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• W1537879423 abstract "We have found that the hardware and software infrastructure exists to simulate general relativity problems in a distributed computational environment, at some cost in performance. We examine two different issues for running the Cactus code in such a distributed environment The first issue is running a Cactus simulation on multiple parallel computer systems. Our objective is to perform larger simulations than are currently possible on a single parallel computer. We distribute Cactus simulations across multiple supercomputers using the mechanisms provided by the Globus toolkit. In particular, we use Globus mechanisms for authentication, access to remote computer systems, file transfer, and communication. The Cactus code uses MPI for communication and makes use of an MPI implementation layered atop Globus communication mechanisms. These communication mechanisms allow a MPI application to be executed on distributed resources. We find that without performing any code optimizations, our simulations ran 48% to 100% slower when using an Origin at the National Center for Supercomputing Applications (NCSA) and an Onyx2 at Argonne National Laboratory (ANL). We also ran simulations between Cray T3Es in Germany and a T3E at the San Diego Supercomputing Center (SDSC). Running between the T3Es in Germany resulted in an increase in execution time of 79% to 133%, and running between a German T3E and a T3E at the San Diego Supercomputing Center resulted in an execution time increase of 114% to 186%. We are very encouraged that we are able to run simulations on parallel computers that are geographically distributed, and we have identified several areas to investigate to improve the performance of Cactus simulations in this environment. The second issue we examine here is remote visualization and steering of the Cactus code. Cactus is a modular framework and we have implemented a module for this task. This module performs isosurfacing operations on the same parallel computers that are running the simulation and reduces bandwidth requirements between the simulation and visualization components by a factor of 2.5 to 114, depending on the complexity of the data being visualized. This performance improvement and the available high-performance wide area networks allow us to distribute the simulation and visualization components in different parts of the US and Europe and interactively visualize and steer cactus simulations." @default.
• W1537879423 created "2016-06-24" @default.
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• W1537879423 date "1999-02-08" @default.
• W1537879423 modified "2023-09-27" @default.
• W1537879423 title "Numerical relativity in a distributed environment." @default.
• W1537879423 hasPublicationYear "1999" @default.
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