NCAR’s Mass Storage System Gets Bigger, Faster

By Nicole Hemsoth

February 17, 2006

The Mass Storage System (MSS) at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado, is one of the largest archives in the world dedicated to geoscience research. Some of the data it stores originate from field experiments and observations: international climate records from the past 100 years include data from weather stations, ships, planes, and satellites. The bulk of MSS data, however, is generated by global climate simulations and other Earth systems models that run on high-performance computers.

As these computers become larger and faster, they generate an exponential amount of output data to be archived. Even greater demands for archiving data result from the growing use of coupled atmosphere, ocean, and sea ice climate models.

In January 2006, total data holdings on the MSS exceeded 2.5 petabytes (the equivalent of 2.5 billion 500-page paperback novels), while the quantity of unique data files is increasing by about 35 terabytes each month. Each day, the MSS handles an average of 40,000 requests for data, transporting more than 3.8 terabytes of data to and from NCAR supercomputers.

Ensuring that this enormous amount of information can be stored and accessed speedily, safely, and reliably by geoscientists around the world is the job of NCAR's Scientific Computing Division (SCD), which designed the MSS in the mid-1980s and has been extending its capabilities it ever since.

In January 2006 SCD made a significant upgrade to the MSS by completing the transition from High Performance Parallel Interface (HiPPI) technology to Fibre Channel technology.

“HiPPI is being retired after 13 years of faithful service,” said John Merrill, head of SCD's Mass Storage Systems Group. “For several years we've been moving from HiPPI to Gigabit Ethernet and Fibre Channel as a means to access the MSS. We have now decommissioned the last of the HiPPI devices and eliminated all remaining HiPPI data traffic. All MSS reads and writes are currently being carried through Fibre Channel.”

Data files can now be transferred three to four times faster than before, although users may not notice a sudden change because the transition has been gradual. In addition, the storage capacity of Fiber Channel-enabled media and tape drives is 3.3 times greater than the devices they replace.

These improvements will allow the MSS to expand yet further into the multi-petabyte range, while reducing the latency to access MSS files.

The move to Gigabit Ethernet and Fiber Channel is part of the larger, two-decade evolution of the MSS toward technologies that are faster and more reliable.

In the 1980s, the MSS was comprised strictly of tapes that were mounted manually by human operators. In November 1989, SCD acquired the first StorageTek Powderhorn data silo, which employed robotic arms to mount tapes at the blazing speed of 350 per hour. In 1995, an upgrade increased the speed to 450 mounts per hour.

While early MSS tapes held only 200 megabytes of data, over the years storage technology advanced until today, the same-sized tapes hold 200 gigabytes — a thousand-fold increase over the original cartridge capacity. MSS tape drives have also improved to accommodate higher storage densities and faster data transfers, while the number of data silos has increased to five.

The “brain” of the MSS, the computer that controls the entire storage facility, is called the Mass Storage Control Processor (MSCP). SCD has managed a steady succession of better, faster MSCPs; the current model is a high-speed, high-performance IBM z/890-320.

SCD is now at work on a new software implementation of the MSS metadata catalog, which will further increase bandwidth, accessibility, and reliability for data transfers.

As technology continues to evolve and computational output multiplies, SCD remains committed to providing cost-effective mass storage for the Earth sciences community — as it has since 1978, when NCAR's first rudimentary archival system contained less than one terabyte of data.

The Scientific Computing Division (SCD) is part of the Computational and Information Systems Laboratory (CISL) of the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. NCAR is operated by the University Corporation for Atmospheric Research under the primary sponsorship of the National Science Foundation.

Subscribe to HPCwire's Weekly Update!

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

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable quantum memory framework. “This work provides a promising Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire