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December 08, 2006
Sun Microsystems has announced that Cedars-Sinai Medical Center is now using a Sun Grid Rack system, comprised of 400 Sun Fire x64 servers, Sun StorageTek solutions, Sun N1 software and pre-integrated by Sun Customer Ready Systems, to process and analyze vast amounts of complex data in the pursuit of medical discoveries that could lead to new treatments for life-threatening and chronic diseases. One of the largest academic medical centers in the United States and a leader in clinical research, Cedars-Sinai expects to more than quadruple its previous data processing capacity using the Sun high performance computing grid, while also decreasing cost and power consumption.
At the new Spielberg Family Center for Applied Proteomics at Cedars-Sinai Medical Center in Los Angeles, researchers are doing highly complex analyses of the proteins in patient blood samples in order to discover and develop treatments -- for cancer, heart disease, epilepsy, high cholesterol and other diseases -- that are based on an individual's biochemical makeup and medical history. To undertake this task, Cedars-Sinai sought a supercomputer capable of massive computational power and data storage to process multiple terabytes of raw data daily and reveal patterns that could be correlated to clinical outcomes.
"Sun looked at the tasks and the computational needs we had and was able to provide an optimal solution. They were able to meet our needs at every level," said Jonathan Katz, senior scientist and director of operations, Spielberg Family Center for Applied Proteomics, Cedars-Sinai Medical Center.
The 400 Sun servers form a supercomputer in a compact footprint that perform huge volumes of statistical and data analysis. The system is aiming to generate four terabytes of data daily by 2007 -- four times what was previously processed by the grid -- and eight terabytes daily by 2008. The processing power enables researchers to analyze complex data sets in days rather than weeks or months and cross-compare data to uncover new disease connections.
"Leading research organizations come to Sun for our proven expertise in high-performance computing. Sun's technologies and services enable organizations to accelerate real-world problem solving, while also decreasing cost and power consumption," said Marc Hamilton, senior director of High Performance Computing, Sun Microsystems. "Sun's commitment goes beyond the technology though -- what drives our innovation in HPC is the belief that our supercomputers can help organizations like Cedars-Sinai solve some of the most pressing healthcare challenges that humans face."
Cedars-Sinai estimates that it saved $60,000 and two months' time by having the Sun Customer Ready Program integrate and deploy the pre-assembled grid. Moreover, the Sun servers provide further cost savings by scaling down to one-third their normal power when not active.
"We have a remarkable relationship with Sun. The passion of the employees goes far beyond selling equipment. They offer to come in on weekends to help us. The enthusiasm and dedication is something I haven't experienced with any company -- ever," said David Agus, director, Spielberg Family Center for Applied Proteomics, Cedars-Sinai Medical Center.
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.
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 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.