The good folks at the European Network on High Performance and Embedded Architecture and Compilation (HiPEAC) have launched a call for contributions to the 2017 edition of the HiPEAC Vision, which will set out the way forward for computing systems over the next ten years. “Published every two years, HiPEAC’s definitive roadmap provides guidance for policy makers and technologists on key issues in the area of computing systems, such as security, reliability and energy efficiency.”
In this video, Chris Dagdigian from Bioteam delivers his annual assessment of the best, the worthwhile, and the most overhyped information technologies for life sciences at the 2016 Bio-IT World Conference & Expo in Boston. “The presentation tries to recap the prior year by discussing what has changed (or not) around infrastructure, storage, computing, and networks. This presentation will help scientists, leadership and IT professionals understand the basic topics involved in supporting data intensive science.”
In this video from the HPC User Forum in Tucson, Gary Paek from Intel presents: Intel’s Machine Learning Strategy. “Earlier this week, 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.”
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.
In this video from the 2016 GPU Technology Conference, Greg Schmidt from Hewlett Packard Enterprise describes the new Apollo 6500 server. “With up to eight high performance NVIDIA GPU cards designed for maximum transfer bandwidth, the HPE Apollo 6500 System is purpose-built for deep learning applications. Its high ratio of GPUs to CPUs, dense 4U form factor and efficient design enable organizations to run deep learning recommendation algorithms faster and more efficiently, significantly reducing model training time and accelerating the delivery of real-time results, all while controlling costs.”
The Ohio Supercomputer Center has named its newest HPC cluster after Olympic champion Jesse Owens. The new Owens Cluster will be powered by Dell PowerEdge servers featuring the new Intel Xeon processor E5-2600 v4 product family, include storage components manufactured by DDN, and utilize interconnects provided by Mellanox. “Our newest supercomputer system is the most powerful that the Center has ever run,” ODHE Chancellor John Carey said in a recent letter to Owens’ daughters. “As such, I thought it fitting to name it for your father, who symbolizes speed, integrity and, most significantly for me, compassion as embodied by his tireless work to help youths overcome obstacles to their future success. As a first-generation college graduate, I can relate personally to the value of mentors in the lives of those students.”
This week, the European Commission presented a vision for the European Science Cloud that will bring together current and future data infrastructures. The European Open Science Cloud will be created for European researchers and their global scientific collaborators by integrating and consolidating e-infrastructure platforms, federating existing scientific clouds and research infrastructures, and supporting the development of cloud-based services.
In this video from the 2016 GPU Technology Conference, Rich Friedrich from Hewlett Packard Enterprise describes how the company makes it easier for Data Scientists to program GPUs. “In April, HPE announced a public, open-source version of the platform called the Cognitive Computing Toolkit. Instead of relying on the traditional CPUs that power most computers, the Toolkit runs on graphics processing units (GPUs), inexpensive chips designed for video game applications.”