Conference proceeding
Hot-spots and message combining in an interconnection network for broadcast communication
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS I-V, pp 913-919
01 Jan 2000
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Due to advances in fiber-optics and VLSI technology, interconnection networks which allow multiple simultaneous broadcasts are becoming feasible. In such large systems hot-spot contention can occur when several processors concurrently request access to one data structure with resulting severe performance degradation. To minimize the effect of hot-spots in the broadcast architecture, messages are combined to form a new message containing the payloads of all original messages. In this paper, we examine the effect of message combining on the performance of a multiprocessor system based on a broadcast interconnection network using simulation and analytical models under the message-passing paradigm and the presence of hot-spots, and we compare it to similar performance measures on multiprocessor systems based on the corssbar and the torus.
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Details
- Title
- Hot-spots and message combining in an interconnection network for broadcast communication
- Creators
- C KatsinisD Hecht
- Contributors
- H R Arabnia (Editor)
- Publication Details
- PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS I-V, pp 913-919
- Conference
- INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS
- Publisher
- C S R E A Press
- Number of pages
- 7
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000167676300125
- Other Identifier
- 991019170588404721
UN Sustainable Development Goals (SDGs)
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- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Information Systems
- Computer Science, Software Engineering
- Computer Science, Theory & Methods