January 15, 2013
TROY, Mich., Jan. 15 – Altair today introduced PBS Professional 12.0, the latest version of its globally popular workload management and job scheduling solution for high-performance computing, with exceptional new features that dramatically speed scheduling and boost utilization and agility.
"PBS Professional 12.0 advances Altair's technology significantly farther along the road to exascale systems, in which clusters will grow from today's tens of thousands of processors to a million or more," said Bill Nitzberg , chief technology officer for PBS Works at Altair. "Our latest release is faster, is more robust and offers better utilization. The HPC landscape is changing faster than ever around Clouds, Green, GPUs, and co-processors making customization key. Our new plug-ins provide the agility needed to keep up with this ever changing landscape."
PBS Professional 12.0 offers new capabilities that increase the efficiency and flexibility of high-performance computing, including:
Faster scheduling and start-up
Higher utilization through a new "shrink-to-fit" feature
Shrink-to-fit allows users to run jobs -- or portions of jobs -- in the period immediately before a planned maintenance outage. Typically, computer systems remain unused for several hours prior to an outage because insufficient time is available to complete a job that may take many more hours to run. PBS Professional 12.0 fills those holes with malleable "shrink-to-fit" jobs, allowing useful work to be accomplished during the pre-outage period when otherwise no jobs would be running on the system and thereby providing greater than 95 percent utilization. Jobs get done sooner and scheduling of the computing systems operates more efficiently.
One Altair beta customer reported they were able to reclaim 800,000 CPU hours over two months by using shrink-to-fit to run jobs prior to outages.
Plug-ins for "execution events"
PBS Professional 12.0 introduces the second major component of Altair's plug-in infrastructure, allowing users to control, modify, extend and change job lifecycle events in the execution stage. Earlier, Altair released plug-ins for job submission filtering, provisioning, and scheduling. The latest plug-in allows for health checks prior to starting the job, filtering and changing computer behavior when the job starts and ensuring cleanup is correct.
About PBS Works
PBS Works, Altair's suite of on-demand cloud computing technologies, allows enterprises to maximize ROI on existing infrastructure assets. PBS Works is the most widely implemented software environment for managing grid, cloud, and cluster computing resources worldwide. Its flagship product, PBS Professional, allows enterprises to easily share distributed computing resources across geographic boundaries. With additional tools for portal-based submission, analytics, and data management, the PBS Works suite is a comprehensive solution for optimizing HPC environments. Leveraging a revolutionary "pay-for-use" unit-based business model, PBS Works delivers increased value and flexibility over conventional software-licensing models.
About Altair
Altair empowers client innovation and decision-making through technology that optimizes the analysis, management and visualization of business and engineering information. Privately held, with 1,800 employees, Altair has offices throughout North America, South America, Europe and Asia/Pacific. With a 27-year track record for high-end software for engineering and computing, enterprise analytics solutions, and innovative product design and development, Altair consistently delivers a competitive advantage to customers in a broad range of industries.
-----
Source: Altair
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...
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...
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...
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...
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.