November 12, 2009
SAN JOSE, Calif., Nov. 12 -- Under the Debugger Software Enhancement program for Petascale production grade tools, awarded to Allinea Software Inc. by Oak Ridge National Laboratory in Q2 2009, Allinea's Distributed Debugging Tool (DDT) is setting new levels of debugger scalability on Jaguar, a Cray XT5 and one of the world's largest supercomputers.
In Q2 2009, Allinea began a collaborative project with ORNL to extent the scalability of its DDT product. The project goal is to enable ORNL's users to debug MPI applications that span many hundreds of thousands of processors, while delivering novel capabilities that can radically simplify this task. Following successful completion of the early stages of the project, Allinea was able to demonstrate that DDT can debug a 220,000 process application running on ORNL's Jaguar supercomputer.
"Given the inherent complexities of developing applications at petascale, it is very important that our users are not frustrated by the very tools that are intended to help solve their problems," said Dr. David Lecomber, CTO of Allinea. "Our initial work has therefore focused on making the basic Petascale debugging experience much the same as it would be on very modest numbers of processes. I am pleased to say that we can now launch a debugging session at 220,000 processors in little more time than it takes to spawn the application itself. Current benchmarks also show that we can perform key actions -- like stepping 220,000 MPI processes, setting breakpoints, or comparing variables across this number of processors -- in a couple of hundred milliseconds or less. This is a massive step beyond what was previously possible in MPI debugging. We are delighted to have been able to achieve this result in such a short period of time."
The critical factors that have permitted Allinea DDT to scale past original project goals are attributed to an excellent collaboration with ORNL and the underlying design of the product, which lends itself well to incremental, modular improvements.
"ORNL and Allinea are partnering to enhance the scalability of the DDT debugger with the goal to support the complete Jaguar System. The work has progressed in a timely manner and has demonstrated the ability to debug a 220,000 process job," commented Richard L. Graham, applications performance tools group leader at ORNL. "We are very pleased with our partnership and the success we are achieving with Allinea Software. Our collaboration with Allinea Software is delivering excellent results."
Allinea Software will be exhibiting at the Supercomputing Conference (SC09) in Portland, Ore., from Nov. 16 -20, 2009, booth #1808.
About Allinea Software Inc.
Based in San Jose, Calif., Allinea Inc. is the US subsidiary of Allinea Software Ltd. and is a leading supplier of tools for parallel programming and high performance computing (HPC). Allinea's products are used by leading commercial and research institutions across the world, and have consistently set the standard for affordability, functionality and ease-of-use -- whether applied to applications at modest scale or petascale applications on the world's largest supercomputers. With new product features aimed at multi-threaded applications and novel computing architectures, Allinea is now bringing its wealth of experience in parallel tools to the rapidly-expanding arena of multicore processing. For more information, visit www.allinea.com.
-----
Source: Allinea Software 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...
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.