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FPGA-accelerated financial analytics get real

Automated trading and near-real-time financial analytics have been hot topics for some years now. Large organizations such as Bank of America deploy massive compute clusters to do such things as calculate the present value of options, or to model credit derivatives, in a virtual arms race to make trades with ever-higher levels of accuracy and ever-lower latencies. The banks and hedge funds that win this race each day have the potential to make millions or billions of dollars in extra profits. Vast amounts of power are consumed to drive the world’s most advanced supercomputers in a constant quest to produce, well, nothing at all… Just information used to move wealth from one global pants-pocket to another.

And all in the pursuit of market efficiency, of course. Hopefully all this money-shuffling is good for my meager retirement portfolio.

Editorializing aside, there has been a lot of buzz about the role of accelerators, including FPGAs, in financial applications. XtremeData this week generated some press regarding their new accelerated database for analytics. Their solution is attractive because it combines an FPGA module with an industry-standard HP Proliant server to accelerate specific algorithms (in this case SQL queries) by 15X over software-only equivalents.

As an industry, we need more turnkey solutions that highlight the benefits of FPGA acceleration. With enough such applications out there, the demand for programming and hardware platform solutions for other, possibly unrelated applications will increase.

Assuming, of course, all this financial alchemy doesn’t once again turn gold into lead.

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