NCSA
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report

Tabor Communications
Corporate Video

Blog: From the Editor

From the Editor | Main Blog Index

UltraSPARC T2 Finds a Home in HPC


In all the excitement about the Roadrunner petaflop announcement this week, a bunch of other HPC news got pushed aside. One item that caught my eye was the announcement by the Canadian High Performance Computing Virtual Laboratory (HPCVL) that it had purchased a cluster made up of 78 Sun SPARC Enterprise T5140 servers, which is not a product you hear much about in the HPC space. In fact, it may be the only production system of its kind at an HPC facility.

The T5140 is a dual-socket server that uses the 8-core UltraSPARC T2 processor ("Niagara 2"). The T2 is the follow-on to the T1, which had only one floating point unit shared across its eight cores. When the T2 came along in 2007, Sun had remedied this by adding an FPU to each core, thereby making it suitable for technical computing.

The big deal about the T2 is that it offers lots of throughput in a very energy-efficient package. That's why the T2 servers are aimed mostly at enterprise users with scaled-out Web or data warehouse applications who want to consolidate resources. Since each processor core can handle 8 threads, the 78-node cluster the Canadians bought can juggle almost 10,000 simultaneously. Not bad for less than a 100 nodes.

The knock on the T2, at least for HPC, is a lack of raw performance. Each processor yields no more than 10 gigaflops or so on Linpack, mainly due to relatively slow clock speeds offered with the processor -- in the 0.9 to 1.4 GHz range. If an application can mostly run out of cache, Xeon or Opteron-based machines are going to outperform the UltraSPARC pretty handily.

Where T2 really shines is on highly multi-threaded codes that are limited by memory bandwidth, which is fairly common in real HPC codes. A good example is a PDE (partial differential equations) solver. In these cases, the T2 can make excellent use of the four on-chip memory controllers to speed access to RAM. Aggregate memory bandwidth per chip is advertised at 60+ GB/sec.

Last year, HPC researchers at Aachen University's Center for Computing and Communication (CCC) evaluated a pre-production system of a single-socket T2-based server against Woodcrest, Opteron, and UltraSPARC IV systems, using a number of benchmarks and application codes.

According to them, "The UltraSPARC T2 processor offers an amazing memory bandwidth, if multiple threads can be employed. And when parallelizing with OpenMP, the placement of threads and data is not critical, and also Solaris does a superb job in this respect already, whereas Linux on the Xeon and Opteron based system requires user attention." The complete evaluation by the Aachen group is available here.

If this kind of capability were encapsulated in an x86 processor, these would indeed be popular little chips today. The closest we'll get to an x86 version of the T2 will probably be a low-power, 8-core, Intel Nehalem processor sometime in 2009.

But by that time, Sun is expected to be offering its next-generation SPARC processor, called "Rock." Rock is a 16-core processor that will represent an entirely new architecture. The company says both thread performance and floating point performance will be better than the T2, and the processor will support new technologies like transactional memory and "scout threads." Sun originally wanted to deliver the processors this year, but is now targeting introduction for the second half of 2009.

Posted by Michael Feldman - June 10, 2008 @ 9:00 PM, Pacific Daylight Time

Sponsored Links

Accelerate your science with Seneca
One of the first HPC providers installing a 4X NVIDIA Kepler K-20 cluster. Invites you to a free evaluation on Seneca’s NVIDIA K20 Kepler cluster, pre-loaded with AMBER, NAMD, LAMMPS

High-Performance Computing in Action
Businesses that want to be on the cutting edge of their industries are increasingly turning to high-performance computing (HPC) solutions to handle complex compute processes and speed up their rate of innovation. Download this Executive Brief to see how businesses in energy, life sciences and entertainment put HPC solutions to work in their operations.

Webinar: Programming Heterogeneous X64+GPU Systems Using OpenACC
Join Michael Wolfe as he compares the advantages and costs of using both low-level models and the directive-based OpenACC model for programming accelerated heterogeneous systems. Registration is free.

Michael Feldman

Michael Feldman

Michael Feldman is the editor of HPCwire.

More Michael Feldman


Recent Comments

No Recent Blog Comments

Feature Articles

NSF Forges Further Beyond FLOPs

In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Read more...

CERN, Google Drive Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Saddling Phi for TACC’s Stampede

The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Read more...

Short Takes

Building Supercomputers with Raspberries

May 22, 2013 | At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
Read more...

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

Computing the Physics of Bubbles

May 15, 2013 | Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...

Internet2 Awards Program Seeks Innovative Applications

May 10, 2013 | Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...

Floating Funding to Exascale Island

May 09, 2013 | The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Progress in Parallel: the Bull Parallel Programming Center

04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.

Sponsored Multimedia

SGI DMF ZeroWatt Disk Solution

In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.

Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video

The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.

Blogs by Topics

Blogs by Author

HPC Blogroll

Xyratex

Featured Events


  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States





HPCwire Events