February 28, 2005
"We are pleased that, with the successful implementation of this project, we were able to strengthen Hungary's relationship with the major research and development centers of Europe, and offer an opportunity to the internationally recognized Hungarian research community to participate in global research projects. Following Hungarian NREN tradition, our intention is to offer equal opportunities in terms of computer networking resources to all institutions, independent of whether they are based in Budapest or elsewhere in the country. The current DWDM infrastructure broadens opportunities to communicate and access information nationwide, which is of extreme importance for Hungary both with regard to achieving eEurope targets as well as connecting to the European Research Region," said Miklos Nagy, director of the Hungarian NREN.
The newly inaugurated backbone represents a further development of the 2.5 Gpbs network, implemented in 2001. The project was regarded as a milestone in the region even then. In the past three years, the Hungarian NREN has launched several new services for the academic community, e.g. Voice over IP, video conferencing, Grid computing and a national directory, as a result of which traffic has multiplied. By 2004, the time came to expand the network. To solve the task, MATAV selected Cisco's ONS 15454 MSTP platform, which represents the latest in multiservice optical platforms.
This next generation optical platform allows expansion to 10 Gbps connections within the existing DWDM platform, helping enable the introduction of several new protocols and services, e.g. SAN (ESCON, FICON, Fiber Channel), Digital Video (SDI, ASI HDTV), along with High Speed Ethernet (FE, GE, 10GE) and TDM based services (from 155 Mb/s to 10 Gb/s). DWDM is an optical transport platform. This facilitates the more efficient use of existing and newly installed optical cable networks, and helps enable the introduction of new services. Based on the existing infrastructure, this technology scales the capacity of optical networks to new levels.
Cisco Systems, as the system vendor, has taken up a significant role supporting both MATAV as the service provider, and the Hungarian NREN as the owner of the research and education network, resulting in a truly end-to-end Cisco network.
Cisco has a strong track record of working with the leading National Education and Research Networks across Europe, including DFN in Germany, UKERNA in the UK, CESNET in the Czech Republic, SUNET in Sweden, GRNET in Greece and HEAnet in Ireland.
"Building a knowledge economy and integrating Hungarian intellectual power into international projects is of crucial importance for the country. Since its foundation 10 years ago, Cisco Systems Hungary has paid special attention to the development of the IT infrastructure for the education and R&D sectors in Hungary. It is our pleasure to make this 10 Gbps network of national significance available for both education and research. This development can be compared to widening a four-lane highway to a 16-lane super-highway," added Robert Budafoki, managing director of Cisco Systems Hungary.
"MATAV's DWDM network plays a significant role within the academic networks from several aspects: it helps ensure high-speed connection between the nodes of the Hungarian NREN's high capacity IP backbone, while it also enables Hungary and the whole Eastern European region to connect to GEANT, the high-speed academic network covering all Europe. We are very pleased that the expansion to 10 Gbps reinforces Hungary's position and role in network-based cooperation within the field of research and education. The newly implemented DWDM network also enables MATAV to operate several nationwide backbone networks on the same optical infrastructure," emphasized Attila Koos, R&D director of MATAV.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
he study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.