During this year, the rCUDA Team has presented the rCUDA technology in Lugano (Switzerland), Perth (Australia) and Leicester (UK). You can access the recordings for each of the talks here: Lugano , Perth, Leicester.

The rCUDA Team is thankful for having been selected as one of the Top 5 CUDA Blogs in https://blog.feedspot.com/cuda_blogs/

The rCUDA Team is working hard for months in order to get the new rCUDA version ready. We expect to release it within a few months. Nevertheless, we are getting some initial results. The figures next to this text show the performance of the new rCUDA version when moving data, located in pageable memory, to/from a V100 GPU. The figure labeled "V100 H2D pageable" depicts the bandwidth attained when moving data to the GPU. The traditional case (shown in green for CUDA, used locally in the same node where the GPU is) is compared with the performance of the previous rCUDA version and the performance of the new rCUDA version when using a GPU located in a different node. It can be seen that the new rCUDA version provides 2x performance over both the previous version and the original CUDA case. Similar results are achieved when moving data from the GPU back to the host (figure labeled "V100 D2H pageable").

Carlos Reaño and Federico Silla will give a tutorial about rCUDA next Tuesday 22 as part of the HiPEAC 2019 conference that will take place in Valencia, Spain. More information about the tutorial is available at the conference website

The rCUDA Team is demonstrating rCUDA in Mellanox booth. If you are attending ISC19, please feel free to come and chat with the rCUDA Team.