3 edition of **An N-body tree algorithm for the Cray T3D** found in the catalog.

An N-body tree algorithm for the Cray T3D

- 273 Want to read
- 33 Currently reading

Published
**1996**
by National Aeronautics and Space Administration, Scientific and Technical Information Program, National Technical Information Service, distributor in [Washington, D.C.], [Springfield, Va
.

Written in English

- Many body problem.,
- Algorithms.,
- Parallel computers.,
- Architecture (Computers),
- Parallel processing (Computers),
- Gravitation.

**Edition Notes**

Statement | Kevin M. Olson, Charles V. Packer. |

Series | NASA contractor report -- 199882, NASA contractor report -- NASA CR-199882. |

Contributions | Packer, Charles V., United States. National Aeronautics and Space Administration. Scientific and Technical Information Program |

The Physical Object | |
---|---|

Format | Microform |

Pagination | 1 v. |

ID Numbers | |

Open Library | OL17130739M |

Barnes-Hut tree based N-body simulation. Contribute to robmdunn/nbody development by creating an account on GitHub. Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit to get more information about this book, to buy it in print, or to download it as a free PDF.

Table of contents for issues of Lecture Notes in Computer Science Last update: Sat Mar 11 MST Volume , Volume , Volume , Volume , Volume , Volume , Volume , Volume , Volume , Volume , Volume , The code, based on the Barnes-Hut tree algorithm, has been developed under the CRAFT environment to share work and data among the PEs involved in the run. The main purpose of this work was the study of the optimal data distribution in the T3D memory, and a strategy for the Dynamic Load Balance in order to obtain good performances when runnig.

AAFID Autonomous Agents For Intrusion Detection is a distributed monitoring and intrusion detection system that employs standalone programs called agents to perform monitoring functions in the hosts of a uses a hierarchical structure to collect the information produced by each agent by each host and by each set of hosts to detect suspicious activity. A program that calculates the gravitational acceleration and potential for all particles output by a separate N-body simulation using the direct method. DIRECT is designed to test the results generated by more complicated gravity codes such as Barnes-Hut, Fast Multipole, error-controlling tree, and FFT codes.

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Get this from a library. An N-body tree algorithm for the Cray T3D: under grant NAG [Kevin M Olson; Charles V Packer; United States. National Aeronautics and Space Administration. Scientific and Technical Information Program.].

Algorithm The Barnes–Hut tree. In a three-dimensional n-body simulation, the Barnes–Hut algorithm recursively divides the n bodies into groups by storing them in an octree (or a quad-tree in a 2D simulation). Each node in this tree represents a region of the three-dimensional space.

The topmost node represents the whole space, and its eight children represent the eight. We describe a new parallel implementation of the octal-hierarchical tree N-body algorithm on SHared Memory systems (SHM) we have recently developed.

Pursuing an effort to optimize as much as possible the code on a generic SHM we have modified the original algorithm introduced by Barnes and Hut, introducing a new scheme of “grouping” of Author: Vincenzo Antonuccio-Delogu, Ugo Becciani, Mario Gambera, Antonio Pagliaro.

Specific levels to be reached using the Cray T3D parallel architecture. A peak performance level of Gflop/s is reached on processors for the time critical gravity computation. View full-text. Abstract. In this paper, a “manager-worker” model for a parallel implementation of hierarchical N-body algorithm is introduced.

We describe a load-balanced, extremely simple algorithm for solving the Astrophysics simulation of N-body problem using tree-based data structures and coarse-grained parallel by: 1. A parallel tree code for large N-body simulation: Dynamic load balance and data distribution on a CRAY T3D system Article (PDF Available) in Computer Physics Communications () The Barnes-Hut algorithm is a good example of how to use tree codes in an algorithm.

The algorithm was presented in [Barnes&Hut] inand is widely used in astrophysics. The algorithm has also been successfully parallized.9 This discussion of the algorithm is mainly based on [Demmel1], which describes Barnes-Hut for a 2D N-body system File Size: 97KB.

@article{osti_, title = {A parallel hashed oct-tree N-body algorithm}, author = {Warren, M S and Salmon, J K}, abstractNote = {We report on an efficient adaptive N-body method which we have recently designed and implemented. The algorithm computers the forces on an arbitrary distribution of bodies in a time which scales as N log N with particle number.

N-Body Algorithm for Cosmological Simulation Best Paper Finalist, SC ’ Michael S. Warren JPL Cray T3D LANL TMC CM-5 Caltech Intel Delta Tree N-Body algorithm at a peta op. In High Perfor-mance Computing, Networking, Storage and Analysis Cited by: 80 CHAPTER 6 Tree-Based Barnes Hut n-Body Algorithm up the data into equal sized chunks and assigns one chunk to each block.

Each block then performs a reduction operation that follows the example outlined in Section B.5 of the CUDA Programming Guide [5]. All the relevant data in main memory are read only once and in a fully coalesced by: This chapter describes the first CUDA implementation of the classical Barnes Hut n-body algorithm that runs entirely on the Barnes Hut force-calculation algorithm is widely used in n-body simulations such as modeling the motion of hierarchically decomposes the space around the bodies into successively smaller boxes, called cells, and computes summary Cited by: M.S.

Warren / 2HOT: An improved parallel hashed oct-tree N-body algorithm for cosmological simulation based on our space-ﬁlling curve key assignment is one example of a successful approach [4]. We have generally achieved near 40% of peak (single-precision) CPU performance on the supercom.

This is an n-body simulation using a Barnes-Hut tree algorithm. Number crunching code is written in C++, leveraging OpenMP and SSE/AVX instructions for high performance. This is then called in Python via Cython and visualized using pyqtgraph. The first solves the equations of compressible gas dynamics on a structured grid.

This algorithm is computationally intensive and requires only a small amount of local communication. As a result, the parallelization overhead is relatively small. The second code solves the gravitational N-body problem using a tree algorithm. This book presents the refereed proceedings of the Second International Workshop on Applied Parallel Computing in Physics, Chemistry and Engineering Science, PARA'95, held in Lyngby, Denmark, in August The 60 revised full papers included have been contributed by physicists, chemists, and.

Small-N Systems Up: Orbits of Galaxies Previous: Trial Orbits. N-body Algorithm When studying the evolution of particle systems, whereas it be on atomic or cosmological scale, N-body simulations have proved to be a useful, and powerful, tool. If the particles can be considered as point masses, and preferably collisionless, such simulations have given very accurate results.

This book constitutes the refereed proceedings of the Third International Workshop on Applied Parallel Computing, PARA'96, held in Lyngby, Denmark, in August The volume presents revised full versions of 45 carefully selected contributed papers together with 31 invited presentations.

The papers. Numerical Recipes (Fortran book on-line) A Numerical Library in C for Scientists and Engineers, H. Lau,CRC Press, Inc., ISBN X Numerical Methods for Mathematics, Science & Eng., John Mathews. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle.

The experimental results on the Cray-T3D with a set of Harwell-Boeing nonsymmetric matrices are very encouraging and good scalability has been achieved. Even compared to a highly optimized sequential code, the parallel speedups are still impressive considering the current status of sparse LU by:.

An Implementation of a Tree-Based N-Body Algorithm on Message-Passing Architecturesp. A Quantitative Approach for Architecture-Invariant Parallel Workload Characterization p. Parallel Mapping of Program Graphs into Parallel Computers by Self-Organization Algorithm p.

PARA '96 Conference Dinner Talk, August 20 p. In the first part of this paper we will give a short description of the code adopting the algorithm of J. E. Barnes and P. Hut (, Nature, ) and in particular the memory and work distribution strategy applied to describe the data distribution on a CC–NUMA machine like the CRAY–T3E by: A Split-C implementation of a novel algorithm for finding connected components of graphs has been implemented and tested on the Cray T3D, the Meiko CS-2, and the Thinking Machines CM-5 using a class of graphs derived from cluster dynamics methods in computational physics.