Texas Advanced Computing Center
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report

Tabor Communications
Corporate Video

Michael L. Norman Named Director of the San Diego Supercomputer Center


Aug. 23 -- Michael L. Norman has been named to the position of director of the San Diego Supercomputer Center (SDSC) at the University of California, San Diego. Norman's appointment is effective Sept. 1, 2010.

Norman, a distinguished professor of physics at UC San Diego and a globally recognized computational astrophysicist, had been SDSC's interim director since July 2009 and chief scientific officer of the supercomputer center since June 2008.

"Dr. Norman has demonstrated the vision and leadership the SDSC needs as we enter an era of daunting challenges, accelerating changes, and very promising opportunities," said Senior Vice Chancellor for Academic Affairs Paul W. Drake. "We are confident that SDSC will maintain its preeminence under Mike's leadership."

 "Dr. Michael Norman has moved the San Diego Supercomputer Center into broader and deeper collaborations with researchers across the university's entire research enterprise, first as Chief Scientific Officer, then as Interim Director of the center," said Arthur B. Ellis, UC San Diego's vice chancellor for research. "Mike has also been one of the architects of our campus' blueprint for research cyberinfrastructure. As the center's new director, Mike will continue to build partnerships within UC San Diego and the UC system and with research institutions nationally and globally."
 
In addition to serving as a key resource provider for UC San Diego and the entire UC system, SDSC has several new programs and systems at the national level. SDSC late last year won a five-year, $20 million grant from the National Science Foundation (NSF) to build and operate Gordon, the first high-performance supercomputer to employ a vast amount of flash memory SSDs (solid state drives) to help speed solutions now hamstrung by slower spinning disk technology. Slated for operation in mid-2011, Gordon should rate among the top 30 or so supercomputers in the world, capable of doing latency-bound file reads 10 times faster and more efficiently than any high-performance computing system today.

"Gordon will be ideal for tackling data-intensive problems that don't scale well on today's massively parallel supercomputers, such as the analysis of individual genomes to tailor drugs to specific patients, developing more accurate models to predict the impact of earthquakes or other natural disasters on buildings and other structures, and coupled ocean/atmospheric simulations that offer greater insights into what's happening to the planet's climate," said Norman.

In addition, Gordon will be a peer-reviewed, allocated resource on NSF's TeraGrid, and be available to any U.S. researcher. TeraGrid is the nation's largest open-access scientific discovery infrastructure.

Gordon is just one of several new systems that are either already in place or scheduled to go online next year at SDSC, one of the first such centers founded by the National Science Foundation (NSF) 25 years ago. In April SDSC deployed Dash, a smaller prototype of Gordon that gives prospective users an opportunity to explore Gordon's unique architectural features. Also in operation is the Triton Resource, a new data-intensive system featuring some of the most extensive data analysis power available commercially or at any research institution in the country because of its unique large-memory nodes. Intended for use primarily by UC and UC San Diego researchers, the Triton Resource includes a Petascale Data Analysis Facility (PDAF) designed for the analysis of very large data sets, and the Triton Computer Cluster (TCC), a scalable cluster designed as a centralized resource and a highly affordable alternative to less energy-efficient 'closet computers.'

Norman, a pioneer in using advanced computational methods to explore the universe and its beginnings, was named a senior fellow of SDSC in 2000. He also directs the Laboratory for Computational Astrophysics, a collaboration between UC San Diego and SDSC resulting in the widely-used ENZO community code for astrophysics and cosmology simulations on parallel computers.

Norman is the author of over 250 publications in diverse areas of astrophysical research, including how the first stars in the universe formed and the nature of astrophysical jets. Norman's work has earned him numerous honors, including receiving Germany's prestigious Alexander von Humboldt Research Prize, the IEEE Sidney Fernbach Award, and several HPC Challenge Awards. He also is a Fellow of the American Academy of Arts and Sciences, and the American Physical Society. He holds a B.S. in astronomy from Caltech, an M.S. and Ph.D. in engineering and applied science from UC Davis, and completed his post doctoral work at the Max Planck Institute for Astrophysics in Garching, Germany, in 1984.

From 1986 to 2000, Norman held numerous positions at the University of Illinois in Urbana-Champaign, including professor of astronomy from 1991 to 2000. Norman also served as an NCSA associate director and senior research scientist under Larry Smarr, currently UC San Diego's director of the California Institute for Telecommunications and Information Technology (Calit2). Prior to that, he was a staff member at Los Alamos National Laboratory from 1984 to 1986.

About SDSC

As an organized research unit of UC San Diego, SDSC is a national leader in creating and providing cyberinfrastructure for data-intensive research. Cyberinfrastructure refers to an accessible and integrated network of computer-based resources and expertise, focused on accelerating scientific inquiry and discovery. SDSC is a founding member of TeraGrid, the nation's largest open-access scientific discovery infrastructure.

-----

Source: San Diego Supercomputer Center

Sponsored Links

High-Performance Computing in Action
Businesses that want to be on the cutting edge of their industries are increasingly turning to high-performance computing (HPC) solutions to handle complex compute processes and speed up their rate of innovation. Download this Executive Brief to see how businesses in energy, life sciences and entertainment put HPC solutions to work in their operations.

Webinar: Programming Heterogeneous X64+GPU Systems Using OpenACC
Join Michael Wolfe as he compares the advantages and costs of using both low-level models and the directive-based OpenACC model for programming accelerated heterogeneous systems. Registration is free.

Accelerate your science with Seneca
One of the first HPC providers installing a 4X NVIDIA Kepler K-20 cluster. Invites you to a free evaluation on Seneca’s NVIDIA K20 Kepler cluster, pre-loaded with AMBER, NAMD, LAMMPS

May 23, 2013

May 22, 2013

May 21, 2013

May 20, 2013

May 17, 2013

May 16, 2013

May 15, 2013

May 14, 2013

May 13, 2013


Most Read Features

Most Read Around the Web

Most Read This Just In

Cray CS300-LC

Feature Articles

Exascale Advocates Stand on Nuclear Stockpiles

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...

NSF Forges Further Beyond FLOPs

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...

CERN, Google Drive Future of Global Science Initiatives

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...

Short Takes

NASA Builds 'Climate in a Box'

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...

Building Supercomputers with Raspberries

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...

Running Computational Fluid Dynamics in the Cloud

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...

Computing the Physics of Bubbles

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...

Sponsored Whitepapers

Best Practices in Big Data Storage

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.

Progress in Parallel: the Bull Parallel Programming Center

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.

Sponsored Multimedia

SGI DMF ZeroWatt Disk Solution

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.

Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video

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.

SC12 Editorial Feature HPCwire Soundbite sponsored by ISC

HPC Job Bank


Featured Events


  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States





HPCwire Events