Numerical computations widely used in quantitative finance can be harassing for standard servers and CPUs. Hence it is natural to consider to use dedicated hardware. The names that come often that for are "FPGA" and "GPU".

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Using OpenCL video cards to offload Quant Finance calculations, what features should I look for?

I'm benchmarking some software and am looking for cards that are better at parallel multiplication vs parallel addition. Is there any prior work that may have this information? What GPU features ...
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Reference request: Survey article on GPU in Finance

I would like to get and idea of how people use GPUs in finance. I can find some specific papers or books on the subject. GPUs in binomial model, finite difference, monte carlo,... But I couldn't ...
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Limit order book size

I am trying to write a highly optimised limit order book and I wondered what sort of size I can expect for: Range of limit prices Number of orders at each limit price I am developing custom ...
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What kind of specialized hardware is used in trading?

What kind of computer hardware, in additional to the 'conventional' fare, is actually used in trading? And what languages is it typically programmed in? I'm interested in ASICs, FPGAs, that sort of ...
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What are some computational bottlenecks that quants face? [closed]

What are the current computational (non-network) bottlenecks now in a quant's workflow? What computational tasks would be revolutionary with a 10-100x improvement in performance using general purpose ...