June 13, 2012
WARWICK, UK, June 13 -- Allinea Software will provide delegates of the International Supercomputing Conference (ISC12) with a preview of the latest version of Allinea DDT 3.2, the leading debugging tool for High Performance Computing. New additions to the feature set provide ground breaking abilities to enhance the speed at which bugs can be fixed.
For scientists, Allinea DDT 3.2 highlights include the integration of visualization and debugging – allowing easier access to visualization and the ability to click back from observable troublespots to application processes.
“Scientific simulations are inherently about 'the data'”, commented Dr. David Lecomber, CTO of Allinea Software, “and the integration of full-strength scientific visualization within a debugging session is key to exploring – by visualizing – the behavior of data and its interaction with code in an application. The VisIt software is recognized by the major supercomputing centers as one of the most capable visualization packages for data intensive HPC.”
“Users will appreciate some of the changes we've made to improve the workflow and pace of debugging – timesavers such as the ability to reuse batch sessions launched from within Allinea DDT without having to resubmit to the queue and simplifying getting started by automatic MPI detection will open debugging up to more users quickly.”
Full support for CUDA Toolkit 4.2 is released with Allinea DDT 3.2 and a new memory leak detection feature for CUDA devices will help to reduce application failures due to resource exhaustion and allow tracking of allocated memory.
There will be live demonstrations of Allinea DDT on Allinea Software’s booth, 734, at ISC12 and a complimentary training course in debugging with Allinea DDT is held during the show, details of which are available at www.allinea.com.
-----
Source: Allinea
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.