October 12, 2011
Oct. 12 -- The U.S. Department of Energy's (DOE) Energy Sciences Network (ESnet) and Internet2 have activated transcontinental 100 Gbps links using coherent technology. The network, which uses Ciena's 6500 Packet-Optical Platform, now has 100 Gbps optical backbone connections operational between New York, Washington D.C., Cleveland, Chicago, Kansas City, Denver, Salt Lake City, and Sunnyvale spanning a distance nearly 4,000 miles.
"This new coast-to-coast capacity represents the first major milestone in completing the nation's most advanced platform for network-based innovation," said Rob Vietzke, executive director of Network Services for Internet2. "Prior innovations from the research and education community have given us the Internet itself, the world-wide web and social networking. We can only imagine what the major new capabilities of this new network might enable in a classroom, research lab or health clinic."
In July 2011, the Lawrence Berkeley National Laboratory (Berkeley Lab) and Internet2 announced plans to build one of the world's fastest and most advanced scientific networks on behalf of the U.S. Department of Energy (ESnet).
Berkeley Lab has received $62 million in funding to create the Advanced Networking Initiative (ANI) in order to develop a 100 Gbps prototype network between DOE's supercomputing centers to facilitate research and experimentation around this new technology. The prototype network is a key step to the DOE's vision of an eventual 1 terabit wavelength network to connect DOE facilities. Part of the ANI funding was also used to create a high-performance reconfigurable testbed where researchers and industry can test advanced concepts in networking and develop new protocols. Under the project, ESnet and Internet2 will build and operate the 100 Gbps ANI prototype network using one of the first national-scale deployments of 100 GigE. Internet2 will use fiber from Level 3 Communications' network. ESnet will also have the option to access 4.4 terabits per second (Tbps) of capacity for the ESnet ANI network using Ciena's 6500 Packet-Optical Platform. The ESnet ANI prototype network will initially connect three DOE unclassified supercomputing centers: the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab, Oak Ridge Leadership Computing Facility (OLCF) in Tennessee, and Argonne Leadership Computing Facility (ALCF) in Illinois, as well as the Manhattan Landing International Exchange Point (MANLAN) in New York.
During the prototype phase, the network will be used for applications and networking research, including connecting the Magellan cloud computing resources at NERSC to ALCF, and the Acadia project, which will develop network interface controller (NIC) hardware and device-driver/protocol-specific software for host and gateway systems operating at 40 and 100 Gbps. The prototype network will also serve as a platform for building out technologies leading to an eventual 1-terabit per second wavelength network.
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
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Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
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With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
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Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
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The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.