Exascale unlikely before 2020 due to budget woes
Prototype systems still eyed for 2018, but only if Congress approves billions in funding, say U.S. DOE officials
Computerworld - SALT LAKE CITY, Utah -- The U.S. Dept. of Energy, which builds the world's largest supercomputers, is now targeting 2020 to 2022 for an exascale system, two to four years later than earlier expectations.
The new timeframe assumes that Congress will fund the project in the fiscal 2014 budget. The White House will deliver its budget request to Congress early next year for fiscal 2014, which begins next Oct. 1.
Despite a belief among scientists that exascale systems can help deliver breakthrough scientific breakthroughs, improve U.S. competitiveness and deepen the understanding of problems like climate change, the development effort has so far received limited funding -- nowhere near the billions of dollars likely needed.
Experts had previously expected an exascale system to arrive in 2018. Those expectations were based, in part, on predictable increases in compute power.
In 1997, the ASCI Red supercomputer built by Intel and installed at the Sandia National Laboratory broke the teraflop barrier, or one trillion calculations per second. ASCI Red cost $55 million to build.
By comparison, Intel's just released Phi 60-core co-processor, which is also capable of one teraflop, is priced at $2,649.
In 2008, a decade after ASCI Red debuted, IBM's Roadrunner began operating at Los Alamos National Labs. Roadrunner operated at petaflop speeds, or 1,000 trillion (one quadrillion) sustained floating point operations per second.
The next leap, an exaflop, is 1,000 petaflops.
The DOE is working on a report for Congress that will detail its "Exascale Computing Initiative" (ECI). The report, initially due in February, is expected to spell out a plan and cost for building an exascale system.
William Harrod, research division director in the advanced scientific computing in the DOE Office of Science, previewed the ECI report at the SC12 supercomputing conference held here last week.
"When we started this, [the timetable was] 2018; now it's become 2020 but really it is 2022," said Harrod.
"I have no doubt that somebody out there could put together an exaflop system in the 2018-2020 timeframe, but I don't think it's going to be one that's going to be destined for solving real world applications," said Harrod.
China, Europe and Japan are all working on exascale initiatives, so it's not assured that the U.S. will deliver the first exascale system.
China, in particular, has been investing heavily in large HPC systems and in its own microprocessor and interconnects technologies.
The U.S. set up some strict criteria for its exascale effort.
The system needs to be relatively low power as well as be a platform for a wide range of applications. The government also wants exascale research spending to lead to marketable technologies that can help the IT industry.
The U.S. plan, when delivered to Congress, will call for building two or three prototype systems by 2018. Once a technology approach is proven, the U.S. will order anywhere from one to three exascale systems, said Harrod.
Exascale system development poses a unique set of power, memory, concurrency and resiliency challenges.
Resiliency refers to the ability to keep a massive system, with millions of cores, continuously running despite component failures. "I think resiliency is going to be a great challenge and it really would be nice if the computer would stay up for more than a couple of hours," said Harrod.
The scale of the challenge is evident in the power goals.
The U.S. wants an exascale system that needs no more than 20 megawatts (MW) of power. In contrast, the leading petascale systems in operation today use as much 8 or more MW.
- In exascale, Japan stands apart with firm delivery plan
- Here comes a supercomputing app store
- An HPC champion helps Trek Bicycle shift gears
- D-Wave pitches quantum co-acceleration to supercomputing set
- Why the U.S. may lose the race to exascale
- Top500 shows growing inequality in supercomputing power
- Supercomputing's big problem: What's after silicon?
- Cray brings Hadoop to supercomputing
- Intel rushes to exascale with redesigned Knights Landing chip
- China still has the fastest supercomputer in the world
- Hadoop for Dummies Today, organizations in every industry are being showered with imposing quantities of new information. Along with traditional sources, many more data channels and...
- The Top Five Ways to Get Started with Big Data Despite the increased focus on big data over the past few years, most organizations are still talking about what big data is rather...
- Data Warehouse Augmentation: The Queryable Data Store While organizations have, to date, been busy exploring and experimenting, they are now beginning to focus on using big data technologies to solve...
- The IBM Big Data Platform IBM is unique in having developed an enterprise class big data platform that allows you to address the full spectrum of big data...
- Live Webcast Best Practices: How to Improve Business Continuity with Virtualization VMware solutions include a range of business continuity capabilities to help ensure availability for applications across your virtualized environment. Learn More>>
- Cloud Knowledge Vault Learn how your organization can benefit from the scalability, flexibility, and performance that the cloud offers through the short videos and other resources...
- Endpoint Data Management: Protecting the Perimeter of the Internet of Things Not surprisingly, "Internet of Things" (IoT) and Big Data present new challenges AND opportunities for enterprise IT. Teams need to harness, secure and... All Data Center White Papers | Webcasts