Delivering Results Built on Trust and Choice—for Big Data

December 16, 2013

Not all data is created equal.  The value of data may not be known for years to come.  A geographic survey from the past could yield information on prospective reservoirs.   An abandoned jet engine design may provide useful insights in jet propulsion. The list of examples is endless.

What is common across nearly all data sets is that the underlying storage platform requirements change over time. Users typically need storage performance early in the data lifespan, within the first 90 days.  As data sets age, organizations need an easy, efficient, and user-transparent way to move data to lower cost storage, such as tape.   When storage systems need to be upgraded (typically every 2-7 years), organizations need an easy, non-disruptive path to new systems.

Cray now offers a way to do just this.  The new system– Cray Tiered Adaptive Storage (TAS)–lets customers preserve data indefinitely, keep data continuously accessible to users and applications during migration, and upgrade the storage infrastructure for years to come, as needed.

In cases where customers need fast parallel storage, such as scratch, Cray offers Sonexion.  Cray Sonexion reduces complexity, and scales performance and capacity together.  Cray Sonexion consolidates Lustre in a compact, appliance-like form factor that interoperates with any popular Linux cluster.

Storage Solutions for x86 Linux

Got Linux?  Think Cray for storage.  All products and services provided by Cray’s data storage business for Big Data connect to Linux.  Cray Cluster Connect (C3) for Lustre offers dependable, interoperable storage solutions for x86 Linux.  Cray ships a Lustre Client for x86 Linux that comes packaged with C3.  Cray optimizes Lustre across the entire data path from the Linux client down to the storage array.  Customers choose the storage platform—DDN, NetApp E-Series, or Cray Sonexion—and Cray delivers and end-to-end storage solution that performs optimally.

Cray supports the entire solution from the Linux client down to the disks.  What’s unique about C3 is the flexibility of the storage architecture.  Characterizing how certain applications perform –and optimizing the entire I/O path from the client to disk—ensure the system scales optimally as needed.  Cray’s expertise spans the entire stack—applications, compute, networking, and storage.   Cray provides a single point of support, including all software and hardware, for multi-vendor storage solutions.  Most storage vendors have developed expertise in a single area, such as block storage.

Cray holds the world record for delivering the world’s fastest in-production single Lustre file system at NCSA Blue Waters.  Cray scales large sequential I/O performance from 5GB/s to 1TB/s in a single file system.

All of Cray’s storage solutions share a common benefit:  delivering results based on customer requirements. Cray TAS is delivered pre-configured, deployment ready, and connects to industry-standard file sharing protocols like Lustre and NFS.

Understanding Parallel File Systems

For organizations investigating parallel file systems, Cray makes an ideal partner.  There are many choices and decisions relating to software and hardware.  Networking, file systems, and storage may be the most challenging for some organizations.

Where does Lustre fit?  Should GPFS or NFS be deployed?  Often, Lustre and other parallel file systems such as GPFS complement NAS and SAN deployments.  Cray even has a way of virtualizing parallel file systems and NFS to maximize parallel access into Cray Supercomputers.  This unique offering—Data Virtualization Services—comes included with the XC-line of Supercomputers running Cray Linux Environment (CLE).

Lustre is Cray’s native parallel file system of choice.  Over two-thirds of the world’s fastest Supercomputers are powered by Lustre.  As a co-founder of OpenSFS, a consortium dedicated to advancing open scalable file systems, Cray collaborates with industry partners and customers to advance Lustre.

Is Lustre ready for the enterprise and commercial HPC?  Cray recently published a paper describing the decisions and considerations of using Lustre in commercial HPC and enterprises, where reliability is critical.    Making the Business Case for Lustre is available for download on the Cray website.

Tiered Storage for Big Data and Large-scale Archiving

Cray TAS is ideal for customers requiring HSM-style simplicity using open source technologies and best of breed, multi-vendor storage technologies.  Cray’s solution provides a flexible tiering model where customers can choose the media type—SSD, disk, and tape, in various combinations.  Cray TAS abstracts file systems into a common storage so all data can be migrated bi-directionally between fast file systems like Lustre, across primary storage (often connected by NFS), and deep archives, usually tape-based.

In a strategic partnership with Versity, co-founded by Harriet Coverston, Cray has produced a complete tiered storage solution integrating SSD, disk, and tape.  Cray builds on Versity’s open format HSM and storage virtualization software engine for Linux, and provides everything a customer needs to get up and going with an end-to-end archiving solution.  This includes best practices, data migration services, and sample templates and policies.  Customers classify data any number of ways, and maintain continuous access to data across its lifespan.

Use cases for TAS range from commercial enterprises supporting compliance and large-scale data archiving initiatives to tiered storage to digital libraries with massive archiving requirements.  The need for Cray TAS could be driven by massive data growth (e.g., files and videos) or any number of company-specific data preservation requirements.

Cray develops all its solutions—from XC30 Supercomputers to TAS—with the future in mind.  It’s essential to be able to upgrade systems over time to take advantage of the latest innovations.

As Seymour Cray once said, “the future is seldom the same as the past”.

Your Trusted Expert is Cray.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Geospatial Data Research Leverages GPUs

August 17, 2017

MapD Technologies, the GPU-accelerated database specialist, said it is working with university researchers on leveraging graphics processors to advance geospatial analytics. The San Francisco-based company is collabor Read more…

By George Leopold

Intel, NERSC and University Partners Launch New Big Data Center

August 17, 2017

A collaboration between the Department of Energy’s National Energy Research Scientific Computing Center (NERSC), Intel and five Intel Parallel Computing Centers (IPCCs) has resulted in a new Big Data Center (BDC) that Read more…

By Linda Barney

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last week the cloud giant released deeplearn.js as part of that in Read more…

By John Russell

HPE Extreme Performance Solutions

Leveraging Deep Learning for Fraud Detection

Advancements in computing technologies and the expanding use of e-commerce platforms have dramatically increased the risk of fraud for financial services companies and their customers. Read more…

Spoiler Alert: Glimpse Next Week’s Solar Eclipse Via Simulation from TACC, SDSC, and NASA

August 17, 2017

Can’t wait to see next week’s solar eclipse? You can at least catch glimpses of what scientists expect it will look like. A team from Predictive Science Inc. (PSI), based in San Diego, working with Stampede2 at the Read more…

By John Russell

Microsoft Bolsters Azure With Cloud HPC Deal

August 15, 2017

Microsoft has acquired cloud computing software vendor Cycle Computing in a move designed to bring orchestration tools along with high-end computing access capabilities to the cloud. Terms of the acquisition were not disclosed. Read more…

By George Leopold

HPE Ships Supercomputer to Space Station, Final Destination Mars

August 14, 2017

With a manned mission to Mars on the horizon, the demand for space-based supercomputing is at hand. Today HPE and NASA sent the first off-the-shelf HPC system i Read more…

By Tiffany Trader

AMD EPYC Video Takes Aim at Intel’s Broadwell

August 14, 2017

Let the benchmarking begin. Last week, AMD posted a YouTube video in which one of its EPYC-based systems outperformed a ‘comparable’ Intel Broadwell-based s Read more…

By John Russell

Deep Learning Thrives in Cancer Moonshot

August 8, 2017

The U.S. War on Cancer, certainly a worthy cause, is a collection of programs stretching back more than 40 years and abiding under many banners. The latest is t Read more…

By John Russell

IBM Raises the Bar for Distributed Deep Learning

August 8, 2017

IBM is announcing today an enhancement to its PowerAI software platform aimed at facilitating the practical scaling of AI models on today’s fastest GPUs. Scal Read more…

By Tiffany Trader

IBM Storage Breakthrough Paves Way for 330TB Tape Cartridges

August 3, 2017

IBM announced yesterday a new record for magnetic tape storage that it says will keep tape storage density on a Moore's law-like path far into the next decade. Read more…

By Tiffany Trader

AMD Stuffs a Petaflops of Machine Intelligence into 20-Node Rack

August 1, 2017

With its Radeon “Vega” Instinct datacenter GPUs and EPYC “Naples” server chips entering the market this summer, AMD has positioned itself for a two-head Read more…

By Tiffany Trader

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

Leading Solution Providers

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

IBM Clears Path to 5nm with Silicon Nanosheets

June 5, 2017

Two years since announcing the industry’s first 7nm node test chip, IBM and its research alliance partners GlobalFoundries and Samsung have developed a proces Read more…

By Tiffany Trader

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Share This