Visit additional Tabor Communication Publications
August 20, 2009
When Geoffrey Noer, senior director of product marketing at SGI, told me last month that they "have not discontinued any of the products and have no immediate plans to do so," apparently the word "immediate" just referred to that particular moment. If we are to believe the latest rumor dug up by VizWorld, SGI has jettisoned the graphics visualization group, and with it, the VUE product line. According to VizWorld editor Randall Hand:
I’m hearing from people within SGI that, as of Monday, the entire graphics division has been eliminated. That includes everyone from the Vice President of the graphics division on down to the engineers.
As we reported last year, when the product line was unveiled, VUE, which stands for visual user experience, is (or was) SGI's all-encompassing software suite to bring visualization technology to their customers. The basic idea was to provide a common visualization environment across hardware platforms, so as to be able to "visualize anything anywhere, at any time, on any device." Big ambition.
When I asked SGI to comment on the VizWorld report, they pointed me to CEO Mark Barrenechea's blog which appeared on Wednesday evening. Unfortunately, his comments make no mention of the status of the visualization group nor the VUE product line. It was mostly an explanation of how GPUs are bringing visual and high performance computing to the masses, and how SGI is going to leverage the heck out of them. Great, but we already sort of knew that.
Toward the end of his blog entry, there is a hint of how SGI may have shifted its approach to visualization. After extolling the virtues of GPUdom, Barrenechea concludes:
This is why we are focused on working closely with nVidia and ATI/AMD and Intel many-core Larrabee, integrating their advanced graphics technology into our core platforms versus writing software to replace the GPU. When speed truly matters, put it in hardware.
I'm not sure to what extent the VUE software was actually replacing GPU hardware. The PowerVUE and SoftVUE offering were supposedly being designed to do software rendering on large servers using the CPU, so perhaps this is part of it. My guess would be that SGI got a good look at the GPU roadmaps from the vendors and decided that the VUE software was soon going to be made obsolete by the capabilities of the next generation of GPUs. But if true, why not just say so?
As of this writing SGI's VUE Web page is still up and running, complete with videos and product briefs. So if you want to pay homage to the company's visualization work, I'd encourage you to do so quickly.
Posted by Michael Feldman - August 20, 2009 @ 6:04 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.