Today SGI announced the immediate availability DMF for Lustre. “With SGI DMF for Lustre, enterprises can ensure constant access to data while leveraging the significant cost benefits and scalability of tiered storage.”
Last year at the SC13 conference, Micron announced their Automata processor, a programmable silicon device capable of performing high-speed, comprehensive search and analysis of complex, unstructured data streams. Today, Micron Technology announced the availability of the software development kit (SDK) for the Automata Processor.
“Parallware is a new source-to-source parallelizing commercial compiler based on a new disruptive, exclusive technology for automatic extraction of coarse-grain parallelism in sequential codes. Success cases reveal that it is effective and efficient in the auto-parallelization of full-scale real applications. Overall, Parallware improves programmability of modern HPC computers.”
“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.”
“Dr. Panda and his research group members have been doing extensive research on modern networking technologies including InfiniBand, High-Speed Ethernet and RDMA over Converged Enhanced Ethernet (RoCE). The MVAPICH2 (High Performance MPI over InfiniBand, iWARP and RoCE) and MVAPICH2-X software libraries, developed by his research group, are currently being used by more than 2,150 organizations worldwide (in 72 countries).”
Recent announcements, analyst reports, conferences and anecdotal evidence point to a certain upswing for high performance computing in industry. Many industries have reaped the benefit of HPC for considerable time and are now stepping up a gear with their systems – some even on a par with national facilities, in order to maintain or extend their advantage. Whether in upstream exploration, engine design or aerodynamics – if you can scale up or scale out, you can derive advantage.
“The thing that really excites me is looking at OpenMP 4.0. We’ve got virtually a complete set of 4.0 features. OpenMP 4.0 brings together tasking, which it’s had since its start in ’97, with new capabilities for vectorization and for offload. Bringing those together, and being able to do them at the same time, is extraordinarily powerful. I love teaching classes about it and seeing what people can do with it. And now it’s fully supported in our products.”