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Graphics Chips Help Process Big Data Sets in Milliseconds

41 点作者 robabbott超过 11 年前

4 条评论

digitailor超过 11 年前
It's cool that it's essentially a consumer-participatory GPU database, but every time I read about GPU crunching I'm underwhelmed. The power waste and cost is absurd. FPGAs have become as capable, or more, than GPUs at a ridiculously higher level of efficiency. I understand that this platform is about technology accessibility... but having casual computer users burning their graphics card 24/7 seems cute but irrelevant to current methods of supercomputation. I find a lot of people who care about efficient natural resource usage don't think twice about very wasteful computing. Those watts are a whole lot of coal.
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polskibus超过 11 年前
I wonder how it compares to: <a href="http://wiki.postgresql.org/wiki/PGStrom" rel="nofollow">http:&#x2F;&#x2F;wiki.postgresql.org&#x2F;wiki&#x2F;PGStrom</a><p>(in terms of architecture, not performance benchmarks)
robabbott超过 11 年前
In addition to GPU, Cray has recently added the Intel Phi coprocessor to its XC30 Cascade supercomputers (<a href="http://investors.cray.com/phoenix.zhtml?c=98390&amp;p=irol-newsArticle&amp;ID=1860101&amp;highlight=" rel="nofollow">http:&#x2F;&#x2F;investors.cray.com&#x2F;phoenix.zhtml?c=98390&amp;p=irol-newsA...</a>). I think that this supports the argument that certain problems are better handled on traditional processors than on GPGPU platforms.
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justin66超过 11 年前
Has the guy released any code yet?
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