rCUDA Tutorial given in PACT Conference in Portland, OR, USA

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Carlos Reaño and Federico Silla gave a tutorial on rCUDA during the latest edition of the PACT conference, which took place in Portland, Oregon, USA from 9 to 13 September 2017. The tutorial, which was titled "Boosting the performance of hybrid CPU-GPU clusters with rCUDA", included a practical demonstration about how to install and use rCUDA as well as several guided exercises to be carried out by attendees.rcuda pact 17

rCUDA presented at the HPC Advisory Council Australia Conference 2017

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The rCUDA technology was presented at HPC Advisory Council Australia Conference 2017, which took place in Perth during 31st July and 1st August. You can find a copy of the slides here. Additionally, a video of the presentation is available here.

The rCUDA Team is completing a new version of rCUDA

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The rCUDA Team has been working for the last 9 months in a new version of rCUDA that will mean an important step both in performance and functionality. The new version will support deep learning frameworks as well as renderer engines, in addition to HPC applications. The new rCUDA version will be released during the next months. 

A Quick Start Guide for rCUDA is now available

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The rCUDA Team has created a Quick Start Guide in order to help rCUDA users to start enjoying the rCUDA framework as fast as possible. You can find the Quick Start Guide here.

Check out the new rCUDA demo at ISC'17

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If you are attending ISC'17 at Frankfurt, please feel free to come to the Mellanox booth and watch the new rCUDA demo about TensorFlow.

rCUDA will be presented at GTC17 NVIDIA Conference

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The use of rCUDA in cloud computing deployments will be presented in the GPU Technology Conference 2017 organized by NVIDIA during May 8-11 at San Jose, CA, USA. You can find the details of the talk here.

rCUDA+TensorFlow shown at Mellanox booth at ISC'17 in Frankfurt

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The rCUDA Team will show the use of rCUDA to boost TensorFlow during ISC'17 next week in Frankfurt. Come to the Mellanox booth and watch the live demo, where the performance of TensorFlow is boosted by using the rCUDA middleware.

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