June 22, 2011
Moab HPC 6.1 offers massive scalability and maximized GPGPU utilization for large-scale, heterogeneous HPC environments
HAMBURG, Germany, June 22 — ISC'11 — Adaptive Computing, a leader in unified intelligent automation technology, today announced significant enhancements to its Moab HPC product line to address the increasing complexity and scale of next-generation HPC systems. Moab 6.1 HPC delivers ten times the scalability for high throughput computing, significant productivity improvements and enhances control over job arrays and maximized GPGPU utilization for large-scale, heterogeneous HPC environments. The announcement confirms Adaptive Computing's commitment to existing and new HPC and high throughput computing customers by addressing their increasingly advanced, complex needs.
Since its inception, Adaptive Computing's Moab products have helped drive the innovation in the HPC market and is the preferred intelligent automation solution for the leading global HPC and datacenter vendors, managing the most scale-intensive and complex HPC environments in the world.
Generation 6.1 includes releases for Moab Cluster Suite, Moab Grid Suite and Moab Adaptive HPC Suite. New features and functionalities include:
"We're excited to deliver the scalable and intelligent technology our customers need to control and maximize their large-scale, heterogeneous HPC and high throughput computing environments," says Michael Jackson, president of Adaptive Computing. "The Moab family of products is already trusted by the most security-sensitive and scale-intensive computing environments in the world, including leading international banks, government agencies, manufacturers, healthcare and service organizations and global commercial enterprises."
Availability
Moab HPC 6.1 will be available July 2011 for Moab Cluster Suite, Moab Grid Suite and Moab Adaptive HPC Suite. For more information, visit http://www.adaptivecomputing.com/products/moab-hpc.php.
About Adaptive Computing
Adaptive Computing provides intelligent automation software for HPC, datacenter and cloud environments. The company's infrastructure intelligence solutions, powered by Moab, deliver policy-based governance, allowing customers to consolidate and virtualize resources, allocate and manage applications, optimize service levels and reduce operational costs. Adaptive Computing products manage the world's largest computing installations and are the preferred intelligent automation solutions for the leading global HPC and datacenter vendors. For more information, call 801-717-3700 or visit www.adaptivecomputing.com.
-----
Source: Adaptive Computing Enterprises Inc.
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.