Acceleware announces acceleration of Matrix methods up to 20X faster

Acceleware has announced acceleration of matrix equation solvers found in simulation and data processing software commonly used for scientific and industrial applications. These new methods significantly extend the problem solving capability of the Acceleware Platform, allowing a broad new range of application providers the opportunity to deliver the compelling performance of multi-core and hardware accelerators to their technical computing customers. With matrix methods added into the Acceleware Platform, end users of these advanced techniques can benefit by solving their linear equation problems up to 20X faster.

Acceleware’s matrix equation solver technology will be applicable for users of various electronic design automation, mechanical, fluid dynamics, microwave, photonics, signal integrity/power integrity tools and integrated circuit software tools, significantly reducing the simulation time in their design flow. This allows semiconductor, wireless handset, and consumer and industrial product manufacturers to bring higher-performance, feature-rich products to market sooner, giving them a competitive edge and transforming the way they solve problems. Oil and gas companies also use matrix methods to solve larger, more complicated reservoir simulations and to help pin-point new oil reserves faster, and with higher resolution.

By developing this matrix equation solver technology, which is based on NVIDIA’s CUDA C-language development environment, the reach of the Acceleware Platform extends into new markets, adding incremental value to existing users of Acceleware solutions. Acceleware’s latest capability speeds up large, sparse linear equation computational algorithms by up to 20X.

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