Visit additional Tabor Communication Publications
October 06, 2011
The business of testing rockets isn’t a cheap one, and Russian scientists are looking for less expensive, quicker ways to analyze new designs as they race toward space exploration goals. Modeling and simulation, which is used to model everything from car crashes to more streamlined beer cans, is on the agenda as Russia looks to speed time to rocket development.
Roscocosmos, the Russian state space organization, has published a tender for development of “manufacturing technology of a cluster compute system with hybrid architecture for imitational modeling of rocket and launchers’ real flight conditions,” reports CNews. According to the proposal, Russia is prepared to set aside around $1.74 million for the rocket testing cluster.
Russian space officials claim they require a system to be capable of providing peak performance of up to 10 teraflops, hold 20 GB RAM and offer 4000 GB of disk space.
The tender goes on to note that the agency is looking for a contractor that can not only deliver this “manufacturing technology” but that can also provide a sample of such compute system (with CPU, GPU architecture), which will be installed at other sites in the space agency’s network of research and development centers.
As the CNews report stated:
“It stands to mention that Roscosmos by now has had some practice of computer modeling. This year the agency got a personal supercomputer with performance of arounf 1 Tflops and some applied software developed by specialists of the Federal Nuclear Center of the Russian city of Sarov (part of Russia`s biggest state nuclear corporation - Rosatom). source close to Rosatom said to CNews that software had been used to model some elements of the new RD-0146 spacecraft engine and parts of the Rus-M launcher.”
The software powering these simulations must be able to simulate combustion dynamics and analuze heat transfer and aerogas dynamics of rockets at transonic speeds. According to CNews, Russia already possess the world’s largest gas dynamics chambers at the Central Science Research Institute for Machine Engineering in Moscow. This has been the site of other heat transfer research for other Russian space modules in the past.
Full story at CNews
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).
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
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.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.