China’s Exascale Ambitions

By Tiffany Trader

October 11, 2013

“Beware the sleeping dragon. For when she awakes the Earth will shake.”

— Winston Churchill, speaking about China

For two decades, TOP500.org has published a biannual list of the world’s fastest computing machines. For the first 17 years, the competition for the number one spot was a back-and-forth match between the United States and Japan. But in November 2010, China cracked the coveted pole position with the Tianhe-1A supercomputer.

tianhe-2-dongarra-465x

Tianhe-1, which translates into Milky Way, was developed by the Chinese National University of Defense Technology (NUDT) in Changsha, Hunan. When it was unveiled in October 2009, it was immediately ranked as the world’s fifth fastest supercomputer in the TOP500 list released at SC09. The upgraded Tianhe 1-A, equipped with 14,336 Xeon processors and 7,168 NVIDIA Tesla GPUs, brought the machine’s top LINPACK speed from 563 teraflops to 2.56 petaflops. The boost rocketed the system to the number one spot in November 2010, beating out the University of Tennessee’s Jaguar supercomputer and giving China bragging rights as a technology superpower. It was the first time that a non-US system held the number one spot in six years.

The US came back again in June 2012 with the IBM Sequoia Blue Gene/Q, which had a LINPACK performance of 16.32 petaflops. In November 2012, the title changed hands again, claimed by an upgraded Jaguar – renamed Titan and packing 17.59 petaflops LINPACK. Despite the impressive benchmark, Titan’s reign was short-lived. Seven months later, in June 2013, China reestablished list dominance with its upgraded system, Tianhe-2. With a remarkable 33.86 petaflops LINPACK, the Chinese system beat out second place finisher Titan by nearly a 2-to-1 margin.

China’s Tianhe-2 remains the fastest supercomputer in the world. What’s more, the Tianhe-2 project is two years ahead of schedule. The supercomputer was originally scheduled to be completed in 2015, but the latest reports say that it is expected to be fully operational by the end of 2013.

Consider the technical specifications of this phenomenal computing machine: 16,000 computer nodes, each comprising two Intel Ivy Bridge Xeon processors and three Xeon Phi coprocessors for a total of 3,100,000 cores; 1.4 petabytes of RAM; and a proprietary high-speed interconnect, called TH Express-2, that was designed by NUDT. Tianhe-2 has a maximum power draw of 17.6 megawatts, with an additional 24 megawatts allocated for cooling.

A recent Guardian article explores what China’s still-emerging supercomputing prowess tells us about the country’s absorptive state. The United States is still the world’s leading supercomputer power with 252 top 500 systems, but China is catching up – with 66 of the top 500 supercomputers. The Institute of Electrical and Electronics Engineers asserts that Tianhe-2’s win “symbolizes China’s unflinching commitment to the supercomputing arms race.”

The race to build the first exascale supercomputer is still in progress and the US, EU, Japan, India, Russia and China have all expressed their intentions to reach this goal. But most experts, according to the Guardian piece, say the odds are in China’s favor. It’s been two years since Obama called on Americans to come together for “our generation’s Sputnik moment” during his 2011 State of the Union address, but the response from funding bodies has been lackluster. An exascale plan was only recently submitted to Congress and no new funds have been granted yet.

China by contrast has maintained a targeted investment strategy, spending approximately $163 billion USD on R&D in 2012. Since 2008, it has increased funding by 18 percent each year at the same time as other countries’ budgets were flatlining.

Even though China can claim the leading system, it has had to rely on US technology to do so. This is a key point of the Guardian article, which was penned by James Wilsdon, professor of science and democracy at the University of Sussex; Kirsten Bound, head of international innovation at the independent UK charity Nesta; and Tom Saunders, a policy and research analyst at Nesta.

“In one sense, Tianhe-2 is an achievement that the Americans should be every bit as proud of as the Chinese,” write the authors. But China is hard at work designing and manufacturing its own technologies and most experts agree that it won’t be long before China produces its first 100 percent home-grown supercomputer.

China is particularly adept at absorbing, adapting and improving on foreign-developed technologies. Supercomputing is one of the main sectors this kind of absorptive process is taking place, but it’s also occurred in other high-profile cases, for example high-speed rail network, advanced nuclear reactors and space exploration.

Note the authors: “These examples suggest that what China’s President Xi Jinping has termed ‘innovation with Chinese characteristics’ will not be a straightforward path from imported to home-grown innovation, but a messier process in which the lines between Chinese and non-Chinese ideas, technologies and capabilities are harder to draw.”

The Nesta report, China’s Absorptive State: research, innovation and the prospects for China-UK collaboration, will be available next week, scheduled to coincide with the first high-level UK government delegation to Beijing for over a year.

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