Eurotech Claims Lean, Green Victory

By Nicole Hemsoth

June 28, 2013

The Green 500 results are in and while a good portion of the list wore its Blue Genes proudly, as expected for this sort of event, there were a couple of surprises at the very top.

European system vendor Eurotech showcased two systems on the Top 500 this year, both of which were bred in Italy–and both of which secured the top two positions. Also of note is that fact that each of these systems had a GPU boost to their bottom performance line. 

While the real honor on the Green 500 is when companies wrangle high core counts, accelerators and high Top 500 ranking into a tight power envelope, Eurotech succeeded in making its only two systems on either list count, despite their small size and relatively low performance ranking.

The king of the Green machines is the Eurora system at CINECA, Italy’s largest supercomputing system, which is also home to the #12-ranked Fermi Blue Gene/Q which has had a strong showing on previous Green and Top 500 lists, as one might expect from a 163,840-core powerhouse using IBM’s notoriously efficient architecture. The center has a total of 3 Top 500 supers, the other two of which emphasize efficiency via IBM architecture (Blue Gene/Q and iDataPlex)–and then, of course Eurora. 

The Eurora system may have been top place for the Green 500, but with 2,688 cores, it just flopped its way onto the Top 500, coming in at #467. Although it was no titan system, there were not any huge surprises about this top efficiency ranking–the news that it hit the 3,150 megaflops per watt high was announced earlier this year, promising to upset the competition barring any surprises. 

The system taps 128 NVIDIA Tesla K20s inside Eurotech’s Tigon box, which uses the company’s native hot water system to cool the main electrical guts (and heat a companion building if desired). As Eurotech describes, their supercomputer makes use of “direct water cooling and electronics design [that] allow for very high densities to be reached with a peak performance of 350 TFlops/per rack.

And to hedge its bets against any surprise upsets to their Green victory, close on the efficiency ranking heels was the other Eurotech GPU system at Selex Elsag. This one, like its champion, is based on Eurotech’s Tigon supercomputer. While close in megaflops per watt (3179) it also had higher in performance, coming in at at #395 on the Top 500. Again, it also sports a relatively low core count–under 10,000 but it makes up for that in performance with a boost from the K20 side. 

Eurotech said today that when it comes to “green” implications, the “100 TFlop Eurora system, when compared to an equivalent performance air cooled system, brings a reduction of more than 2,3000 tons of CO2 emissions per rack in 5 years.”

From the outside looking in on both the Green and Top 500 lists it might seem that GPUs offer some kind of performance and efficiency gain. While NVIDIA understands that these are small, speciality clusters designed to perform well in just this type of benchmark, they do point to the notion that these results “establish GPU accelerator advantage versus CPUs and other accelerators for energy efficient high performance supercomputing.”

The fact remains that a comprehensive view of the Green 500 reveals a much larger truth–that IBM still takes the efficiency cake. 

On a side note, if you’ll recall, last year, NIC’s Beacon system took charge of the Green list with 2,499 MFlops per watt compared to the 3,208 and 3,179 ratings for the top two Italian systems from this year. This a notable improvement, but recall that the Xeon Phi-powered Beacon sported a MFlops per watt ranking of 2499. It remains the third-place titleholder. 

It’s hard to argue with this fact, especially if you disregard any specialty purpose nature of these two systems. The GPU top slot holders rather far outrank the efficiency of the next-in-line Xeon Phi-based system in France and knock the Phi-powered Beacon off its perch rather effectively. 

“Raw performance is no longer the exclusive measure of the value and impact of supercomputers,” said Sumit Gupta, general manager of the Tesla Accelerated Computing Business Unit at NVIDIA. “All future systems will need to deliver higher performance with reduced power consumption. With GPU accelerators in the top two spots, the latest Green500 list demonstrates accelerators’ ability to deliver unmatched levels of energy-efficient supercomputer performance for next-generation systems.”

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…

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