us_mg_pro_dyntir
Alibaba builds the data infrastructure with Apache Hadoop YARN since 2013, and till now it manages more than 10k nodes. In Alibaba, Hadoop YARN serves various systems such as search, advertising, and recommendation etc. It runs not just batch jobs, also streaming, machine learning, OLAP, and even online services that directly impact Alibaba’s user experience. To extend YARN’s ability to support such complex scenarios, we have done and leveraged a lot of YARN 3.x improvements. In this talk, you will find what are these improvements and how they helped to solve difficult problems in large production clusters.
This includes:
1. Highly improved performance with Capacity Scheduler’s async scheduling framework
2. Better placement decisions with node attributes, placement constraints
3. Better resource utilization with opportunistic containers
4. Introduce a load balancer to balance resource utilization
5. Generic resource types scheduling/isolation to manage new resources such as GPU and FPGA
In the presentation, we will further introduce how we build the entire ecosystem on top of YARN and how we keep evolving YARN’s ability to tackle the challenges brought by continuously increasing data and business in Alibaba.
Speakers
Weiwei Yang, Alibaba, Staff Software Engineer
Ren Chunde, Alibaba Group, Senior Engineer
Implementing Parallelism in PostgreSQL - PGCon 2014EDB
PostgreSQL's architecture is based heavily on the idea that each connection is served by a single backend process, but CPU core counts are rising much faster than CPU speeds, and large data sets can't be efficiently processed serially. Adding parallelism to PostgreSQL requires significant architectural changes to many areas of the system, including background workers, shared memory, memory allocation, locking, GUC, transactions, snapshots, and more.
Autorias compartilhadas é uma reflexão sobre como estamos produzindo informação na Internet e de como essas informações possuem a contribuição de muitas pessoas, porque estamos o tempo todo dividindo, trocando e aprendendo uns com os outros.
Social Media Optimization and why it is essential for any business today. Get a Free Strategy Session on how we can help your business getting new clients fast
ActiveStor removes performance bottle necks found in traditional NAS systems by allowing the compute clients to read and write data in parallel to and from the physical storage devices, allowing incredibly fast access to very large data sets from many clients, simultaneously. Companies who deploy Panasas storage will dramatically
reduce processing time—improving user productivity and reducing overall project time while simplifying storage operations and management
CD-adapco is the world’s largest independent CFD-focused provider of engineering simulation software, support, and services. The company’s STAR-CCM+ provides comprehensive simulation capability for solving problems involving flow of fluids and solids, heat transfer, and stress within a single integrated package. Obtaining results quickly requires extreme processing power matched to a big data storage solution that eliminates I/O bottlenecks.
Big data describes the phenomenon of using data to
derive business value. Financial organizations create value
with big data through the collection and simulation of data
for risk analysis, research, and post-trade analytics. The
sheer volume and growth rate of data can strain storage
resources. Monte Carlo simulation, tick data analysis, and
portfolio optimization require high performance parallel
storage to satisfy the demand for fast, shared access to
large and small files alike. This data explosion is driving
the need for fast, extremely scalable, easy to manage, and
affordable high performance storage system
Panasas’ storage products enable customers to accelerate innovation by running simulations and other data-intensive workloads significantly faster. Here’s how your business can benefit by using Panasas Storage Solutions.
Deluxe Australia is a leading provider of services and technologies to the worldwide entertainment industry including top Hollywood studios. For nearly a century, Deluxe has provided content owners and creators with the tools and talent they need to bring the most compelling and exciting stories to life. Deluxe specializes in production,
post-production, distribution, and asset management.
Geofizyka Krakow Selects Panasas for Simplicity and PerformancePanasas
Geofizyka Krakow’s customers rely on the critical data they receive from the company to be competitive in a very demanding industry. The company needed an IT storage solution that could manage the its demanding computing work workload while retaining management simplicity. With Panasas Geofizyka Krakow is seeing up to 6X faster completion of
seismic processing jobs, improved image results, and more.
Life science research organizations are
re-evaluating their storage strategies in the
face of rapidly growing volumes of critically
important data. The increased use of
advanced gene sequencing and medical
imaging applications are taxing legacy
storage infrastructures. Life sciences
applications are driving the need for fast,
extremely scalable, easy-to-manage, and
affordable high-performance storage
systems that handle intense technical
workloads while accelerating time-to-results
Learn how Penn State slashes backup time by 80 percent. For more information on IBM FlashSystem, visit http://ibm.co/10KodHl.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Red Hat and Verizon teamed up to take attendees of Red Hat Storage Day New York on 1/19/16 through a tour of containerized storage and why it's important to the future of storage.
Panasas Delivers Seismic Data 10x Faster to Geophysical Development Corp.Panasas
To deliver fast and accurate seismic data to their global customers exploring and developing hydrocarbon reserves, Geophysical Development Corporation (GDC) required a new storage system to maximize the compute power of their Linux cluster. Here’s how they improved their performance by 10X with a simplified cluster management.
MicroSeismic Sees Tenfold Performance Increase with PanasasPanasas
Inadequate storage architecture slowing production processing was impacting MicroSeismic’s ability to deliver meaningful seismic imaging data to customers in a timely manner. Here’s how Panasas Storage with DirectFLOW® client software helped them achieve 10X application performance improvement.
Accelerating Design in Manufacturing EnvironmentsPanasas
Panasas parallel storage brings HPC storage features to Computer Aided Engineering (CAE) applications in manufacturing environments. The combination of scalable application software and commodity compute
clusters that leverage Panasas® ActiveStor® scale-out NAS technology has resulted in
significant productivity advantages for CAE workflows. The benefits range from compelling cost/performance improvements
to time-saving, high-fidelity simulation.
Renowned film media company posed a unique challenge to Netweb Technologies for upgrading their NAS environment to higher capacity and to deliver very high IOPS without increasing the costs by much; Netweb provided the solution through SSD Caching.
Data Sheet for Panasas ActiveStor 16.
Hybrid Scale-out NAS Appliance Accelerates Time-to-Resultsfor Technical Research and Enterprise Workloads
Panasas® ActiveStor® with PanFS® 6.0 is the only no-compromise hybrid scale-out NAS solution
designed to deliver performance, reliability and manageability at scale. With flash technology
speeding small file and metadata performance, ActiveStor provides significantly improved
file system responsiveness while accelerating time-to-results. Based on a fifth-generation
storage blade architecture and the Panasas PanFS storage operating system, ActiveStor offers
an attractive low total cost of ownership for the energy, finance, government, life sciences,
manufacturing, media, and university research markets.
Flash Stories: How Customers Make Smarter Decisions FasterWestern Digital
Watch the full webinar here: http://bit.ly/1Q2thar
Every second counts in the data center. When storage latency prevents you from meeting SLAs or improving data center efficiency, solid-state memory can be used to meet a variety of needs. Join Rob Callaghan, as he shares real customer stories on how they were able to virtualize SQL servers, reduce search queries, and improve QoS by leveraging SanDisk flash technology. You’ll learn the unique architecture advantages of flash storage and the broad range of SanDisk solutions that have helped customers dramatically improve application performance while reducing capacity challenges and cost.
During a period when various proposed solutions under consideration were either too expensive, too proprietary
or functionally inadequate, FTEL was contacted by DataCore and introduced to the SANsymphony™ advanced
storage networking and management software. Ian Batten, FTEL’s IT Director, explained, “The DataCore solution
appeared to offer many of the aspects missing from other options, such as block level snapshot, easier device
sharing, single point of administration, better caching and the prospect of interesting solutions to the backup
issue.” FTEL decided to evaluate SANsymphony utilizing commodity RAID devices for storage. With even
relatively low-end storage, the results were impressive enough that the solution moved forward into a
production environment
SAN vs NAS vs DAS: Decoding Data Storage SolutionsMaryJWilliams2
Discover the advantages and differences of SAN, NAS, and DAS storage solutions. With our detailed comparison and insights, you'll be able to determine which data storage system suits your needs best.
For more information visit: https://stonefly.com/blog/san-vs-nas-vs-das-a-closer-look/
Similar to Panasas ® Terraspark Geosciences Customer Success Story (20)
Is Your Storage Ready for Commercial HPC? - Three Steps to TakePanasas
Learn why:
1. HPC workloads are on the rise
2. Enterprise storage can't meet HPC demands
3. Traditional HPC storage is a poor fit
4. 3 Steps to design Enterprise-Class HPC
Panasas ® University of Cologne Success StoryPanasas
In 2004, the Center for Applied Informatics at the
University of Cologne in Germany, sought to bring
high-performance computing (HPC) in the form of
Linux cluster computing to one of the oldest and most
prestigious institutions of higher education. Over
the years as the demand on their HPC resources
continued to grow, their existing storage systems could
not keep pace. This case study details the challenges
faced by the Center at the University of Cologne and
how Panasas storage successfully met the Center’s
requirements for a scalable, ultra high-performance
storage infrastructure.
Oxford University’s Advanced Research Computing (ARC) facility (formerly known as the Oxford SuperComputing Centre) is a central resource available to researchers from
any discipline that need access to High Performance Computing (HPC) capabilities. By offering the ability to store large data sets accessed by high performance applications running on large compute clusters, researchers can tackle larger, more complex
questions with ease. ARC relies on its Panasas ActiveStor hybrid scale-out NAS solution to provide fast, reliable, and easy-to-administer storage around the clock to support
researchers’ diverse work flows.
The Institute for Digital Research and Education (IDRE) at the University of California at Los Angeles (UCLA) provides a high performance computing (HPC) private cloud to empower university scholars with the computational resources they need for core
design and discovery. Through the collaborative efforts of its experienced team of researchers, IDRE helps make UCLA a world leader in high-performance computing,
visualization research, and education.
Panasas ® The Defence Academy of the United Kingdom Panasas
The Nuclear Department at the Defence Academy of the United Kingdom, recently installed ActiveStor 11 to accelerate research. Leveraging PanFS, the integrated
Panasas parallel file system to support a high performance Linux cluster, the academy performs Monte Carlo simulations of whole core reactor behaviors and runs
deterministic models of radiation transport problems.
The Center for High Performance Computing at Utah State University (HPC@USU) provides campus-wide HPC
resources to facilitate world-class research and
scientific discovery. The center relies on Panasas ®
ActiveStor® to provide cost-effective performance, scalability, and ease of use to fuel research excellence
Rutherford Appleton Laboratory uses Panasas ActiveStor to accelerate global c...Panasas
With nearly 8.5 petabytes of ActiveStor storage, the Panasas installation at Rutherford Appleton Laboratory (RAL) represents one of the largest multi-location, high-performance computing (HPC) storage deployments in Great Britain. Panasas ActiveStor gives RAL a solution that offers extreme scalability and simple storage management capabilities so that scientists can focus on important research, not on cumbersome system administration.
Panasas ActiveStor 11 and 12: Parallel NAS Appliance for HPC WorkloadsPanasas
Panasas® ActiveStor™ is the world’s fastest parallel storage system, bringing plugand-
play simplicity to large scale storage deployments. Based on a fourth-generation
storage blade architecture and the Panasas® PanFS™ storage operating system,
ActiveStor delivers unmatched parallel file system performance in addition to the
scalability, manageability, reliability, and value required by demanding technical
computing organizations in the bioscience, energy, finance, government, manufacturing
and other research sectors.
Genomics Center Compares 100s of Computations Simultaneously with PanasasPanasas
The Center for Integrative Genomics brings together researchers from traditionally separated fields of study to analyze and compare the genome sequences of a broad spectrum of organisms in order to determine the mechanisms responsible for evolutionary diversity among animals, plants and microbes. The university was facing a challenge to quickly and easily conduct comparative analyses of hundreds of computations required to accomplish their mission to research and understand gene regulation. Here is how the integrated software/hardware solution which includes the Panasas Operating Environment and the PanFS™ parallel filesystem with the Panasas DirectFLOW® protocol helped the University to achieve exceptional performance.
The Andrej Sali Lab Processes Millions of Small Files with PanasasPanasas
The University of California, San Francisco (UCSF) needed a computing solution that could process millions of small files as quickly as possible for researchers identifying the structural similarities of protein models. They needed to eliminate poor storage system performance and significantly decrease administrator management time and within a limited budget. Here is how the fully integrated software/hardware solution including the Panasas Operating Environment and the PanFS parallel file system with the Panasas DirectFLOW protocol helped UCSF to overcome the challenges.
UCSC's Biomolecular Department Eliminates I/O Bottleneck with PanasasPanasas
Slow I/O and downtime impacted the run times of the University of California Santa Cruz's Genome Browser search tool used by scientists in their work to solve questions of the postgenomic era. They were searching for a storage solution that delivered high performance random I/O to an exceptionally large number of cluster nodes and one that would allow them to focus solely on their tests instead of the systems running them.
Panasas Storage Smooths Turbulence for ICME at Stanford UniversityPanasas
An existing storage system hindered the compute performance of this research organization’s work in designing systems free of performance and safety issues related to turbulence. Their storage system often hung and limited the productivity of the cluster. A critical issue for a new system was installation and amount of time required for ease of integration. The fully integrated software/hardware solution to this problem included the Panasas Operating Environment and the PanFS parallel file system with the Panasas DirectFLOW protocol.
National Institutes of Health Maximize Computing Resources with PanasasPanasas
The National Center for Biotechnology Information (NCBI), a division of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), serves as a national resource for molecular biology information serving research groups from around the world. Here’s how Panasas works with them to deliver 5X performance and affordable scalability for fast growing archives.
Gaasterland Laboratory Simplifies Genomics Research with PanasasPanasas
The Gaasterland Laboratory of Computational Genomics at The Rockefeller University aims to create and use new software tools to explore the unfolding world of genomes. The tools are designed to integrate, analyze, and visualize the output of high-throughput molecular biology experiments in the context of complete genome sequence data. In an effort to apply new tools to specific biological questions in the most efficient way possible, a prerequisite is a high performance storage solution that is easy to access and manage.
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Panasas ® Terraspark Geosciences Customer Success Story
1. INDUSTRY:Energy
1.888.PANASAS | www.panasas.com
SUMMARY TerraSpark had an opportunity to upgrade
its development and test resources while
equipping its engineers with powerful, state-
of-the-art workstations and enterprise-
grade network attached storage (NAS) in
order to assure seamless cooperation with
its technologically savvy customers.
The Challenge
According to TerraSpark Systems Admin-
istrator, Steve Dominguez, the company
needed a high performance scale-out NAS
solution that would be fast, easy to install
and be essentially ‘self-tuning’ to effortless-
ly accommodate both very large and very
small files simultaneously. Simple system
management would also be a key consider-
ation because taking the system offline for
maintenance or management would simply
not be an option as active production never
stops and drilling dates must be met.
TerraSpark customers collect field data in
complex workflows that take up to several
months to complete. They deliver their files
in the SEG-Y format and they can grow to
100GB. These files are typically compressed
by a factor of four as they are pulled into
workflows by geophysicists who analyze
the data to assess potential drilling op-
portunities. Multiple versions of both very
large and very small files may be generated
and saved causing the number of project
files to balloon into the tens of thousands.
As a result, a single project might amount
to 5TB of total content, and there might be
dozens of projects over the course of a year.
The Solution
TerraSpark regularly surveys key customers
to better understand their evolving require-
ments. The company recently sought input
on its storage upgrade project. On the
workstation side, customers described pro-
viding dual socket 16 core Xeon E5 systems
running RHEL 5 with 256GB DDR III DRAM
and the most powerful GPUs available to
their own interpretation staff. On the stor-
age side, it was a bit more complicated.
“We received a wide range of input, so we
looked at a lot of options,” Dominguez said.
“Many storage vendor claims
sounded pretty good until we dug
into them a little bit. We elimi-
nated many options pretty quickly,
but with Panasas ActiveStor 14,
the more we drilled down, the
more we liked.”
Steve Dominguez
Systems Administrator, TerraSpark Geosciences
“ActiveStor 14, in a 3+8 (three director
blades and eight storage blades in a single
chassis) configuration with 45TB of raw
HDD capacity, 4.8TB of SSD capacity and
172GB of DDR III ECC DRAM cache, was an
amazingly good fit for our mixed workload
requirements. The integrated Panasas
PanFS parallel file system delivers the per-
formance and scalability we need.
SUCCESSSTORY:terrasparkgeosciences
TerraSpark Geosciences
TERRASPARK
G E O S C I E N C E S
Panasas®
ActiveStor®
14 Powers 3D Seismic Volume Interpretation
TerraSpark Geosciences designs software tools for energy exploration and production.
Its flagship product, Insight Earth, enables visualization-guided 3D seismic volume inter-
pretation of structure and stratigraphy, and integrated directional well-path planning.
CUSTOMER
TerraSpark Geosciences
INDUSTRY
Energy
Challenge
• To source a state-of-the-art, easy to use
scale-out NAS solution that would provide
top performance and maximum scalability
• To optimize Insight Earth performance
• Emulate tier-one customer interpretation
environments
Solution
• ActiveStor 14
• PanFS parallel file system
Result
• Processing times reduced from five days to
20 minutes
• 360x acceleration for a 1GB 3D seismic
volume
• Streamlined workflows