Thanks for posting the link to that talk.  That is definitely up my
proverbial alley and I should probably even circulate it around at work.

-Johann

Devon McCormick <[email protected]>
writes:

> I'm going to a meeting about using GPUs as this is something in which I've
> been interested for some time now: http://events.thalesians.com/ .  I'd be
> interested in hearing other concerns people have about the general
> applicability of GPUs to programming problems.
>
> Here's the abstract of the talk to be given:
>
> This talk will discuss the application of Monte Carlo methods to a GPU
> implementation of the LIBOR Market/BGM Model.  In the process we will
> discuss random number generation and inverse normal distribution functions
> designed for execution on the GPU.  We will demonstrate how some level of
> abstraction can be implemented to obtain hardware agnostic code.  We will
> also briefly discuss the limitations of the GPU for the BGM model and point
> at opportunities for the use of GPUs in the credit analytics space.
> Resources, including open source code focused on BGM implementation in CUDA,
> will be identified and used for illustration purposes to help jumpstart the
> GPU development work.
>
> SPEAKER
>
> Peter heads the Rates Group at Quantifi. As Director, Peter is responsible
> for managing the product development process of all Rates and Hybrid
> Solutions within the Quantifi product suite. Peter started in Research and
> Technology at Bear Stearns and Deutsche Bank. He traded fixed income
> derivatives, government bonds and agencies for Lehman Brothers and Salomon
> Brothers. He was responsible for fixed income derivatives trading desk for a
> number of European banks. Most recently he refocused on technology and
> specifically concentrated on machine learning and high frequency trading on
> parallel systems prior to joining Quantifi in 2009.
>
> On Tue, Mar 1, 2011 at 4:52 PM, Raul Miller <[email protected]> wrote:
>
>> On Tue, Mar 1, 2011 at 4:36 PM, Alex Gian <[email protected]>
>> wrote:
>> > Thing is, with these modern GPU cards, usually on a PCI-Express bus, is
>> > that you can have as many as you like...
>> >
>> > Also it's not OpenGL that you'll be using to implement anything, more
>> > likely OpenCL (looking good currently, very C-like)
>> > http://www.khronos.org/opencl/
>> > or NVIDIA's CUDA.
>>
>> The thing that bothers me about CUDA is that not only is it locked
>> into one vendor, but that you apparently have to know which card you
>> are programming against to get anything meaningful done (though that
>> might have changed since I last tried to figure it out, or maybe my
>> initial impression was wrong).
>>
>> But OpenCL looks promising.
>>
>> --
>> Raul
>> ----------------------------------------------------------------------
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>>

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