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universe, the explosion <strong>of</strong> massive stars, the evolution <strong>of</strong> our solar system over billions or trillions <strong>of</strong><br />

years, and how a complex experiment works. <strong>The</strong>y are also essential to processing astronomical images<br />

whose sizes now exceed one billion bytes (a gigabyte) into data that are usable by the astronomical<br />

community. <strong>The</strong> largest codes may have in excess <strong>of</strong> a million lines and run on supercomputers that have<br />

more than 100,000 cores, generating datasets that occupy one trillion bytes (a terabyte) <strong>of</strong> storage. <strong>The</strong>se<br />

codes are now an indispensable part <strong>of</strong> the astronomical enterprise. However, they <strong>of</strong>ten require teams --<br />

scientists, computer pr<strong>of</strong>essionals, applied mathematicians, and algorithm specialists -- to create,<br />

maintain, and constantly develop them.<br />

NSF, NASA, and DOE have made substantial investments in high performance computing (HPC)<br />

over the last decade, making available close to a petaflop <strong>of</strong> sustained compute power to the astrophysics<br />

community. Such facilities enable cutting-edge theoretical calculations and analyses that push the<br />

astrophysics frontier. Future progress in supercomputer power will come from further parallelization, with<br />

the largest systems evolving from 10 4 -10 5 processor cores today to perhaps 10 8 -10 9 cores by the end <strong>of</strong><br />

the decade 6 .<br />

<strong>The</strong>se capabilities will enable qualitatively new physical modeling 7 . Exploiting the new computer<br />

systems will require new s<strong>of</strong>tware codes and sustained support for focused research groups. At the same<br />

time, strategic balance should be maintained between investment in HPC and hardware resources for<br />

individual investigators and University-department-scale clusters, which are critical for exploratory and<br />

smaller-scale projects and for training <strong>of</strong> students.<br />

Research Networks in <strong>The</strong>oretical and Computational <strong>Astrophysics</strong><br />

A large number <strong>of</strong> the theoretical challenges posed by the Science Frontier Panels are <strong>of</strong> a scale<br />

and complexity that require sustained, multi-institutional collaborations <strong>of</strong> theorists, computational<br />

astrophysicists, observers and experimenters. <strong>The</strong>re is currently no mechanism to support these<br />

coordinated efforts at the required level in the US; however, successful models for such coordinated<br />

efforts exist in Europe 8 . Opportunities used to exist for such medium-scale group efforts in the NASA<br />

ATP program, but more recently ATP has been focused on individuals and small single-institution<br />

groups. Appropriately focused and led research collaborations and networks are “efforts <strong>of</strong> scale” that can<br />

make long-term investments in personnel, computing, and scientific networking uniquely effective in<br />

tackling some <strong>of</strong> the most difficult problems in modern astrophysics.<br />

RECOMMENDATION: A new program <strong>of</strong> Research Networks in <strong>The</strong>oretical and<br />

Computational <strong>Astrophysics</strong> as discussed in Chapter 7 should be funded by DOE, NASA,<br />

and NSF. <strong>The</strong> program would support research in six to eight focus areas that cover major<br />

theoretical questions raised by the survey Science Frontier Panels.<br />

<strong>The</strong> networks would be devoted to a specific problem or topic that is believed to be ripe for a<br />

breakthrough within five years. Selection criteria would include the degree <strong>of</strong> cross-institutional synergy<br />

in the network and its planned role in training and mentoring the next generation <strong>of</strong> researchers. Funding<br />

6 Such large increases in processing capability carry implications for the amount <strong>of</strong> power and cooling that will<br />

be necessary. On the presumption that the total power usage cannot increase significantly in a “green” computing<br />

future, major advances in chip design and special purpose s<strong>of</strong>tware will be necessary.<br />

7 Simulations in cosmological structure formation, galaxy formation, stellar evolution, supernova explosions,<br />

gamma ray bursts, star formation, planet formation, and high-energy particle acceleration, are just a few example<br />

areas.<br />

8 As an example, the Deutsche Forschungsgemeinschaft (<strong>The</strong> German Research Foundation) has established<br />

“Priority Programs” that enable large coordinated theory efforts. An example <strong>of</strong> a recently established Priority<br />

Program is “Witnesses to Cosmic History: Formation and evolution <strong>of</strong> galaxies, black holes, and their environment”.<br />

PREPUBLICATION COPY—SUBJECT TO FURTHER EDITORIAL CORRECTION<br />

5-9

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