The rCUDA team is glad to announce that the latest version of its remote GPU virtualization technology (rCUDA release 5.0) now supports the Jetson TK1 ARM-based development kit.

rCUDA was successfully installed in one of the clusters that University of Almeria owns. The SLURM patch developed by the rCUDA team, which enables the use of remote GPUs, was also installed.

The rCUDA team is pleased to announce the release of rCUDA 5.0 during the SC'14 conference at New Orleans, LA. The new rCUDA version supports the CUDA Runtime API and CUDA Driver API version 6.5 as well as the routines in cuFFT, cuRAND, cuBLAS, cuFFT, and cuSPARSE.

This week rCUDA has been present in three different forums: (1) a tutorial entitled "On the use of remote GPU virtualization for managing the GPUs of your cluster in a flexible way" and a poster with title "Boosting the Performance of Remote GPU Virtualization Using InfiniBand Connect-IB and PCIe 3.0" were presented at the IEEE Cluster 2014 conference. (2) A talk entitled "Increasing the throughput of your GPU-enabled cluster with rCUDA" was given at the HPC Advisory Spain Conference 2014, slides and video. (3) Finally, a talk entitled "Extending SLURM with Support for Remote GPU Virtualization" was given at the Slurm User Group Meeting 2014.

Come to the Mellanox Technologies booth at SC'14 in New Orleans, LA, next week, and see our rCUDA live demo. Please visit us and learn how remote GPU virtualization can help you to double cluster throughput and to reduce up to 40% the energy consumption.