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Agile Application Delivery with UCS-Powered VDI

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We’re off to another edition of VMworld with some great technology to showcase. Our theme this year is your data center is everywhere, the center of innovation. And talking about innovation we will be demoing some recent work around our desktop virtualization solution with VMware. We will have demo pods showcasing our UCS solutions for Virtual SAN and VDI as well as a demo showing graphic acceleration for VDI with Cisco UCS and NVIDIA GRID on Horizon. By the way, did you catch NVIDIA’s announcement today about GRID 2.0. This is pretty exciting news as graphic acceleration is key to a seamless user experience when you virtualize desktops or applications. With Cisco UCS a market leader in blade servers we’re looking forward to bringing virtualized GPUs to our B-series servers. As we see more and more graphic-intensive applications being virtualized to protect intellectual property by keeping data safely in the data center Cisco is working with NVIDIA and ISVs to qualify hardware configuration for specific applications. Read about Esri ArcGISPro recent testing on Cisco UCS C240-M4 and NVIDIA K2 GPU. Read More »

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Modern GPU Integration in MPI

Today’s guest post is from Rolf vandeVaart, a Senior CUDA Engineer with NVIDIA.

GPUs are becoming quite popular as accelerators in High Performance Computing clusters. For example, check out Titan; a recent entry into the Top 500 list from Oak Ridge Laboratories. Titan has 18,688 nodes (299,008 CPU cores) coupled with 18,688 NVIDIA Tesla K20 GPUs.

To help ease the programming burden working with GPU memory in MPI applications, support has been added to several MPI libraries such that the MPI library can directly send and receive the GPU buffers without the user having to stage them in host memory first. This has sometimes been referred to as “CUDA-aware MPI.”

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