pricing derivatives


A Seminar on GPU-Accelerated Derivative Pricing and Risk Models
Frankfurt am Main, Wednesday, January 20, 2010
Presented by SciComp Inc. and NVIDIA Corporation

SciFinance automatically generates GPU-enabled pricing & risk model source code that runs up to 220x faster than serial code using NVIDIA Tesla GPUs.

Find out more about creating GPU-enabled pricing and risk models by signing up for this FREE seminar.

A Seminar on GPU-Accelerated Derivative Pricing and Risk Models in Frankfurt am Main
When: Wednesday, January 20, 2010
17.00-18.00 hour
Reception to follow
Where: Auditorium der Commerzbank AG
Große Gallusstraße 19
D-60261 Frankfurt am Main, Germany

Please sign me up for this free seminar: (* required fields)

First Name  *clear

 clear

Last Name  *

  

Email address *

  

Phone Number *

  

Company Name  *

  

Industry Type  *

  

Org Type  *

  

Department

  

Job Function *

  

Street Address  *

  

City *

 

State, Post Code*

 

Country *

  

Where did you hear about this event?

  


Questions:


 

For more info:

SciComp Inc. NVIDIA
Grey Line
SciComp Inc., 5806 Mesa Drive, Suite 250, Austin TX 78731, 512-451-1050, www.scicomp.com

NVIDIA Corporation, 2701 San Tomas Expressway, Santa Clara, CA 9505, 408-486-2000, www.nvidia.com


©2010 SciComp Inc. SciFinance is a registered trademark of SciComp Inc. NVIDIA, the NVIDIA logo, CUDA and Tesla are trademarks or registered trademarks of NVIDIA Corporation in the United States and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. All rights reserved.

Home

Communicate

Videos

NEW! Watch this Webinar: Automatic GPU Computing for Derivative Pricing Models

GPU computing movie

News & Events

SciComp to exhibit at Global Derivatives Trading & Risk Management. 25% Discount for SciComp Contacts.

16 - 20 April 2012, Hotel Arts Barcelona

Software vendors and service providers ease GPU adoption

...this approach masks the complexity of parallel programming from the end user, leaving them free to define the characteristics of the pricing model that they want to run on GPUs.