Berkeley Lab recently hosted the fourth annual X-Stack PI event, where X-Stack researchers, facilities teams, application scientists, and developers from national labs, universities, and industry met to share the latest developments in X-Stack application codes. “X-Stack was launched in 2012 by the U.S. Department of Energy’s Advanced Scientific Computing Research program to support the development of exascale software tools, including programming languages and libraries, compilers and runtime systems, that will help programmers handle massive parallelism, data movement, heterogeneity and failures as the scientific community transitions to the next generation of extreme-scale supercomputers.”
Today Mellanox announced that University of Cambridge has selected Mellanox End-to-End Ethernet interconnect solution including Spectrum SN2700 Ethernet switches, ConnectX-4 Lx NICs and LinkX cables for its OpenStack-based scientific research cloud. This new win has expanded Mellanox’s existing footprint of InfiniBand solution and empowers the UoC to realize its vision of HPC and Cloud convergence through high-speed cloud networks at 25/50/100Gb/s throughput.
Today the University of Iceland unveiled a new supercomputer that will boost research in a range of scientific areas. Manufactured by Lenovo, the cluster was funded by the Research Infrastructure Fund Iceland with matching funds from the University of Iceland, Reykjavik University.
Over at the Dell HPC Community Blog, Ashish Kumar Singh, Mayura Deshmukh and Neha Kashyap discuss the performance characterization of Intel Broadwell processors with High Performance LINPACK (HPL) and STREAM benchmarks. “The performance of all Broadwell processor used for this study is higher for both HPL and STREAM benchmarks. “There is ~12% increase in measured memory bandwidth for Broadwell processors compared to Haswell processors. Broadwell processors measure better power efficiencies than the Haswell processors. In conclusion, Broadwell processors may fulfill the demands of more compute power for HPC applications.”
The Board of Directors of the OpenMP Architecture Review Board (ARB) is pleased to announce the appointment of Dr. Michael Klemm as the new CEO of the OpenMP organization, a group of vendors and research organizations creating the standard for one of the most popular shared-memory and embedded parallel programming models in use today. Dr. Klemm succeeds Mr. Michael Wong, who served as the OpenMP CEO for almost 5 years.
Today Cray announced that its Board of Directors has appointed Brian V. Turner as a member of the Board and as a member of its Audit and Compensation Committees, effective April 18, 2016.
In this RCE Podcast, Marcel Kornacker from Cloudera describes the Impala project. Impala brings scalable parallel database technology to Hadoop, enabling users to issue low-latency SQL queries to data stored in HDFS and Apache HBase without requiring data movement or transformation. Impala is integrated with Hadoop to use the same file and data formats, metadata, security and resource management frameworks used by MapReduce, Apache Hive, Apache Pig and other Hadoop software.
Today DDN announced a year of unprecedented growth in the usage of its advanced WOS object storage platform. In less than a year, use of the company’s object storage solutions have grown by more than 150 percent to 500+ billion objects in production. Fast-paced growth and strong demand for scale-out storage clouds have propelled DDN’s WOS to one of the industry’s top solutions based on the number of objects in production and have fortified DDN’s position as a strong market leader in object storage.
The 2016 Hot Interconnects Conference has issued its Call for Papers. The event takes place August 24-26 at Huawei in Santa Clara, California. “Hot Interconnects is the premier international forum for researchers and developers of state-of-the-art hardware and software architectures and implementations for interconnection networks of all scales, ranging from multi-core on-chip interconnects to those within systems, clusters, datacenters and Clouds.”
Today Intel announced the inception of the Intel Data Analytics Acceleration Library (Intel DAAL) open source project. “Intel DAAL helps to speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation. The open source project is licensed under Apache License 2.0.”