| SciFinance®, SciComp Inc.'s flagship product, automatically generates CUDA-enabled source code for any financial derivatives pricing model that employs a Monte Carlo or PDE (partial derivative equation) methodology. No hand-coding, no CUDA programming or parallel computing expertise necessary. More information about GPU computing with SciFinance. | ![]() |
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> Download the SciComp / NVIDIA Tech Brief to learn more SciFinance is a cross-platform derivatives pricing model source code generator that automatically creates C/C++/CUDA source code from concise, keyword-rich pricing model specifications. > How does SciFinance work?
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| The powerful GPU computing capabilities in SciFinance were developed on Tesla GPU computing products and benefit from the use of recent CUDA-capable NVIDIA GPUs, such as NVIDIA Tesla 10-series or 20-series products. (Learn More). Tesla GPU computing products are designed to deliver the highest computational performance with the most reliable numerical accuracy, and are available and supported by the world's leading professional system manufacturers. |
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NVIDIA products are available from all major professional workstation OEMs. Only Tesla GPU computing products are designed and qualified for compute cluster deployment.
We partner with our system vendors to provide optimal solutions that accelerate your workload. Enjoy all the benefits of GPU-acceleration for your SciFinance-generated derivatives pricing models.
| Recommended Workstation Platforms | ||
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Dell Precision T7500 Designed for maximum scalability and performance with large data sets and complex applications, the Dell Precision T7500 is the flagship workstation of the new Dell Precision line. A variety of fully supported NVIDIA Quadro and NVIDIA Tesla GPU solutions are available factory installed. |
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Dell PowerEdge C410x PCIe Expansion Chassis Packed with the most computational power in a 3U form factor with 16 Tesla M2050 computing processors, the Dell PowerEdge C410x is a perfect platform to expand existing clusters. |
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