December 08, 2006
Ewing ("Rusty") Lusk has been named director of the Mathematics and Computer Science (MCS) Division at the U.S. Department of Energy's Argonne National Laboratory.
A Kansas native, Lusk received his B.A. in mathematics from the University of Notre Dame in 1965 and his Ph.D. in mathematics from the University of Maryland in 1970. He began his career as an assistant professor of mathematics at Northern Illinois University, later moving to the Computer Science Department where he became a full professor and acting chairman.
He joined Argonne in 1982 and is a leading member of the team responsible for MPICH2, an implementation of the MPI message-passing interface standard and winner of an R&D 100 award in 2005 from R&D magazine.
"Rusty has played a key role in advancing Argonne's reputation in high-end computing and parallel programming tools," said Rick Stevens, associate laboratory director of Computing and Life Sciences and former director of the MCS Division. "I am confident that Rusty will do an excellent job in leading the division and the laboratory as it addresses new challenges in science and engineering applications."
"I think that the development of the MPI Standard is probably the most important project I have worked on," said Lusk. "The process of developing a community standard in cooperation with vendors, computer scientists and users was fascinating. We shared a common goal and knew that our success would have a major impact on an entire generation of parallel programmers."
The MPICH open source implementation has been adopted by leading computer vendors including IBM, Microsoft, Cray, HP and Sun.
Lusk is the coauthor of five books and more than 100 research articles in mathematics, automated deduction and parallel computing and has chaired numerous professional events.
The Mathematics and Computer Science Division, part of the Computing and Life Sciences directorate at Argonne, consists of approximately 140 staff members. Its mission is to increase scientific productivity in the 21st century by providing intellectual and technical leadership in the computing sciences -- computer science, applied computational mathematics and computational science. Areas of focus include applied mathematics, performance and optimization analysis, very large scale computing, scientific visualization, and wide-area distributed computing.
Research in the MCS Division at Argonne National Laboratory is funded principally by the Mathematical, Information, and Computational Sciences Division, Office of Advanced Scientific Computing Research, Office of Science of the U.S. Department of Energy.
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 even 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 |
he 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.