The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing
July 28, 2006
On July 19, 2006 the Senate Subcommittee on Technology, Innovation, and Competitiveness listened to testimony from expert witnesses on the subject of high performance computing in the context of national competitiveness. The hearing was presided over by Subcommittee Chairman John Ensign (R-NV). Senator Maria Cantwell (D-WA) is the minority lead on the committee.
This hearing has the potential to generate interest in companion Senate legislation to the High Performance Computing Revitalization Act (HR.28) passed by Congress in April 2005, which Cantwell has called "a good framework to start with."
The witnesses shared their diverse experience to create a varied portrait of the state of high performance computing. What follows is an outline of each of the contributor's main points:
Dr. Simon Szykman, Director, National Coordination Office for Networking and Information Technology Research and Development
Dr. Szykman affirmed the importance of federal funding and interagency coordination with regard to high performance computing in the context of global competitiveness and progress. He stated that over the past few years, high performance computing has become more of a priority in the Federal R&D portfolio. Nowhere is that better documented than in the funding for the NITRD Program, which in five years has seen a budget increase of over 65 percent with a budget request of over $1.3 billion for fiscal year 2007.
He highlighted several examples that have come as a result of interagency collaboration, namely the DARPA HPCS program, the High-End Computing University Research Activity (HEC-URA) program and the development of benchmarks, performance metrics and measurement tools. He also discussed issues of innovation and competitiveness in the global market that came about in March 2002 when Japan's Earth Simulator became the world's fastest supercomputer. Szykman downplayed the occurrence, saying that the Japanese machine now holds sixth place, U.S. vendors are the dominant suppliers of supercomputing systems, and even foreign systems rely overwhelmingly on U.S. technologies.
Szykman went on to say, "The fact that the U.S. currently holds the title of world's fastest supercomputer does not herald a new era in U.S. leadership in high performance computing any more than the loss of the number one position implied a loss of leadership. High performance computing has been -- and will continue to be -- a cornerstone in the government's networking and information technology R&D portfolio. The clearest demonstration of progress over the past four years, however, should not be viewed in terms of the raw speed of the world's fastest machine, but rather in the context of the growing focus on domestic high performance computing policy, the unprecedented interagency coordination and collaboration on technical planning and implementation taking place within the government research community, and the increasingly cooperative ties between the Government research community and the private sector."
Dr. Irving Wladasky-Berger, Vice President, Technical Strategy and Innovation at IBM
Dr. Wladasky-Berger discussed advancements in supercomputing and its key applications and outlined a strategy for success long-term success. He listed several key achievements, among them IBM's claim to the three fastest supercomputers: Blue Gene/L, Blue Gene/W and ASC Purple.
Wladasky-Berger explained how supercomputers enable discoveries and advancements that would not otherwise be possible, citing the discovery of "docking sites" for new drugs and simulations that allow scientists to better understand the earth's climate. He went on to say that while technology, architecture and software are important, the real value of supercomputing to society is in its application in areas as diverse as defense and national security, science, weather/climate, engineering, energy, bioinformatics/biology, health care, business and learning.
Page: 1 of 4(Digg, Technorati, more)
New Paper: Parallel Computing Without Parallel Programming
Learn how domain experts can run VHLL programs like MATLAB® on a variety of high-performance platforms without low-level reprogramming and how to work with the largest datasets and complex algorithms without sacrificing ease of use or reducing productivity.
Jul 09 | Engineer Live | The demand for computational tools to underpin the 3D seismic interpretation process has never been more apparent. Read more...
Jul 08 | EE Times | Unemployment for U.S. engineers has reached record levels, according to government figures. Read more...
Jul 08 | Network World | Global spending for 2009 projected to drop 6 percent, for a total of $3.2 trillion. Read more...
Jul 08 | Linux Magazine | Portability or efficiency? Neither is guaranteed when writing explicit parallel code. Read more...
Jul 07 | Ars Technica | Japanese company builds custom ASIC to accelerate real-time ray traced rendering for the auto industry. Read more...
Jul 10 | | Engineers, scientists, and other domain experts depend on the productivity enabled by very high-level language (VHLL) tools like MATLAB® and Python. However, as datasets grow larger and programs get more sophisticated, ordinary desktop computers can no longer keep up. The paper explores how to run VHLL programs on high-performance platforms without low-level reprogramming. Work with large datasets and complex algorithms without sacrificing ease of use or reducing productivity.
Apr 14 | | Many HPC IT departments are feeling the rising pressure to deliver more capacity computing and performance while trying to reduce the total cost of ownership. This white paper discusses how an environmentally-friendly and open-standards HPC building block based computing system using flexible interconnect options helps address capacity computing needs.
Source: Addison Snell, GM/VP, Tabor Research; sponsored by Dell
Many organizations that could benefit from the use of HPC clusters find that it is complicated to get the systems up and running because of limited IT resources or the complexities of the clusters themselves. Learn how the Intel Cluster Ready program, for which Dell was an original partner, seeks to address this challenge for entry level and mid-range HPC users.
BlueArc's Titan architecture represents an evolutionary step in file servers by creating a hardware-based file system that can scale bandwidth, IOPS, and overall data capacity well beyond conventional software-based devices. With its ability to virtualize a massive storage pool of up to four usable petabytes of tiered storage, Titan can scale with growing data requirements, offering a competitive advantage for businesses, researchers, or other enterprises seeking to better manage data growth while still ensuring optimal performance.
Sun Studio Compilers and Tools and Sun HPC ClusterTools allow you to create high performance parallel applications for OpenSolaris, Solaris and Linux. Sun Studio Express 11/08 includes MPI performance analysis capabilities and full OpenMP 3.0 compiler support. Learn about all this and the latest in Sun HPC ClusterTools 8.1.