HPC and technical computing environments require the collection, storage, and transmission of large-scale datasets. To meet these demands, datacenter architects must consider how increasing storage capacity over time will affect HPC workload, performance, and system availability.
“Although the use of GPUs has generalized nowadays, including GPUs in current HPC clusters presents several drawbacks mainly related with increased costs. In this talk we present how the use of remote GPU virtualization may overcome these drawbacks while noticeably increasing the overall cluster throughput. The talk presents real throughput measurements by making use of the rCUDA remote GPU virtualization middleware.”
“To achieve good scalability performance on the HPC scientific applications typically involves good understanding of the workload though performing profile analysis, and comparing behaviors of using different hardware which pinpoint bottlenecks in different areas of the HPC cluster. In this session, a selection of HPC applications will be shown to demonstrate various methods of profiling and analysis to determine the bottleneck, and the effectiveness of the tuning to improve on the application performance.”
“Exascale levels of computing pose many system- and application-level computational challenges. Mellanox as a provider of end-to-end communication services is progressing the foundation of the InfiniBand architecture to meet the exascale challenges. This presentation will focus on recent technology improvements which significantly improve InfiniBand’s scalability, performance, and ease of use.”
In this episode of This Week in HPC, Michael Feldman and Addison Snell from Intersect360 Research discuss the new Fortissimo Foundation from A3Cube, a clustered, pervasive, global direct-remote I/O access system. For more details, check out our A3Cube Slidecast over at insideBIGDATA. After that, they look at Paypal’s use of TI Keystone DSP processors for systems intelligence. By analyzing their chaotic real-time server data, Paypal is getting real-time, organized, intelligent results with extreme energy efficiency using HP’s Moonshot servers.
“Major cloud providers and Web 2.0 companies have converged on RoCE to solve the challenges of running compute intensive applications and processing massive amounts of data in hyperscale networking environments,” said Barry Barnett, co-chair of the InfiniBand Trade Association. “The RoCEv2 standard enables multi-vendor, interoperable solutions delivering RDMA that spans hyperscale network environments. This in turn paves the way for broader adoption within enterprise environments in order to improve infrastructure efficiency and lower total cost of ownership.”