Today the European Consortium announced a step towards Exascale computing with the ExaNeSt project. Funded by the Horizon 2020 initiative, ExaNeSt plans to build its first straw man prototype in 2016. The Consortium consists of twelve partners, each of which has expertise in a core technology needed for innovation to reach Exascale. ExaNeSt takes the sensible, integrated approach of co-designing the hardware and software, enabling the prototype to run real-life evaluations, facilitating its scalability and maturity into this decade and beyond.
The speaker agenda has been published for the HPC-Based CFD for Offshore Renewable Energy Workshop. The two-day event takes place April 7-8 at Lancaster University in the UK.
In this video, Roger Goff from DDN describes how the company’s storage solutions have evolved to address the changing demands and requirements of HPC from compute all the way throughout the entire data lifecycle. “Organizations leverage the power of DDN technology and the deep technical expertise of our team to capture, store, process, analyze, collaborate and distribute data, information and content at largest scale in the most efficient, reliable and cost effective manner. Our customers include many of the world’s leading financial services firms and banks, healthcare and life science organizations, manufacturing and energy companies, government and research facilities, and web and cloud service providers.”
“The human microbiome plays a role in processes as diverse as metabolism, immune function, and mental health. Yet despite the importance of this system, scientists are just beginning to uncover which microorganisms reside in and on our bodies and determine what functions they perform. The development of innovative technology and analytical methods has enabled researchers like Dr. Pollard to decode the complex interactions between our human cells and microbial brethren, and infer meaning from the staggering amounts of data 10 trillion organisms create.”
Today European datacenter specialist DATA4 Group and Qarnot Computing announced a new type of distributed computing system that offers “greener and more efficient computing services.” The system is based on Qarnot’s Q.rad, a smart and connected digital heater. “Think of the device as the fusion of an electrical heater and a server. In the Q.rad model of computing, servers are placed in rooms that need heat. They are then networked together to form a physically distributed cloud computing resource.”
Today Bright Computing announced it has been awarded a grant of more than 1.5 million Euros by the European Commission under its Horizon 2020 program. The grant will be used for the Bright Beyond HPC program, which focuses on enhancing and scaling Bright’s industry-leading management platform for advanced IT infrastructure, including high performance computing clusters, big data clusters, and OpenStack-based private clouds.
The summer of 2016 will see a raft of summer schools and other initiatives to train more people in high-performance computing, including efforts to increase the diversity of HPC specialists with a specific program aimed at ethnic minorities. But interested students need to get their applications in now.
In this video, researchers describe how the Jetstream project at Indiana University. Jetstream is a user-friendly cloud environment designed to give researchers access to interactive computing and data analysis resources on demand, whenever and wherever they want to analyze their data. It will provide a library of virtual machines designed to do discipline specific scientific analysis. Software creators and researchers will also be able to create their own customized virtual machines or their own private computing system within Jetstream.
As multi-socket, then multi-core systems have become the standard, the Message Passing Interface (MPI) has become one of the most popular programming models for applications that can run in parallel using many sockets and cores. Shared memory programming interfaces, such as OpenMP, have allowed developers to take advantage of systems that combine many individual servers and shared memory within the server itself. However, two different programming models have been used at the same time. The MPI 3.0 standard allows for a new MPI interprocess shared memory extension (MPI SHM).
Today Compute Canada and the Canadian Association of Research Libraries (CARL) announced a collaboration to build a scalable national platform for research data management and discovery. The partnership joins information management expertise from the CARL Portage Network with information technology expertise from Compute Canada to develop services that researchers need to respond to the demands of data-intensive research and to comply with funding bodies’ data sharing policies.