SpeedIT is now featured in the Consumer section of AMD’s heterogeneous computing application showcase. Check it out! http://developer.amd.com/community/application-showcase/consumer/
Meet us at AMD Developer Summit, November 11-14, 2013 In San Jose, CA.
We will present the state of VIRTUS: CFD in the cloud system and SpeedIT OpenCL (in collaboration with AMD).
Vratis and AMD will collaborate jointly on porting Vratis’ SpeedIT technology to OpenCL.
Vratis, a company that develops GPU-based software for virtual microscopy and computational fluid dynamics for medicine, research and education is pleased to announce a joint project with AMD, the world leading producer of graphic cards. The project will focus on the further expansion of Vratis’ SpeedIT technology aimed at acceleration of OpenFOAM and physical simulations.
Vratis CEO Dr. Lukasz Miroslaw acknowledges that “OpenCL will bring OpenFOAM to the wider range of users and provide the first steps towards acceleration of CFD on OpenCL-enabled devices.
“With SpeedIT, Vratis has demonstrated its ability to develop products that are capable of efficiently utilizing the massively parallel compute capability of today’s graphics processors,” said David Cummings, senior director of AMD Professional Graphics. “We want to support their efforts to move their leading-edge SpeedIT product into an OpenCL-based environment so that a much larger user base has access to a tremendous tool for computational fluid dynamic research and simulation.”
What’s new in SpeedIT 2.3
- New Incomplete Cholesky Preconditioner from CUDA 5.0
- Up to 5x faster intra-GPU communication (GPU Direct)
- Bandwith up to 300 GB/s (NVIDIA Keppler)
- New Options in OpenFOAM Plugin
For more information contact us at firstname.lastname@example.org.
SpeedIT provides a set of accelerated solvers for sparse linear systems of equations. Acceleration is achieved with a single reasonably priced NVIDIA Graphics Processing Unit (GPU) that supports CUDA. SpeedIT Plugin to OpenFOAM allows for running OpenFOAM simulations on GPUs.