Blue Waters Seals Off with Tape

By Nicole Hemsoth

May 30, 2013

This week the National Center for Supercomputing Applications (NCSA) confirmed that its anticipated 380 petabyte High Performance Storage System (HPSS) is up and running to support the data-laden needs of Blue Waters.

HPSS is the result of a long-term academic and vendor (IBM) collaboration to create a hierarchical storage management and services paradigm that addresses scalability limitations that some researchers and enterprise users face in terms of capacity, file size, data rates, total objects stored and sheer number of users.

While it’s often associated with supercomputing sites, it’s also aimed at addressing the needs of highly parallel systems and workstations in enterprise settings who wish scale to the petabyte range (which it has proven) and beyond.

The center says their newly minted HPSS environment consists of multiple “automated tape libraries, dozens of high performance data movers, a large 40 GbE network, hundreds of high performance tape drives and about 100,000 tape cartridges. They point to this as an expansion of their ability to digest large research data volumes while remaining scalable as future data needs grow as it lets them keep active data closer to the compute.

Part of what made this a fit for the projects set to run on Blue Waters is the ability to move massive files between storage elements rapidly. NCSA says their implementation of the HPSS hierarchical file system software allows them to efficiently manage the access and storage of hundreds of fast petabytes while allowing them to address the lifecycle of that information by kicking the inactive data to tape where it rests until it’s needed again. While in theory, this sounds rather simple, it’s taken the teams who’ve developed it since 1992 to perfect it to the point of petabyte-level pushing.

The center’s pre-production acceptance testing revealed some notable successes. NCSA claims they demonstrated, for over 5 billion files within a single name space, constant file ingest and retrieval performance, independent of the number of files in the system.

They were also able to ingest 426 terabytes and retrieve 499 terabytes in one 24-hour period—yielding a rather impressive 38.5 per hour throughput. Center officials claim what during its initial period it maintained an average rate of 5.5 terabytes per hour.

Michelle Butler, NCSA’s senior technical program manager for storage and networking, recalls that during the more than 25 years the center has run archives and near-line systems “It took us 19 years to reach our first petabyte and an additional year to accumulate the second petabyte. For the Blue Waters system, we had our first petabyte in just two weeks.”

HPSS is a longstanding effort led by IBM and select Department of Energy Labs (LBNL, LLNL, ORNL, Argonne and Sandia), although with broader university and supercomputing center support. When the teams first set about looking for a highly scalable storage system, the impetus even then was addressing a proliferation of ever-mounting data volumes. Now, at a time when the challenges of “big data” are on everyone’s lips, the fruits of the HPSS Collaboration and resulting hierarchical storage management (HSM) archive efforts are readier than ever to pluck, especially as data management, storage and I/O challenges are more prescient.

The team behind the collaborative HPSS effort says that now they’ve proven themselves in petabyte realms, the future of exaflop ranges requires the ability to keep scaling storage in various dimensions by another factor of 1,000, especially to keep pace with the types of newer, real-time applications designed to run on massive systems. They note that they “believe the HPSS architecture and basic implementation, built around a scalable relational database management system (in this case IBM’s DB2) make it well suited to these challenges.”

The following map lends a sense of how widespread the sites are that have rolled out petabytes or more in a single HPSS file system.

According to Bill Kramer, the deputy project director on the Blue Waters project, this makes Blue Waters the “most data-focused, data-intensive system available to the U.S. science and engineering community. The center notes that the addition of this arsenal marks the world’s largest near-line data repository for open science.

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!

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t 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 of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter 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 pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates 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…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent 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…

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…

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…

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…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a 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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire