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A parallel algorithm for switch-level timing simulation on a hypercube multiprocessor

A parallel algorithm for switch-level timing simulation on a hypercube multiprocessor

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Published by Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign in Urbana, IL .
Written in English

    Subjects:
  • Multiprocessors.,
  • Parallel processing (Electronic computers)

  • Edition Notes

    StatementHariprasad Nannapaneni Rao.
    SeriesNASA-CR -- 185338., NASA contractor report -- NASA CR-185338.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v .
    ID Numbers
    Open LibraryOL15290190M

    Chapter 9 Parallel Algorithms. Parallelization of the H Video Coding Algorithm on the IBM SP2 ® Multiprocessor System. A Parallel Sort-Balance Mutual Range-Join Algorithm on Hypercube Computers. Distributed Parallel Generation of Indices for Very Large Text Databases. The current text, Introduction to Parallel Processing: Algorithms and Architectures, is an outgrowth of lecture notes that the author has used for the graduate course “ECE B: Advanced Computer Architecture -- Parallel Processing” at the University of California, Santa Barbara, and, in rudimentary forms, at several other institutions.

    Parallel Computing Spring - CS Hari Sundar, MEB [email protected] WEB L - MW pm. overview scope. scalable algorithms. efficient implementations outline. Parallel programming models Shared Memory (Work/Depth, PRAM), APIs (OpenMP) Distributed Memory (message passing), APIs (MPI) Discrete Algorithms Sorting, Searching. A ncw row-bas& panllcl algorithm for standard-ccll placement targeted for execution on a hypercube multiprocessor is prescntcd. Key fcatures of this implementation include a dynamic simulated-annealing.

    The parallel execution time, t p, is given by t s/S(n) Hence, the cost of a parallel computation is given by Cost-Optimal Parallel Algorithm One in which the cost to solve a problem on a multiprocessor is proportional to the Some communications algorithms are hypercube based How big would a 7d hypercube be? File Size: KB. Abstract. A Multidimensional Study on the Feasibility of Parallel Switch-Level Circuit Simulation Yu-an Chen, Vikas Jha, and Rajive Bagrodia Computer Science Department University of C alifornia at Los Angeles Los Angeles, CA Abstract This paper presents the results of an experimental study to evaluate the eflectiveness of multiple synchronization protocols and partitioning algorithms in.


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A parallel algorithm for switch-level timing simulation on a hypercube multiprocessor Download PDF EPUB FB2

Hypercube. The simulation algorithm is based on RSIM, an event- driven switch-level simulator that incorporates a linear transistor model for simulating digital MOS circuits. Parallel processing techniques based on the concepts of Virtual Time and rollback are utilized so that portions of.

This paper focuses upon a particular conservative algorithm for parallel simulation, the Time of Next Event (TNE) suite of algorithms [13]. TNE relies upon a shortest path algorithm which is independently executed on each processor in order to unblock LPs in the processor and to increase the parallelism of the by: tive algorithm for parallel simulation, the Time of Next Event (TNE) suite of algorithms [,13].

TNE relies upon a shortest path algorithm which is independently executed on each processor in order to unblock LPs in the proces- sor and to increase the parallelism of the simulation.

TNE. The parallel approach to speeding up simulation is studied, specifically the simulation of digital LSI MOS circuitry on the Intel iPSC/2 hypercube. The simulation algorithm is based on RSIM, an event driven switch-level simulator that incorporates a Author: Hariprasad Nannapaneni Rao. In a previous paper we proposed efficient parallel algorithms for performing QR factorization on a hypercube multiprocessor, where the hypercube network is configured as a two-dimensional subcube-grid with an aspect ratio optimally chosen for each by: 2.

Introduction to Parallel Algorithms and Architectures: Arrays Trees Hypercubes provides an introduction to the expanding field of parallel algorithms and architectures. This book focuses on parallel computation involving the most popular network architectures, namely, arrays, trees, hypercubes, and some closely related Edition: 1.

Figs. 8 and 9 outline our hypercube algorithm for answering multiple top-down inference queries. Again, we assume an inheritance hierarchy of n frames, stored on a hypercube multiprocessor with N processors as described in Sectionand a set of m ~Author: Frank Dehne, Afonso Ferreira, Andrew Rau-Chaplin.

This design is intended to be a testbed for carrying out experimental investigations on the performance of various algorithms when mapped onto the hypercube architecture. The algorithms and applications under consideration are from the domain of three-dimensional computer graphics (curve and surface display, hidden line and surface elimination and ray-tracing) and VLSI CAD (circuit simu- lation, switch-level simulation Cited by: 2.

Hou E, Ansari N and Ren H () A Genetic Algorithm for Multiprocessor Scheduling, IEEE Transactions on Parallel and Distributed Systems,(), Online publication date: 1-Feb Proebsting T and Fraser C Detecting pipeline structural hazards quickly Proceedings of the 21st ACM SIGPLAN-SIGACT symposium on Principles of programming.

Hypercube 2 Dynamic Interconnects 14 • Less flexible in expressing parallel algorithms, usually exploiting parallelism on array operations, e.g. F90 • Examples: CM2, MsPar time. • Used in shared-memory parallel computers to communicate read and write requests to File Size: KB.

Generalization of the first algorithm uses one of the topological properties of the hypercube graph for partitioning, and gives a class of sorting algorithms with a time complexity of O(n/p log n + p{sup 1+1/k}log{sup 1+k}n), where k is an arbitrary positive integer 0.

A hypercube parallel computer is a network of processors, each with only local memory, whose activities are coordinated by messages the processors send between : George Ostrouchov. Parallel-in-Time Algorithms. Parallel-in-Time (PinT) Algorithms has 12 repositories available.

Follow their code on GitHub. The algorithms were implemented on a 64 node hypercube multiprocessor and time measurements were made as both the problem size and number of processors are varied. A 64 node processor ensemble is measured to be 35 to 52 times as fast as a single processor when the problem size for the ensemble is fixed, and 61 to 63 times as fast as a single processor when problem size per Cited by: 1.

Get this from a library. A parallel algorithm for switch-level timing simulation on a hypercube multiprocessor. [Hariprasad Nannapaneni Rao; United States.

() Parallel simulation on the hypercube multiprocessor. Distributed Computing() Parallel performance and scalability for block Cited by: In this paper, we propose a novel multi-algorithm parallel circuit simulation approach (MAPS) and its multi-core implementation to expedite one of the most fundamental CAD applications: transistor.

No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.

Library of Congress Cataloging-in-Publication Data Miller, Russ. Parallel algorithms for regular architectures: meshes and by: Kiesling T Approximate time-parallel cache simulation Proceedings of the 36th conference on Winter simulation, () JáJá J and Ryu K () Optimal Algorithms on the Pipelined Hypercube and Related Networks, I fell into the latter category and hoped to learn a great deal about parallel algorithms by reviewing this book.

Branch and Bound (BB) algorithms are a generalization of many search algorithms used in Artificial Intelligence and Operations Research. This paper presents our work on implementing BB algorithms on hypercube multiprocessors.

The integer linear programming (ILP) problem is taken as an example because it can be implemented to capture the essence of BB search algorithms. Multiprocessor Scheduling Using Parallel Genetic Algorithm Nourah Al-Angari1, Abdullatif ALAbdullatif2 1,2 Computer Science Department, College of Computer & Information Sciences, King Saud University Riyadh, Saudi Arabia Abstract Tasks scheduling is the most challenging problem in the parallel by: 3.Design of parallel algorithms for a distributed memory hypercube A procedure for the efficient programming of a distributed memory message- passing hypercube multicomputer is presented by E L Zapala*, O G Plalat and F F Riverat In order to use a multiprocessor effectively/t is necessary.multiprocessor database machines, these algorithms have received a lot of attention.

In fact, several researchers, including [BARU87, BRAT87, DEWI87, DEWI88, KITS88], have presented performance timings for a variety of distributed join algorithms. However, the more popular parallel join algorithms have never been compared in a.