Tutorial about rCUDA in HiPEAC 2019 conference

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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

Information meeting about rCUDA

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The rCUDA Team is glad to invite you to the information meeting that will take place next Friday 28th December at Universitat Politecnica de Valencia, Spain. For more information please contact This email address is being protected from spambots. You need JavaScript enabled to view it.

Ladon OS will include the rCUDA middleware

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The rCUDA Team is happy to announce that the Ladon OS HPC environment, provided by SIE into their systems, will include the rCUDA middleware. Ladon OS is a software HPC environment based on the CentOS Linux distribution provided by SIE, a company located in Madrid, Spain. SIE provides cutting-edge HPC systems to private companies and public institutions.

rCUDA presented in HPC Advisory Council in Valencia, Spain

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rCUDA was presented last September in the HPC Advisory Council Conference that took place in Valencia, Spain. You can access the slides of the talk in this link

Come to see the live rCUDA demo at SC18

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If you are attending SC18 at Dallas, TX, please feel free to come to the Mellanox booth and check out the new version of rCUDA in the live demo about TensorFlow.

new rCUDA version works with TensorFlow 1.10 and CUDA 9.0

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The rCUDA Team is happy to announce that the new rCUDA version, to be released at the end of October 2018, has been successfully tried with the Inception program using TensorFlow 1.10 and CUDA 9.0. More tests need to be carried out with other programs.

New release of the rCUDA middleware

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The rCUDA Team is proud to announce the new release of the rCUDA remote GPU virtualization middleware. This new release, which is a beta version, provides improved and much more robust functionality over the previous version. Performance is not optimized yet. The new release includes support for CUDA 8.0 and CUDA 9.0.

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