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Polanyi, J Chem Soc 252 (1947) 159 K Matyjaszewski, in Comprehensive Polymer Science, G Allen and J C Bevington, eds, Vol 3: Chain Polymerization I, G C Eastmond, A Ledwith, S Russo, and P Sigwalt, eds, Pergamon Press, Oxford, 1989 41, p 639 160 A Gandini and P H Plesch, J Chem Soc 4826 (1965) 161 A Gandini and P H Plesch, J Polym Sci Polym Lett Ed 3, 127 (1965) 162 M Chmelir, N Cardona, and G V Schulz, Makromol Chem 178, 169 (1977) 163 U Akbulut, L Toppare, and B Yurttas, J Polym Sci, Polym Lett Ed 24, 185 (1986) 164 M Miyamoto, M Sawamoto, and T Higashimura, Macromolecules 17, 265 (1984) 165 K Kojima, M Sawamoto, and T Higashimura, Macromolecules 22, 1552 (1989) 166 R Faust and J P Kennedy, Polym Bull (Berlin) 15, 317 (1986); 19,21 (1988); J Polym Sci, Polym Chem.

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In spite of its simplicity, this application model arises in many elds of science and engineering, including Computational Fluid Dynamics [9], Bio-informatics [10 12], Particle Physics [13, 14], Discrete-event Simulation [15, 16], Computer Graphics [17], and in many areas of Biology [18 20] PSAs are commonly executed on a network of workstations Indeed, it is straightforward for users to launch several independent jobs on those platforms, for instance, via ad hoc scripts However, many users would like to scale up their PSAs and bene t from the vast numbers of resources available in Grid platforms Fortunately, PSAs are not tightly coupled, as tasks do not have stringent synchronization requirements Therefore, they can tolerate high network latencies such as the ones expected on wide-area networks In addition, they are amenable to straightforward fault-tolerance mechanisms as tasks can be restarted from scratch after a failure.

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Ed 25, 1847 (1987) 167 M K Mishra and J P Kennedy, J Macromol Sci, Chem 24, 933 (1987) 168 D H Richards, in Developments in Polymerisation-l, R N Haward, ed, Applied Science Publishers, London, 1979, 1, p 1 169 M Fontanille, in Comprehensive Polymer Science, G Allen and J C Bevington, eds, Vol 3: Chain Polymerization I, G C Eastmond, A Ledwith, S Russo, and P Sigwalt, eds, Pergamon Press, Oxford, 1989, 25, p 365 170 K Ziegler, Angew Chem 49, 499 (1936)..

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100 Gb s 1 GTRN network) while each physics event can be processed independently, resulting in trillion-way parallelism. The astronomy community has also targeted the Grid as a means of successfully collecting, sharing and mining critical data about the universe. For example, the National Virtual Observatory Project in the United States [79] is using the Grid to federate sky surveys from several different telescopes, as discussed in 38. Using Grid technology, the sky surveys sort, index, store, lter, analyze and mine the data for important information about the night sky. High-performance Grids, such as TeraGrid, will enable NVO researchers to shorten the process of collecting, storing and analyzing sky survey data from 60 days to 5 days and will enable researchers to federate multiple sky surveys. Figures 1.25 and 1.26 show the NVO [113] and the potential impact of TeraGrid capabilities on this process. In Europe, the EU AVO project and the UK AstroGrid project complement the US NVO effort in astronomy. The three projects are working together to agree to a common set of standards for the integration of astronomical data. Together, the NVO, AVO and AstroGrid efforts will provide scientists and educators with an unprecedented amount of accessible information about the heavens. Note that whereas in many other communities, data ownership is often an issue, astronomy data will be placed in the public domain in

The ability to apply widely distributed resources to PSAs has been recognized in the Internet computing community (eg SETI@home [21]) There are two main challenges for enabling PSAs at such a wide scale: making application execution easy for the users, and achieving high performance APST addresses those two challenges by providing transparent deployment and automatic scheduling of both data and computation We have published several research articles describing our work and results on APST In Reference [22], we evaluated in simulation a number of scheduling algorithms and heuristics for scheduling PSAs onto a Grid platform consisting of a set of clusters In Reference [23], we described the rst APST prototype and presented experimental results obtained on a Grid platform spanning clusters in Japan, California, and Tennessee In Reference [24], we described the use of APST for a computational neuroscience application.

And if you want to make that same window non-modal, you can use the following code: