Visit additional Tabor Communication Publications
June 03, 2008
It was almost exactly one year ago when Cray announced it was lowering its 2007 revenue projections after it learned that AMD would not deliver its quad-core Opteron 'Budapest' processor on schedule. Budapest is the one-socket, 1300 series Opteron that will inhabit workstations, low-end servers, and Cray supercomputers. To Cray, the chip delay meant that its delivery of quad-core equipped XT4 supercomputers for ORNL and other customers would be pushed into 2008, killing the company's chances for a profitable 2007. Little did anyone know at the time that the Budapest slip was just a prelude to the larger Opteron fiasco that would play out over the next six months.
Cray had first dibs on the early Budapest processors, but not in time for any 2007 revenue. It wasn't until May 2008 that the supercomputer maker announced it had completed the upgrade to the Oak Ridge National Laboratory 'Jaguar' super with the new quad-core parts. The Budapest chips more than doubled the performance of the ORNL system to a total of 260 teraflops.
But it wasn't until today that AMD finally announced the introduction of the Budapest chips into general circulation -- eight months after the ill-fated Barcelona was launched. A TLB bug discovered toward the end of 2007 forced a relaunch of the multi-socket Barcelonas early in 2008 and undoubtedly pushed out the timeline for their single-socket brethren.
AMD might have given more priority to the Budapest schedule, but that really didn't play to the company's strength. In general, AMD is less competitive in the single-socket server space than it is in the multi-socket one, since the advantages of its Direct Connect Architecture are less pronounced for single processor systems. According to IDC, in Q108 Opterons inhabited 14.3 percent of all single-socket x86 servers (23.7 percent in the U.S.). The remainder are hosting Intel parts.
AMD is planning to introduce the single-socket quad-core 'Suzuka' as the 45nm replacement for 65nm Budapest by the second quarter of 2009. At this time, AMD has no roadmap to go beyond four cores on a single-socket Opteron platform. This leaves AMD's post-2010 future with Cray in doubt, especially considering Cray and Intel are now in cahoots.
One last data point. The former HPC marketing director at AMD, David Rich, resurfaced today at Interactive Supercomputing, where he will serve as vice president of marketing. At AMD, Rich developed the company's cluster market strategy and helped to secure some big HPC wins at Sandia National Laboratories (Red Storm) and the Shanghai Supercomputer Center (Dawning 4000A). Along with CTO Phil Hester's departure from AMD in April, the company seems less and less committed to the high performance computing market than ever.
Posted by Michael Feldman - June 02, 2008 @ 9:00 PM, Pacific Daylight Time
Michael Feldman is the editor of HPCwire.
No Recent Blog Comments
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
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..
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).
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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.
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.
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.
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.
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.
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.
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.