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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 court cases of the overseas 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 variety of the topics coated. ISCOPE’97 and its predecessor meetings centred extra narrowly on scienti c computing within the high-performance enviornment. 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 obtained 39 submissions, and acc- ted 10 (26%) as common Papers, according to their first-class content material, adulthood of improvement, and probability for common curiosity. those 10 are divided into 3 technical different types. functions: The rst paper describes an method of simulating complex nuclear energy reactor designs that includes a number of neighborhood answer - thods and a traditional extension to parallel execution. the second one paper disc- ses a Time Warp simulation kernel that's hugely con gurable and conveyable. The 3rd provides an account of the improvement of software program for simulating high-intensity charged particle beams in linear particle accelerators, in response to the POOMA framework, that exhibits functionality significantly higher than an HPF model, besides sturdy parallel speedup.

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

Sample text

Note that this approach works only because none of the methods in the library are recursive and because we are ignoring issues of thread safety. len = 2 Fig. 1. Sharing of data among multiple matrices and vectors. The 4 × 4 matrix A uses all 16 elements of its data array. Matrix B is assigned to be a submatrix of A. It shares the same data object as A, but only uses 4 elements of the array. Vector C represents one row of matrix B. Again, it shares the data object with A and B, but only uses two elements.

Radhakrishnan, and P. A. Wilsey. Dynamic cancellation: Selecting Time Warp cancellation strategies at runtime. VLSI Design, 1998. (forthcoming). [10] J. Fleischmann and P. A. Wilsey. Comparative analysis of periodic state saving techniques in Time Warp simulators. In Proc. of the 9th Workshop on Parallel and Distributed Simulation (PADS 95), pages 50–58, June 1995. An Object-Oriented Time Warp Simulation Kernel 23 [11] M. Chetlur, N. Abu-Ghazaleh, R. Radhakrishnan, and P. A. Wilsey. Optimizing communication in Time-Warp simulators.

A synopsis of the warped class derivation tree is illustrated in Fig. 3. Base class definitions form the root of the derivation hierarchy. Figure 3 also depicts the warped classes reused by the TyVIS VHDL simulation kernel. 22 5 R. Radhakrishnan et al. Conclusions The warped Time Warp simulation project is an attempt to produce a widely available, highly portable, and an object-oriented Time Warp simulation kernel complete with operational applications for testing and analysis. The software is written in C++ and uses the MPI portable message passing interface.

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