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

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

This quantity comprises the lawsuits 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 keeps to develop either in attendance and within the range of the topics coated. 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 very good content material, adulthood of improvement, and probability for frequent curiosity. those 10 are divided into 3 technical different types. purposes: The rst paper describes an method of simulating complex nuclear strength reactor designs that includes a number of neighborhood resolution - thods and a common extension to parallel execution. the second one paper disc- ses a Time Warp simulation kernel that's hugely con gurable and transportable. The 3rd supplies an account of the improvement of software program for simulating high-intensity charged particle beams in linear particle accelerators, in line with the POOMA framework, that exhibits functionality significantly higher than an HPF model, in addition to solid parallel speedup.

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

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Part. , 55:365, 1996. [2] Graham A. Mark, William F. Humphrey, Julian C. Cummings, Timothy J. Cleland, Robert D. Ryne, and Salman Habib. Modeling particle accelerators using C++ and the POOMA framework. In ICNSP ’98, February 1998. Santa Barbara, CA. [3] William Humphrey, Steve Karmesin, Federico Bassetti, and John Reynders. Optimization of data-parallel field expressions in the POOMA framework. In ISCOPE ’97, December 1997. Marina del Rey, CA. [4] John Reynders et al. POOMA: A framework for scientific simulations on parallel architectures.

B) Relative speedup of POOMA over HPF codes for the same problem (HPF simulation time divided by POOMA simulation time) 32 W. Humphrey et al. 3 and 5. Figure 3a, which shows the parallel speedup of the three codes, and Fig. 3b, which shows the speedup of the two POOMA codes relative to the HPF code, both demonstrate that the improvement is consistent from one to 32 nodes. The largest improvement between the timings for the HPF code and the POOMA codes is in the time to perform the gather and scatter operations, shown in the middle three columns of Table 1.

This library is well-suited for our study for several reasons: it is a standard library in the scientific community; it is used to solve common and useful problems; and it is highly optimized, giving us a hard performance bound. Our implementation of JLAPACK follows the Fortran version closely in spirit and structure. However, we did not write Fortran-style code in Java. JLAPACK employs object-oriented techniques such as inheritance, dynamic dispatch, and exception handling. We use classes to represent vectors, matrices, and other objects.

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