March 01, 2012
FREMONT, Calif., March 1 -- SGI, the trusted leader in technical computing, announced today that Japan's National Institute of Genetics, an information and systems research organization located in Mishima, Shizuoka, under the leadership of Director-General Yuji Kohara, has selected an SGI UV 1000, the top model in the SGI UV series, for a new supercomputer system. Featuring 768 processor cores 10TB of memory, the system will function as a server for next-generation sequencing data analysis.
As a leading international genetics research laboratory and inter-university research institution in Japan, the National Institute of Genetics builds an international DNA database, develops and provides various search and analysis services, and provides supercomputing resources to researchers throughout Japan and the world. The newly installed SGI UV 1000 will form the backbone of these operations and serve a crucial role in next-generation sequencing data analysis.
The amount of data created by next-generation sequencers is growing exponentially. As the number of sequences that can be read — and thus the amount and size of data created at one time by next-generation sequencers multiplies — increasingly powerful computing resources are needed to handle the analytical processing of that data. These data include sequence assembly and mapping. Sequence assembly is the method of aligning and piecing together numerous reads (DNA fragments) to determine a genome sequence. Used when sequencing is performed on an unknown genome sequence, it is also called de novo assembly. Mapping refers to the method of determining a genome sequence by assembling reads against a reference genome whose sequence is already known.
The SGI UV 1000 adopted by the National Institute of Genetics as a pipeline server for next-generation sequencing analysis is a large-scale coherent shared memory server with 768 processor cores powered by Intel Xeon processor E7 family series and 10TB of memory. Certain sequencing data analysis processes, particularly de novo assembly programs, require vast amounts of computer memory, more than distributed parallel clusters can typically offer today. Anticipation at the Institute is growing around the SGI UV 1000 which, as an analysis server for de novo assembly programs, is the world's only server to date that includes a massive 10TB of shared memory (scalable to 16TB) in a single system.
About SGI
SGI, the trusted leader in technical computing, is focused on helping customers solve their most demanding business and technology challenges. Visit sgi.com for more information.
-----
Source: SGI
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).
Read more...
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...
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
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...
Read more...
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.
Read more...
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.