Open AccessBook
Parallel Computing Works
Roy Williams,Guiseppe C. Messina,Geoffrey C. Fox,Paul Messina +3 more
- 15 May 1994
288
TL;DR: This chapter discusses synchronous applications, the Zipcode Message-Passing System, and the DIME Programming Environment, which simplifies the development of asynchronous applications.
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Abstract: 1 Introduction 2 Technical Backdrop 3. A Methodology for Computation 4 Synchronous Applications I 5 Express and CrOS 6 Synchronous Applications II 7 Independent Parallelism 8 Full Matrix Algorithms 9 Loosely Synchronous Problems 10 DIME Programming Environment 11 Load Balancing and Optimization 12 Irregular LS Problems 13 Data Parallel C and Fortran 14 Asynchronous Applications 15 High-Level Asynchronous Software 16 The Zipcode Message-Passing System 17 MOVIE 18 Simulation and Analysis 20 Computational Science
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Citations
Grids and grid technologies for wide-area distributed computing
TL;DR: This paper aims to present the state‐of‐the‐art of Grid computing and attempts to survey the major international efforts in developing this emerging technology.
•Book
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things
Kai Hwang,Jack Dongarra,Geoffrey C. Fox +2 more
- 31 Oct 2011
TL;DR: This book will teach you how to create high-performance, scalable, reliable systems, providing comprehensive coverage of distributed and cloud computing, including: Facilitating management, debugging, migration, and disaster recovery through virtualization
367
Cooperative Robotics for Multi-Target Observation
TL;DR: An important issue that arises in the automation of many security, surveillance, and reconnaissance tasks is that of observing (or monitoring) the movements of targets navigating in a bounded area.
160
Cooperative multi-robot observation of multiple moving targets
Lynne E. Parker,B.A. Emmons +1 more
- 20 Apr 1997
TL;DR: This paper investigates the use of a cooperative team of autonomous sensor-based robots for multi-robot observation of multiple moving targets, and presents a distributed approximate approach to solving this problem that combines low-level multi- robot control with higher-level control.
Distributed frameworks and parallel algorithms for processing large-scale geographic data
Ken A. Hawick,Paul Coddington,H. A. James +2 more
- 01 Oct 2003
TL;DR: A historical review of work in this area over the last decade leads us to believe parallel computing will continue to play an important role in GIS and speculate on algorithmic and systems issues for the future.
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