Visit us at Mellanox Technologies booth #2722 at SC13 in Denver, CO

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We are showing the rCUDA technology at SC13 these days, including a new live demo comparing the performance of CUDA and rCUDA on real time. If you are at SC13, feel free to come and visit us.

 

Supercomputing 2013 rCUDA demo

rCUDA explained in depth next week at SC13

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In addition to the rCUDA demo that you can attend next week at Mellanox Technologies booth #2722 at SC13 in Denver, CO, we will we glad to answer your questions about this remote GPU virtualization technology. Furthermore, in order to help you better understanding rCUDA, we have prepared several white papers, which will be available at SC13. You can see one of them at our "Support" tab in this website.

rCUDA live demo in SC13 at Mellanox Technologies booth

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The rCUDA team is pleased to invite you to the live rCUDA demo at Mellanox Technologies booth #2722 at SC13 in Denver, CO (November 17-22, 2013). Please visit us and learn how remote GPU virtualization can help you to reduce the cost of your computing infrastructure.

New features of rCUDA presented at the HPC Advisory Council Spain Conference 2013

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The last developments of rCUDA, including a thorough performance analysis, were presented on September 12th at the HPC Advisory Council Spain Conference 2013, held in Barcelona (Spain) and co-hosted by the Barcelona Supercomputer Center. The slides of the presentation are available here. You can also access a video with the presentation in this link.

The GROMACS application has been successfully tested with the rCUDA framework

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The set of applications tested with rCUDA has recently increased with the addition of the GROMACS application. With this new addition, the list of applications successfully executed with rCUDA includes LAMMPS, WideLM, CUDASW++, OpenFOAM, HOOMD-blue, mCUDA-MEME, GPU-BLAST and GROMACS.

The new ARM version of rCUDA has been tested with LAMMPS and CUDASW++

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The rCUDA remote GPU virtualization technology, whose last release also supports the ARM processor architecture, has been now leveraged to execute the LAMMPS and CUDASW++ applications in ARM-based systems. More specifically, the Tegra 3 ARM Cortex A9 quad-core CPUs (1.4 GHz) present in the NVIDIA Development Kits CARMA and KAYLA have been used to execute the CPU code of these applications, whereas the GPU code has been offloaded to an NVIDIA GeForce GTX480 “Fermi” GPU installed in a remote regular Xeon-based system. Results clearly show that by using rCUDA and remote accelerators, noticeable performance improvements are achieved over using the local NVIDIA Quadro 1000M GPU already present in the CARMA system, despite of using a traditional 1Gbps Ethernet network.

Paper on the benefits of InfiniBand FDR on remote GPU virtualization presented at CLUSTER 2013 Conference

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The rCUDA team is glad to announce that its last research results were presented on Tuesday September 24th in the CLUSTER 2013 Conference held in Indianapolis, IN (USA).The presented paper, titled "Influence of InfiniBand FDR on the performance of remote GPU virtualization", showed the benefits that the last version of the InfiniBand technology provides to GPU virtualization. The paper was awarded with the Best Paper Award.

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