rCUDA for ARM presented at HPC ADMINTECH 2018

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

Federico Silla and Carlos Reaño presented a tutorial on rCUDA during HPC ADMINTECH 2018, which took place in Valencia, Spain, between 9 and 11 May 2018. The focus of the tutorial was the use of rCUDA in ARM-based systems. A copy of the slides can be found here.

Tutorial on rCUDA given at HPC Advisory Swiss Conference 2018

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

Federico Silla and Carlos Reaño gave a tutorial about rCUDA at the HPC Advisory Swiss Conference 2018 held in Lugano (Switzerland) during April 09-12. You can watch the video here. A copy of the slides is also available (slides1 and slides2). 

rCUDA for the IBM POWER processor presented at IBM event

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

rCUDA was presented at the IBM POWER 9 event that took place in Valencia on March 6 2018. Results of the rCUDA middleware for the POWER architecture were provided. You can find a copy of the slides here

rCUDA tutorial at the HiPEAC conference next week

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

A tutorial on rCUDA will be given next week in the context of the HiPEAC 2018 conference that will take place next week in Manchester, UK. More information at https://sites.google.com/site/rcudatutorial/home

rCUDA tutorial presented at the HPCA conference in Vienna

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

Carlos Reaño and Federico Silla gave a tutorial about the rCUDA middleware on Sunday 25 February 2018 at the HPCA conference that took place in Vienna, Austria.

Come to see the live rCUDA demo at SC17

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

If you are attending SC17 at Denver, CO, please feel free to come to the Mellanox booth and check out the new rCUDA demo about TensorFlow.

New release of the rCUDA middleware

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

The rCUDA Team is happy to announce the new release of the rCUDA remote GPU virtualization middleware. This new release is a beta version with lots of new functionality although performance is not optimized yet. The new release includes, among other characteristics, a new architecture of the rCUDA server, which has been renewed from scratch in order to provide full support to multi-threaded applications. Additionally, the rCUDA daemon now makes a better use of the GPU memory, allowing more memory for applications. Support for Deep Learning frameworks such as TensorFlow (v1.2 and v1.3) or Caffe has been introduced. Moreover, rendering programs such as Blender are now supported. New libraries, such as cuSOLVER, cuBLAS-XT and NVGRAPH, are also supported, whereas partial support is provided for the NPP library.

Change letter size:

Gold Sponsors

Silver Sponsors

Logo gva

 

logo bright

logo nvidia