Super Abacus : A Beowulf class parallel computer for multimedia signal processing research

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Author(s)

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages162-165
StatePublished - 2001

Conference

Title2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
PlaceHong Kong
CityHong Kong
Period2 - 4 May 2001

Abstract

A few thousands years ago, Chinese people used small rods connected to movable counters such as beadsz to construct a low-cost calculation device, which is called Abacus. Today, Beowulf-class . parallel computer using such similar approach to construct a low-cost supercomputing system, in which Pentium-based computers (beads) are connected by a Fast Ethernet switch (rods) to form a parallel supercomputer. This paper presents our experiences learnt from the construction of a 17-node Beowulf-class cluster called Super Abacus. The system is designed to provide high computational power for handling real-time multimedia signal processing such as audiolvideo compression, multimedia database searching and content-based audiohide0 classification so as to support multimedia signal processing research projects in CityU Image Processing Laboratory. The technologies and methodologies to achieve the goal of lower system cost with better performance will be described.

Citation Format(s)

Super Abacus : A Beowulf class parallel computer for multimedia signal processing research. / Po, Lai-Man; Cheung, Chun-Ho; Wong, Ka-Man.

Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001. 2001. p. 162-165.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review