Turbo-charged models
...Fortis originally used a Monte Carlo application developed in-house, but has now adopted SciMC from Texas-based SciComp, which will automatically generate Monte Carlo code from simple specifications the user makes in a special language called Aspen.
This enables the bank to retain the flexibility it had with its proprietary application while improving the performance of the simulations because, unlike the bank's own generalised Monte Carlo model, SciMC produces a program tailored to the instrument specified, says ter Rahe. SciMC also allows users to inspect the code it produces --an important feature because the degree of error or the bias in the simulations, often resulting from the numbers used being not truly random, are always a concern with Monte Carlo...
Excerpted from Risk Magazine
Home
SciFinance® automates pricing and risk model development
SciPDE™ and SciMC™ are the core SciFinance modules
SciGPU™ achieves blazing fast performance with CUDA and OpenMP
SciCalibrator™ provides pricing model calibration
SciIntegrator™ eases integration
A resource site with examples, documentation and more...
Communicate
Watch the SciFinance Parallel Computing movie:
Webinar: Automatic GPU computing for derivative pricing models
NEWS
Reval Speeds Up Pricing Complex Instruments in the Cloud with SciFinance
"We were looking for a cost-effective and easy-to-deploy solution to improve the pricing of complex derivative instruments using PDEs or Monte Carlo simulation in our SaaS product. We found it with SciFinance and GPU-enabled models, without having to become experts in parallel coding or CUDA."
"...the only thing you need to add to get GPGPU acceleration is literally 'CUDA'; it's a single keyword, not a fundamentally different way to formulate the math equations. This allows SciComp's customers to save even more time while also improving accuracy."
Beyond 3D