University of Maryland Launches New Supercomputer

May 14, 2014

May 14 — The University of Maryland unveils today Deepthought2, one of the nation’s fastest university-owned supercomputers, to support advanced research activities ranging from studying the formation of the first galaxies to simulating fire and combustion for fire protection advancements. Developed with high-performance computing solutions from Dell, Deepthought2 has a processing speed of about 300 teraflops.

Deepthought2 is a significant asset of the new Cyberinfrastructure Center – a 9,000-square-foot data facility located in the Rivertech Building in the university’s M Square Research Park.

“To be among the best requires research and educational facilities that are among the best,” said University of Maryland President Wallace D. Loh. “Deepthought2 will attract top researchers and students who need its data-intensive computing power,” Dr. Loh said.

Several university divisions and colleges and researchers from a variety of disciplines worked together to obtain this new central computing resource and to bring online the new Cyberinfrastructure Center – a facility specifically designed to provide the needed space, energy efficient climate control, and backup power for the supercomputer.

“Deepthought2 places the University of Maryland in a leadership position in the use of high-performance computing in support of diverse and complex research,” said Ann G. Wylie, Professor and Interim Vice President for Information Technology. “This new supercomputer will allow hundreds of university faculty, staff, and students to pursue a broad range of research computing activities locally – such as multi-level simulations, big data analysis, and large-scale computations – that previously could only be run on national supercomputers,” Dr. Wylie said.

Deepthought2 replaces the original Deepthought, installed in 2006. The new supercomputer, which is 10 times faster than its predecessor, can complete between 250 trillion and 300 trillion operations per second. It has a petabyte (1 million gigabytes) of storage and is connected by an InfiniBand network, a very high-speed internal network. Put another way, Deepthought2 is the equivalent of 10,000 laptops working together, it has 2,000 times the storage of an average laptop, and its internal network is 50 times faster than broadband.

“Supercomputers are increasingly being used in all areas of research, and computing resources that can sift through vast amounts of data at incredible speeds are becoming essential tools in expanding the frontiers of knowledge and in solving the urgent scientific and societal problems of our times,” said Fran LoPresti, Deputy CIO of Cyberinfrastructure and Research IT for the Division of Information Technology.

Ranked among the nation’s top 25 public research universities, the University of Maryland has been awarded approximately $500 million annually in external research funding in recent years.

“High-performance computing is key, and Deepthought2’s expanded capabilities will further Maryland’s research funding competitiveness and help UMD researchers bring in new grant money to fund the science enabled by such a powerful local facility,” said Derek Richardson, UMD Professor of Astronomy.

Based on current standings, Deepthought2 is expected to rank among the top high-performance computing clusters located at U.S. universities and among the top 500 clusters in the world. Supercomputers are qualified according to a standardized benchmarking test, and then they are ranked by the TOP500 Project (Top500.org).

“We are pleased to partner with the University of Maryland as institution leaders further their high-performance computing initiatives and continue to leverage technology to provide top-notch research and scholarly pursuits for faculty, students, and staff,” said John Mullen, Vice President and General Manager, Dell Large Institution Sales.

About the University of Maryland

The University of Maryland is the state’s flagship university and one of the nation’s preeminent public research universities. A global leader in research, entrepreneurship, and innovation, the university is home to more than 37,000 students, 9,000 faculty and staff, and 250 academic programs. Its faculty includes three Nobel laureates, two Pulitzer Prize winners, 49 members of the national academies, and scores of Fulbright scholars. The institution has a $1.8 billion operating budget, secures $500 million annually in external research funding, and recently completed a $1 billion dollar fundraising campaign. For more information about the University of Maryland, visit www.umd.edu.

Source: University of Maryland

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!

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 have occurred about once a decade. With this in mind, the ISC Read more…

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…

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…

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…

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…

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…

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…

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