Supercomputers When They Sizzle

By Michael Feldman

July 15, 2010

Summer is heating up, and so are our supercomputers. The insatiable drive for more computational performance means servers are becoming ever denser, and correspondingly hotter. Today, a rack of high-end blades can dissipate 30 kilowatts or more. And with the era of coprocessor acceleration upon us, many HPC servers are being fitted with 200-watt GPUs, further adding to the heat load.

This wouldn’t matter so much if we kept our machines in the pool, but air being what it is (a poor conductor of heat), the burden on the cooling infrastructure keeps escalating. Keeping the machinery at a comfortable temperature can represent from a third to a half of a facility’s power consumption. Even with the most recent recommendations from the American Society of Heating, Refrigerating and Air-conditioning Engineers (ASHRAE) to crank up the datacenter thermostat from 77F to 80F, HPC machine rooms are reaching their thermal limits.

That’s why liquid cooling has been such a big part of supercomputing. These machines, especially the proprietary designs, have always been on the leading edge of computational density, and sometimes wouldn’t survive on air flow alone. In fact, since the days of the early Cray systems in the 1970s, a lot of the top-end supercomputers have had water or some other liquid coolant running through the hardware. That’s why the father of supercomputing, Seymour Cray, referred to himself as “an overpaid plumber.”

A couple of recent stories point to a new direction for liquid cooling. Instead of just running coolant through the racks, it’s now being funneled directly onto the hottest components: the processors themselves. IBM’s Aquasar supercomputer, which was recently delivered to the Swiss Federal Institute of Technology Zurich (ETH Zurich), is an example of one such system.

The 6-teraflop Aquasar machine uses customized water-cooled BladeCenter servers that sport both Intel Nehalem CPUs and IBM PowerXCell processors. Water is piped into a heat exchanger that sits right on top of the chips. Because of the intimate contact with the processors, the water does not need to be chilled, and can be as warm as 60C. That’s 140F for those of you keeping score in the USA. The idea is to keep the processors below their critical maximum of 85C (185F).

At ETH Zurich, the heated (waste) water is piped away to help warm the buildings at the facility. IBM claims the carbon footprint of such a system is reduced by as much as 85 percent compared to a conventionally-cooled computer setup.

A more general case involves what Google is doing — or thinking about doing. The company recently filed to patent a server assembly design in which two motherboards sandwich a liquid-cooled heat sink. In this setup, the processors are being cooled via the heat sink, while the other components, like the memory chips, are air cooled. According to a report in Data Center Knowledge:

The design is among a number of Google patents on new cooling techniques for high-density servers that have emerged since the company’s last major disclosure of its data center technology in April 2009. Several of these patents deal with cooling innovations using either liquid cooling or air cooling applied directly on server components.

In 2007, Google filed a patent for a different sort of liquid-cooling arrangement. The “Water Based Data Center” design outlined sea-based computing facility that floats on the water, employs the waves to help generate electricity, and uses the sea water to help provide cooling for the computers. That patent was granted in May 2009.

Perhaps an even more novel method is immersion cooling, in which the whole server is submerged into an inert liquid, such as mineral oil. That too, is not a new concept. Some of the early supercomputing systems, including the Cray-2*, used immersion cooling. A modern version is being offered by Austin, Texas-based Green Revolution Cooling, which claims its horizonal rack design and “GreenDef” oil coolant can manage power densities as high as 100 kilowatts per rack. Bring on the GPUs!

The company is claiming its immersion system uses 95 percent less power than conventional cooling. Some of that can be attributed to the fact that all the internal server fans can be yanked out, which alone should reduce the power draw by 5 to 25 percent. The company recently installed some test units at the Texas Advanced Computing Center (TACC). If the Green Revolution offering pans out as advertised, maybe we’ll see more supers taking the plunge.

*The original post incorrectly specifed Cray-1 as one of the early supercomputers using immersion cooling.  It was the Cray-2 design that introduced this cooling design. Hat tips to readers Richard Lakein and Max  Dechantsreiter for pointing out the gaffe. — Michael

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: 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…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's 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 Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t 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…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark 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…

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