rCUDA was presented in April 2015 at the Computer Engineering Laboratory of Delft University of Technology in Delft, The Netherlands. The slides of the presentation are available here. 

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.

A video recorded during SC'14 at New Orleans is available. In this video Carlos Reaño, from the rCUDA Team, explains in 3 minutes the most important details about rCUDA.

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.

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.