#Medinria video plus

The MRRC's 16 data-processing nodes, each of which consist of two quad-core, 64-bit 2.5GHz Intel Xeon 5420 processors, 32 gigabytes (GB) 800 MHz RAM, and 500 GB “scratch space,' gives the MRRC user access to 100% of the duty cycle of a combined 128 GB of RAM, 8 terabytes (TB) scratch space, and 128 processing cores interlinked through high-speed, low-latency, Infiniband fabric with a theoretical throughput of 40 Gbps. The MRRC owns 16 compute nodes of the Einstein high-performance supercomputing (HPSC) cluster. Second, it permits the user to access their documents, research data, user settings, and other on-campus Einstein facilities – including the HPSC Cluster – from anywhere, on campus or off-site, through any computer, kiosk, or smartphone with internet access, simply by accessing the MRRC Hive Portal.Īnd, finally, the centralized configuration of the Hive simplifies technical support and troubleshooting, so that technical issues can be recognized and resolved quickly by the MRRC computer administrator – and end-users never have to worry about installing programs, complex Linux system configuration or missing dependencies for their applications. There are three major benefits to this design.įirst, the Einstein Cluster itself, rather than the user's own computer, performs most computationally intensive jobs, vastly expediting analyses and shortening the research life cycle.

#Medinria video plus

This 'cloud' of geographically distributed data drives, the Einstein Cluster master node, and end-user terminals, desktops, laptops, and workstations, plus the 'hub' MRRC server Laconic, is known as the Hive. The MRRC's computing infrastructure is designed around a 'cloud' or 'grid computing' paradigm, meaning that users' desktop computers, laptops, and workstations act as interfaces to a centralized MRRC server, which in turn facilitates access to users' data space and the powerful Einstein HPSC Cluster (see below).