From a press release:
AUSTIN, Texas, — Financial institutions are turning to graphics processing unit (GPU) computing for real economic and performance benefits. Fast and accurate derivatives pricing model development and accelerated execution speeds are crucial for today’s derivatives marketplace. SciComp Inc. has enhanced SciFinance®, its flagship derivatives pricing software, to help quantitative developers further shorten Monte Carlo derivatives pricing model development time and create models with faster execution speeds. SciFinance® now features support for NVIDIA® Tesla™ 20-series GPUs and CUDA™ 3.0.
“The mathematical problems of pricing derivatives are tailor-made for GPU computing, and Monte Carlo simulations enjoy some of the fastest speed-ups on GPUs: from 50 to over 300 times faster compared to serial code,” said Curt Randall, executive vice president of SciComp. “This execution speed increase makes it feasible to replace grid solutions (CPUs and interconnects) with a GPU system. GPU costs are a tiny percentage of the cost of a grid solution and offer radical reductions in both footprint and power consumption.”
SciFinance takes advantage of new GPU hardware and software from NVIDIA
“Our customers can quickly take advantage of the speed increases afforded by NVIDIA’s latest hardware and software enhancements,” added Randall. “SciFinance automatically takes care of the CUDA programming issues. Customers need not have any CUDA or parallel computing expertise, and no hand coding is needed. All it takes is one keyword “CUDA” added to a pricing model specification and SciFinance automatically produces optimized GPU-enabled pricing model source code.”
The new NVIDIA Tesla 20-series GPUs represent a speed and feature step up from the previous generation GPUs. CUDA, a parallel computing architecture developed by NVIDIA, gives users the ability to unlock the parallel computational power of GPUs. SciFinance now supports the updated CUDA 3.0 Toolkit. At a keystroke, users can recompile their existing pricing model source code and take advantage of CUDA 3.0 for instant speedups in their derivatives pricing model runtimes.
About SciComp Inc.
A recognized leader in derivatives pricing software, SciComp is the developer of SciFinance, a financial compiler for generating C, C++ or CUDA pricing source code from concise, high-level model specifications. SciComp’s global customer base includes investment banks, money center banks, asset managers, insurance companies, hedge funds and service providers. Derivatives instruments supported include equity derivatives, convertible bonds, cross currency/interest rate derivatives, commodity/energy derivatives, FX products, credit derivatives and cross asset structures. Visit http://www.scicomp.com or call 512-451-1050 for more information.
All rights reserved. SciFinance is a registered trademark of SciComp Inc. NVIDIA, Tesla and CUDA are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice. Certain statements in this press release including, but not limited to, statements as to: the benefits, features, uses, impact, and capabilities of NVIDIA GPUs, NVIDIA CUDA technology and SciFinance are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations.
For more information, please contact:
+1 512 451 1050 x212