If you are attending SC18 at Dallas, TX, please feel free to come to the Mellanox booth and check out the new version of rCUDA in the live demo about TensorFlow.

The rCUDA Team is proud to announce the new release of the rCUDA remote GPU virtualization middleware. This new release, which is a beta version, provides improved and much more robust functionality over the previous version. Performance is not optimized yet. The new release includes support for CUDA 8.0 and CUDA 9.0.

The rCUDA Team is happy to announce that the new rCUDA version, to be released at the end of October 2018, has been successfully tried with the Inception program using TensorFlow 1.10 and CUDA 9.0. More tests need to be carried out with other programs.

rCUDA was presented last September in the HPC Advisory Council Conference that took place in Valencia, Spain. You can access the slides of the talk in this link

A new release of the rCUDA middleware will be published during September-October. In addition to support CUDA 9.0 and CUDA 9.1, the new version of rCUDA has successfully run on popular HPC applications such as BARRACUDA, CUDAmeme, GPUBlast, GPU-LIBSVM, Gromacs, LAMMPS, MAGMA and NAMD. Deep learning frameworks are also supported. This new version of rCUDA has been successfully run with TensorFlow version 1.7, Caffe, Torch, Theano, PyTorch and MXNET. Finally, renderers such as Blender and Octane are also supported. This new version of rCUDA is a major step forward in the evolution of this middleware because almost 80% of its code is either new or has been reworked.