Nvidia
CSCS Top Right Frontpage
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

Gird Your Loins Google, Here Comes Wolfram Alpha


Last week, Mathematica inventor Stephen Wolfram announced that he would be launching a new kind of Internet search engine in May, with the not-so-modest name of Wolfram Alpha. Actually it isn't a search engine at all -- it's more like a fact-finding engine. Wolfram himself calls it a "computational knowledge engine," which is meant to convey the idea that the software will be computing results, rather than just indexing Web pages based on keywords.

So presumably you could ask Alpha a question like "When was the last time SGI's stock was above $10 a share?" and Alpha would go fetch -- sorry, compute -- the answer. (By the way, the answer is Oct. 8, 2008.) Usually queries like that would only be possible with highly-specialized database applications. Alpha aims to generalize that kind of capability using only the unstructured data that exists on the Web. If Wolfram has really succeeded in doing this, it would introduce an entirely new kind of Web interaction.

Well, maybe not entirely new. Even Google lets you do simple math calculations in its search box and allows you to find definitions of words by using a "define:" prefix on a keyword. But the scope of Alpha is much larger.

Wolfram provided few details on how his new software would be implemented and made no mention if he had a supercomputer in his basement to do all this computational heavy lifting. The basic idea is that you would present a question to the Alpha box (which coincidentally looks a lot like Google's search box). Alpha would then untangle the semantics of the question, map it to the desired operation and then go distill the answer from the available data.

The last step is the most mysterious part. Whereas some people have suggested that the Web's data needs to be systematically tagged to make it semantically friendly, Wolfram has apparently taken a different tack. He says the engine will be based on Mathematica and the computational approach outline in his 2002 book, A New Kind of Science (NKS) to provide the engine's intelligence. In a nutshell, NKS describes a way of applying a general set of methods to computational systems, the idea being that a great deal of complexity is able to arise from a very simple set of rules.

If that's not obtuse enough for you, Wolfram says the Alpha engine will "explicitly implement methods and models, as algorithms, and explicitly curate all data so that it is immediately computable." I'm not at all sure what he means by "curate all data" other than reorganizing the Web data on the fly so that it's more digestible to the software. Any way you look at, Alpha's going to need a lot of smarts to do even basic fact finding, especially considering that there's no way to verify the accuracy of data encountered on the Web.

All of this might be passed off as worthless hype, except for the fact that Wolfram has plenty of street cred in the industry. As the founder and CEO of Wolfram Research, he has built a highly successful business based on a very useful piece of software. Before his success in business, Wolfram was an accomplished scientist in his own right, having received his Ph.D. in particle physics from Caltech at the age 20. His NKS book opened to mix reviews, but the ideas presented in the text show he can still plumb the depths of computational theory and mathematical modeling.

I'm anxious to see how Alpha performs in the wild. If it lives up to even a fraction of the hype it has generated, Alpha is destined to become a common Web tool like Google and Wikipedia. And maybe someday, when your son or daughter asks you why the sky is blue, you'll say: "Let's wolfram it."

Posted by Michael Feldman - March 11, 2009 @ 1:25 PM, Pacific Daylight Time

Sponsored Links

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.

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.

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

Michael Feldman

Michael Feldman

Michael Feldman is the editor of HPCwire.

More Michael Feldman

Supermicro

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...

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


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