June 06, 2011
June 6, 2011 -- Allinea Software (www.allinea.com) - the leading provider of parallel software development tools for high performance computing (HPC) - has released the first debugger capable of handling applications running across hundreds of thousands of cores – needed to deliver Petaflops* performance.
This latest version of Allinea DDT dramatically shortens debugging response time, improving efficiency for users at all scales. And for those working at scale on the world’s largest supercomputers, debugging on the entire system is now possible for the first time, enabled by Allinea’s new technology.
Support to handle the most complex codes
Allinea DDT 3.0 uses a new tree-based architecture that provides logarithmic performance in scalability and response time as the process count increases.
“As scale increases, using a debugger becomes even more essential, yet the challenges for debuggers in terms of performance and interface complexity become greater. We at Allinea are now providing the speed and the interface to beat this challenge. With response times measured in milliseconds at over 100,000 cores, and an interface that simplifies the presentation of many processes by merging similarities and highlighting differences we have a tool that is as easy to use on 100,000 cores as it is on 100 cores”, says Dr David Lecomber, CTO of Allinea Software.
The benefits of scalable debugging translate directly to users at all scales – with massive performance improvements for debugging small and mid-level parallel applications too. These performance improvements also enable new features that simplify the task of debugging. For example, the new Smart Highlighting capability quickly and automatically compares variables across processes, providing an indispensable visual aid for users debugging multiple processes at all scales.
Massive performance revolution for users
Mike Fish, CEO of Allinea Software, explains: “The release of Allinea DDT 3.0 marks a massive performance revolution for users, making possible tasks that are beyond the capacity of current debugging tools. As systems become ever larger, software developers at scale were running blind when trying to fix their problems. Debugging was no longer an option with conventional tool architectures and interfaces, due to unacceptably long response times and the overwhelming increase in complexity in user interfaces. Allinea DDT 3.0 has changed the game for developers and put them back in control of applications at scale.”
Chosen by the most demanding centres of excellence in parallel computing
Allinea DDT is used on 36 of the top 100 supercomputers on the respected global ‘Top 500’ list - in the US, in Europe and now in Asia. Many of the organisations that own these supercomputers have built collaboration partnerships with Allinea Software to have access to the most scalable tools in the industry. For example, Oak Ridge National Laboratory, a multi-program science and technology laboratory managed for the U.S. Department of Energy (number two in the Top 500 list) turned to Allinea to provide the tools for petascale through multi-year collaboration partnerships, as has the French Atomic Energy Authority (CEA).
------
Source: Allinea Software
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.