HPCwire

Leading HPC
Solution Providers




















HPCwire >> Special Features >> ISC >> ISC Off The Wire

Supercomputer JUGENE Still on Top of the World


Page:  1  of  2
1 | 2   All  »  

With 180 teraflop/s Jülich's supercomputer occupies sixth place in world ranking / Plans for new supercomputers

Jülich / Dresden, Germany, June 18 -- In the TOP500 list of the world's fastest computers published today, Jülich's JUGENE computer was able to defend its position as Europe's fastest computer. Overall, it took a good sixth place -- beaten only by five supercomputers from the US. Jülich computer scientists are making long-term plans to secure their place in the top group.

"We want JUGENE and its successors to continue to play in the big league," says Prof. Thomas Lippert, head of the Jülich Supercomputing Centre. "After all, the requirements of the large number of groups who use our computing facilities are continuously growing." About 200 research groups from all over Europe use the Jülich supercomputers as tools in order to achieve new insights for their work. The research topics range from the formation of galaxies to protein folding and improved materials.

In order to continue to keep up with demand for computing time, the dual concept of Forschungszentrum Jülich -- a member of the Helmholtz Association of National Research Centres -- will be further expanded. On the one hand, computers of the highest performance class such as JUGENE (Jülich Blue Gene) will be available for applications requiring the greatest number-crunching power. On the other hand, supercomputers with a high data throughput such as JUMP (Jülich Multi-Processor) will be used for data-intensive applications such as climate research. "We are seeking to establish contacts with the IT industry at an early stage for this further development," adds Lippert. "In this way, we will be able to ensure that user requirements are considered in hardware developments, and, vice versa, that existing algorithms are adapted to the benefits brought by coming architectures."

At the moment, the Jülich computer scientists are planning to develop their dual concept as follows. A cluster computer for data-intensive applications known as JuRoPA (Jülich Research on Petaflop/s Architectures) will be put into operation by early 2009 and will replace the JUMP computer. It will incorporate Xeon processors from Intel and a fast network from Quadrics. The connection of about 16,000 processors will enable the computer to achieve a power of more than 200 teraflop/s.

In the medium term, JUGENE is scheduled to be replaced by a computer capable of breaking the 1 petaflop/s barrier. A decision has not yet been taken on the chip architecture. "From users we have received very positive feedback on JUGENE for the Blue Gene/P system," says Lippert. JUGENE was officially put into operation in February and has already demonstrated that it can be used for a wide range of research topics.

"At the same time, we are of course also testing the cell technology as applied in the new front runner of the TOP500 list, Roadrunner," adds Lippert. At the beginning of June, an 8 teraflop/s prototype called JUICEnext was installed in Jülich. It is based on 70 IBM PowerXCell 8i processors and two fast networks -- one based on Infiniband and one on Ethernet. "Even this small system will help us to discover the most effective way forward for petaflop/s computing in Germany."

Links

Press release 12 Nov 2007
Press release 22 Feb 2008
Our brochure on supercomputing (PDF, 2.3 MB)
Supercomputers and simulation science in Jülich
List of the world's fastest supercomputers

About Forschungszentrum Jülich

Page:  1  of  2
1 | 2   All  »  

Article Tools

  • Print This Page
  • Bookmark This Article

Share Options

(Digg, Technorati, more)


Subscribe

Discussion

There are 0 discussion items posted.  

Sponsored Links

New Paper: Parallel Computing Without Parallel Programming
Learn how domain experts can run VHLL programs like MATLAB® on a variety of high-performance platforms without low-level reprogramming and how to work with the largest datasets and complex algorithms without sacrificing ease of use or reducing productivity.



Feature Articles

Spider Up and Spinning Connections to All Computing Platforms at ORNL

Spider, the world's biggest Lustre-based, centerwide file system, has been fully tested to support Oak Ridge National Laboratory's new petascale Cray XT4/XT5 Jaguar supercomputer and is now offering early access to scientists.
Read More...

Wolfram Alpha: A Web-Based Application That Embraced Supercomputers

Wolfram Alpha, the Web-based computational engine introduced in May, is not a traditional supercomputing application, but relies on supercomputers to satisfy its unique requirements.
Read More...

TeraGrid '09: Student Participation Soars

There was a new energy at this year's TeraGrid '09 conference thanks to an outstanding turnout for the student program. Thanks to support from the National Science Foundation, more than 100 high school, undergraduate and graduate students were able to participate in the conference.
Read More...

Top Headlines

3D Seismic Data: Taking a Smarter Approach to Interpretation

Jul 09 | Engineer Live | The demand for computational tools to underpin the 3D seismic interpretation process has never been more apparent. Read more...

Engineering Unemployment Soared in 2Q to 8.6%

Jul 08 | EE Times | Unemployment for U.S. engineers has reached record levels, according to government figures. Read more...

Gartner Adjusts 2009 IT Spend Downward Again

Jul 08 | Network World | Global spending for 2009 projected to drop 6 percent, for a total of $3.2 trillion. Read more...

Concurrent and Parallel Are Not The Same

Jul 08 | Linux Magazine | Portability or efficiency? Neither is guaranteed when writing explicit parallel code. Read more...

800 TFLOP Real-Time Ray Tracing GPU Unveiled, Not for Gamers

Jul 07 | Ars Technica | Japanese company builds custom ASIC to accelerate real-time ray traced rendering for the auto industry. Read more...

Featured Whitepapers

Parallel Computing Without Parallel Programming

Jul 10 | | Engineers, scientists, and other domain experts depend on the productivity enabled by very high-level language (VHLL) tools like MATLAB® and Python. However, as datasets grow larger and programs get more sophisticated, ordinary desktop computers can no longer keep up. The paper explores how to run VHLL programs on high-performance platforms without low-level reprogramming. Work with large datasets and complex algorithms without sacrificing ease of use or reducing productivity.

Building High Performance Computing in a Green and Modular Solution Building Block

Apr 14 | | Many HPC IT departments are feeling the rising pressure to deliver more capacity computing and performance while trying to reduce the total cost of ownership. This white paper discusses how an environmentally-friendly and open-standards HPC building block based computing system using flexible interconnect options helps address capacity computing needs.

Multimedia

Webcast: Dell Expands HPC Access and Adoption with Intel Cluster Ready Program


Source: Addison Snell, GM/VP, Tabor Research; sponsored by Dell

Many organizations that could benefit from the use of HPC clusters find that it is complicated to get the systems up and running because of limited IT resources or the complexities of the clusters themselves. Learn how the Intel Cluster Ready program, for which Dell was an original partner, seeks to address this challenge for entry level and mid-range HPC users.

Video White Paper: Architecting a Better Network Storage Solution

BlueArc's Titan architecture represents an evolutionary step in file servers by creating a hardware-based file system that can scale bandwidth, IOPS, and overall data capacity well beyond conventional software-based devices. With its ability to virtualize a massive storage pool of up to four usable petabytes of tiered storage, Titan can scale with growing data requirements, offering a competitive advantage for businesses, researchers, or other enterprises seeking to better manage data growth while still ensuring optimal performance.

Webcast: HPC Development Solutions: Sun Studio & Sun HPC ClusterTools


Sun Studio Compilers and Tools and Sun HPC ClusterTools allow you to create high performance parallel applications for OpenSolaris, Solaris and Linux. Sun Studio Express 11/08 includes MPI performance analysis capabilities and full OpenMP 3.0 compiler support. Learn about all this and the latest in Sun HPC ClusterTools 8.1.

Special Feature: ISC'09

Newsletters

Stay informed! Subscribe to HPCwire email Newsletters.






HPC Job Bank


Featured Events

WORLDCOMP 2009
Data Mining Courses