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Ad R tiAdvance ReservationsAdvance Reservations A Th ti l d P ti l C i f GUR & HARCA Theoretical and Practical Comparison of GUR & HARCA Theoretical and Practical Comparison of GUR & HARCp
 

Summary: Ad R tiAdvance ReservationsAdvance Reservations
A Th ti l d P ti l C i f GUR & HARCA Theoretical and Practical Comparison of GUR & HARCA Theoretical and Practical Comparison of GUR & HARCp
Yixin Wu* Maria Cristina Tugurlan Gabrielle AllenYixin Wu , Maria Cristina Tugurlan, Gabrielle Alleng
Louisiana State University Baton RougeLouisiana State University, Baton Rougey, g
ywu@cct lsu edu ctugur@math lsu edu gallen@cct lsu eduywu@cct.lsu.edu, ctugur@math.lsu.edu, gallen@cct.lsu.edu
* Department of Comp ter Science Department of Mathematics Department of Comp ter Science & CCTDepartment of Computer Science, Department of Mathematics, Department of Computer Science & CCT
I t d ti C i f S t C l iIntroduction Comparison of Systems Conclusionsp y Co c us o s
New generations of scientific applications involve HARC GURNew generations of scientific applications involve
i t ti i li ti f l i l ti l A TeraGrid User survey pointed out that 20%
HARC GUR
interactive visualization of large simulations, real-
Architecture
A TeraGrid User survey pointed out that 20%
of users are using advance reservations andtime data exchange between multi-model codes, Architecture of users are using advance reservations and
th t 25% l i t th i th
g ,
complex workflows of distributed components, that 25% are planning to use them in the
HARC i t f (Fi 2) [1] GUR is an intuitive analogy ofcomplex workflows of distributed components,
and interplay between live experimental devices future. This means that almost half of usersHARC consistsof (Figure 2) [1] : GUR is an intuitive analogy of
t l i d t (Fi 3) [3]and interplay between live experimental devices

  

Source: Allen, Gabrielle - Department of Computer Science, Louisiana State University

 

Collections: Computer Technologies and Information Sciences