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Site Announcements
- Check out the gpucomputing.net documentation file.
- Join the GPU Computing Research Forum which meets via WebEx the 1st and 3rd Wednesdays of each month from 10 -11 AM Central Time beginning September 15.
- GPU Technology Conference (GTC 2010) - Sumit Schedule Available Online
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Computational Finance
Welcome to the Computational Finance community.
This community covers all aspects of computational finance so I welcome contributions in areas such as option pricing using finite difference and Monte Carlo methods (which will also include random number generation as a sub-topic), as well as other areas such as portfolio optimisation and algorithmic trading.
My own research is primarily in Monte Carlo methods, but I have an extensive background in finite difference and finite volume methods in CFD (computational fluid dynamics). I am working with NAG to develop GPU implementations of random number generators and other numerical routines (see www.nag.co.uk/numeric/GPUs/ ) and I have also created CUDA examples of both Monte Carlo and finite difference methods (see people.maths.ox.ac.uk/~gilesm/hpc/ ).
I hope this site will stimulate a good discussion between academics and those working in industry, on ways of improving the exploitation of GPUs for high throughput computing, and at the same time trying to simplify the programming effort required.
Mike Giles, University of Oxford.
Featured Stories and Papers
Computational finance in academia and industry
In this page I would like to gather together links to activities in computational finance in academia and industry. If you have suggestions of new items to add, or if you find any of the existing links have moved or no longer exist, please let me know (mike.giles@maths.ox.ac.uk)
Academics:
- Mike Giles, University of Oxford
- William Shaw and Claudio Albanese, King's College London
- Tobias Preis, University of Mainz
- Matthew Dixon, UC Davis
- Roger Chamberlain, Washington University in St Louis
Software vendors:
- NAG
- Scicomp
- Quant Catalyst
- Hanweck Associates
- Level 3 Finance
- Arbitragis Trading
- Advanced Derivatives Solutions
Random number generation:
Industry use:
Other sources of information:
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Get CUDA Certified
NVIDIA has launched its first CUDA Certification program.
Be one of the first Certified CUDA Programmers - find out the full details at www.nvidia.com/certification
This exam tests candidates CUDA C programming and optimization skills. This 3 hour test can be taken at over 6500 test centers in over 165 countries.
Discounts are available for companies planning to certify 6 engineers or more. General questions or applications for bulk discounts can be addressed to certification@nvidia.com
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Latest Stories and Papers
Latest Blog Posts
Latest Forum Posts
Latest Code Snippets and Repositories
Featured Events
CUDA course at Oxford, July 26-30
This is a 5-day hands-on course for students, postdocs, academics and others who want to learn how to develop applications to run on NVIDIA GPUs using the CUDA programming environment.
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