rCUDA live demo in SC19 at Denver

User Rating:  / 0
AddThis Social Bookmark Button
Change letter size:

The rCUDA Team is glad to present its live demo in SC19 at Mellanox booth. Please come to the booth and learn about the new features that will be included in the next release of rCUDA.

rCUDA now supports Slurm

User Rating:  / 0
AddThis Social Bookmark Button
Change letter size:

The rCUDA Team is glad to announce that the support for the Slurm job scheduler has been completed. This support will be included in the next release of rCUDA. With this support, jobs submitted to the Slurm queues can use the remote GPUs provided by rCUDA in a transparent way, without having to modify the applications and without having to modify Slurm.

Three talks about rCUDA worldwide during 2019

User Rating:  / 0
AddThis Social Bookmark Button
Change letter size:

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.

rCUDA selected as one of the Top 5 CUDA Blogs

User Rating:  / 0
AddThis Social Bookmark Button
Change letter size:

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

New rCUDA release is closer

User Rating:  / 0
AddThis Social Bookmark Button
Change letter size:

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").

1

Tutorial about rCUDA in HiPEAC 2019 conference

User Rating:  / 0
AddThis Social Bookmark Button
Change letter size:

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

rCUDA demo at ISC19 in Mellanox booth

User Rating:  / 0
AddThis Social Bookmark Button
Change letter size:

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.

3068

Change letter size:

Gold Sponsors

Silver Sponsors

Logo gva

 

logo bright

logo nvidia