Download Computing in Object-Oriented Parallel Environments: Second by Masahiro Tatsumi, Akio Yamamoto (auth.), Denis Caromel, PDF

By Masahiro Tatsumi, Akio Yamamoto (auth.), Denis Caromel, Rodney R. Oldehoeft, Marydell Tholburn (eds.)

This quantity comprises the complaints of the foreign Symposium on C- puting in Object-Oriented Parallel Environments (ISCOPE ’98), held at Santa 1 Fe, New Mexico, united states on December 8{11, 1998. ISCOPE is in its moment yr, and maintains to develop either in attendance and within the range of the themes lined. ISCOPE’97 and its predecessor meetings centred extra narrowly on scienti c computing within the high-performance area. ISCOPE ’98 keeps this emphasis, yet has broadened to incorporate discrete-event simulation, cellular c- puting, and web-based metacomputing. The ISCOPE ’98 application Committee bought 39 submissions, and acc- ted 10 (26%) as normal Papers, in accordance with their first-class content material, adulthood of improvement, and chance for common curiosity. those 10 are divided into 3 technical different types. purposes: The rst paper describes an method of simulating complicated nuclear energy reactor designs that comes with a number of neighborhood resolution - thods and a average extension to parallel execution. the second one paper disc- ses a Time Warp simulation kernel that's hugely con gurable and transportable. The 3rd offers an account of the advance of software program for simulating high-intensity charged particle beams in linear particle accelerators, in accordance with the POOMA framework, that exhibits functionality significantly larger than an HPF model, besides solid parallel speedup.

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Extra resources for Computing in Object-Oriented Parallel Environments: Second International Symposium, ISCOPE 98 Santa Fe, NM, USA, December 8–11, 1998 Proceedings

Sample text

3 Implementation Using the POOMA Framework Figure 1 presents an overview of the object-oriented design of the particle accelerator simulation code, illustrating the abstractions for the accelerator, beam, and beamline components. Each solid box represents an object; the top half of each box indicates the object name, while the bottom half indicates the important methods or variable for the object. Lines terminating in arrows indicate inheritance (“is a”) relationships; lines originating from diamonds indicate “has a” relationships.

We use classes to represent vectors, matrices, and other objects. We use exceptions for error handling. For performance analysis, we ran our code using a fully compliant JVM, with bounds checking and garbage collection enabled. JLAPACK performs within a factor of four of the optimized Fortran version for certain platforms and test cases. 2 LAPACK LAPACK [2] is a library of Fortran 77 routines for common linear algebra problems, such as systems of linear equations, linear least square problems, eigenvalue problems, and singular value problems.

For example, the colAt() method intuitively should return a Vector object. Because we could not overload the assignment operator, we had to pass in the Vector object as a parameter to the method. Likewise, we had to write out in full detail mathematical operations such as scaling of vectors, instead of using a more natural mnemonic form, such as the *= operator. It is true that neither of these language features is fundamental, and that both represent “syntactic sugar” that would be removed in a preprocessing step.

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