ELEKS helps a medical device company reduce patient assessment time by accelerating Magnetic Resonance Imaging (MRI) scanner post-processing software with CUDA™
US MRI scanners developer and manufacturer
Reduce patient time on the table by accelerating complex MRI image post-processing and reconstruction tasks.
ELEKS developed a library of specialized functions to perform extremely fast and efficient MRI images reconstruction and SVD processing using NVIDIA® CUDA™. Now these operations take less than a second compared to 28 seconds for FFT and 18.5 seconds for SVD processing (over benchmark datasets using single-threaded reference CPU implementation). And the maximum achieved SVD acceleration is 155x on a benchmark dataset of 96 512x384 frames acquired from 8 coils in YZ orientation.
NVIDIA® CUDA™ GPUs, C++, Microsoft .NET, C#.
ELEKS developed a solution for forecasting and evaluation of losses after natural disasters using Monte-Carlo simulation. Using CUDA™ has significantly improved runtime and allowed the use of more Monte Carlo paths for better convergence.
A leading provider of risk management services, insurance and reinsurance brokerage
NVIDIA® CUDA™, Microsoft .Net
Thanks to the solution developed by ELEKS, information about financial risks of insurers is actualized within minutes, compared to days, when previous generation systems were used. The benefit is that the computing horsepower far outperforms traditional large scale computing environments, delivering nearly real-time results instead of those that previously took several hours to produce a single report.
A leading provider of risk management services, insurance and reinsurance brokerage.
Banking & Financial, Insurance
To reduce the companies’ risk caused by market downturns by providing real-time evaluations of a hedge fund portfolio.
ELEKS developed an NVIDIA® CUDA-based solution as determined by requirements from a Fortune 500 customer. This particular CUDA™ solution runs Monte Carlo simulations in a High Performance Computing environment to calculate market parameters in real-time. The current state of the entire portfolio is monitored at a rate never achieved before and is continuously made available to traders. The models can be fine-tuned by analysts using easy-to-use authoring tools.
ELEKS refined the architecture of the system, plus designed and implemented front-end and back-end components.
The CUDA-enabled solution developed by ELEKS is running Monte Carlo simulations in a massively parallel computation environment across an HPC grid with 17,920 CUDA™ cores in total. Should extra processing power be needed, additional CUDA-enabled servers can be added to expand the array on this truly scalable system. This innovative solution drastically reduces the cost for complex computing. As compared to the traditional high-end computing environment, due to higher density and higher parallelization amount, it slashes the cost for power and rack space.