March 15, 2013
Kingston, Mass., March 15 — Microway will showcase its updated WhisperStation-Maximus, Certified for NVIDIA Maximus Technology, and NumberSmasher 2U GPU Server with 4 Tesla “Kepler” GPU Accelerators at the NVIDIA GPU Technology Conference. Both can be seen in Booth 215 at NVIDIA GTC in San Jose on March 19-21, 2013.
A single quiet workstation, WhisperStation-Maximus combines the visualization and interactive design capability of the new NVIDIA Quadro K-Series GPUs with the high-performance computing power of multiple NVIDIA Tesla K20 GPUs. Tesla GPU accelerators automatically perform the heavy lifting of photorealistic rendering or engineering simulation computation; the NVIDIA Quadro GPU powers rich, full-performance, interactive design. Maximus is a paradigm shift for designers and engineers. Gone are the days of building a model and coming back hours later to check the results. With Microway's Maximus WhisperStations, simulations can run while the models are being continually tweaked.
The WhisperStation will be shown running Molegro Virtual Docker, from Molegro, a division of CLC Bio. This integrated platform for predicting protein - ligand interactions handles all aspects of the docking process from preparation of the molecules to determination of the potential binding sites of the target protein, and prediction of the binding modes of the ligands.
Microway will also exhibit a NumberSmasher 2U GPU server configuration ready for up to 4 NVIDIA GPUs. With 16 DIMMs, onboard FDR InfiniBand, redundant power, 8x 3.5” hard drives, hardware RAID support, and compatibility with a wide array of GPUs, the Microway solution provides superior capability to competing platforms.
“With speedups from 3x to 100x on over one hundred popular applications, scientists and engineers are leveraging GPUs for increased computational power. Providing faster and more accurate results, Microway's Tesla-based servers and workstations are the ideal foundation for high-performance computing workloads including climate and weather modeling, CFD, CAE, computational physics, biochemistry simulations, and computational finance,” commented Stephen Fried, Microway's President and CTO.
NVIDIA Tesla K-series GPU Accelerators are based on the NVIDIA Kepler compute architecture and powered by CUDA the world’s most pervasive parallel computing model. They include innovative technologies like Dynamic Parallelism and Hyper-Q. With more than one teraflop peak double precision performance, the K20 GPU is ideal for the most aggressive applications.
About Microway, Inc.
Incorporated in 1982, Microway is a major vendor in the High Performance Computing market, designing state-of-the-art, high-end Linux clusters, servers, and data storage solutions. Users worldwide pushing the limits of technology choose us for solutions. These include universities, life sciences, financial, military, Fortune 500s, and research agencies. Microway is a Tesla Preferred Partner and an Intel Channel Platinum Partner.
About NVIDIA
NVIDIA is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce graphics products, the professional design and visualization market with its Quadro graphics products and the high-performance computing market with its Tesla computing solutions products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas.
-----
Source: Microway
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
Read more...
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Read more...
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...
May 23, 2013 |
The 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.
Read more...
May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
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...
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.