Researchers at the San Diego Supercomputer Center (SDSC) at the University of California, San Diego have received a three-year, $1.3 million award from the National Science Foundation (NSF) to develop a web-based resource that lets scientists seamlessly share and access preliminary results and transient data from research on a variety of platforms, including mobile devices. […]
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).”