Parallel and Distributed Intelligent Systems Virendrakumar C Bhavsar

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Parallel and Distributed Intelligent Systems Virendrakumar C. Bhavsar Professor and Director, Advanced Computational Research Parallel and Distributed Intelligent Systems Virendrakumar C. Bhavsar Professor and Director, Advanced Computational Research Laboratory Faculty of Computer Science University of New Brunswick Fredericton, NB [email protected] ca www. cs. unb. ca/profs/bhavsar www. cs. unb. ca/acrl

Outline Past Research Work l Current Research Work l Conclusion l Outline Past Research Work l Current Research Work l Conclusion l

Past Research Work Parallel/Distributed Processing - Parallel Computer Architecture - Design and Analysis of Past Research Work Parallel/Distributed Processing - Parallel Computer Architecture - Design and Analysis of Parallel Algorithms - Real-time and Fault-Tolerant Systems Artificial Neural Networks Learning Machines and Evolutionary Computation Computer Graphics n Visualization

Advanced Computational Research Laboratory High Performance Computational Problem. Solving and Visualization Environment l Computational Advanced Computational Research Laboratory High Performance Computational Problem. Solving and Visualization Environment l Computational Experiments in multiple disciplines: CS, Science and Eng. l 16 -Processor IBM SP 3 l Member of C 3. ca Association, Inc. (http: //www. c 3. ca) l

Advanced Computational Research Laboratory www. cs. unb. ca/acrl Virendra Bhavsar, Director l Chris Mac. Advanced Computational Research Laboratory www. cs. unb. ca/acrl Virendra Bhavsar, Director l Chris Mac. Phee, Scientific Computing Support l Sean Seeley, System Administrator l

ACRL’s IBM SP l – 16 processors; 24 Gigabit Ethernet GFLOPS l Disk 4 ACRL’s IBM SP l – 16 processors; 24 Gigabit Ethernet GFLOPS l Disk 4 Winterhawk II nodes High Perforrnance Switch

IBM SP at ACRL: The Clustered SMP Four 4 -way SMPs Each node has IBM SP at ACRL: The Clustered SMP Four 4 -way SMPs Each node has its own copy of the O/S Processors on the node are closer than those on different nodes

IBM Power 3 SP Switch Bidirectional multistage interconnection networks (MIN) l 300 MB/sec bi-directional IBM Power 3 SP Switch Bidirectional multistage interconnection networks (MIN) l 300 MB/sec bi-directional l 1. 2 sec latency l

Past Research Work (cont. ) Multimedia for Education: Intelligent Tutoring Systems n. Multi-Lingual Systems Past Research Work (cont. ) Multimedia for Education: Intelligent Tutoring Systems n. Multi-Lingual Systems and Transliteration n Web Portal with an Intelligent User Profile Generator Multi-Agent Systems Supervision/Co-supervision 50 master's theses; 4 doctoral theses 5 post-doctoral fellows/research associates

Current Research Work Parallel/Distributed Processing -Pa. Grid: A Mesh Partitioner for Computational Grids - Current Research Work Parallel/Distributed Processing -Pa. Grid: A Mesh Partitioner for Computational Grids - Dynamic Partitioning for Efficient Processing on Parallel Computers n Multi-Agent Systems (Distributed Artificial Intelligence) - Multi-Agent System for Automatic Annotation of EST Sequences (funded by ‘The Canadian Potato Genomics’) - CS 6999: Multi-Agent Systems - Dynamic Clustering of Agents in the Café - Agents with Ontology-based Keyphrases and Tree-distance algorithms - Scalability studies of Multi-Agent Systems - e. Commerce applications

Current Research Work ne. Learning (edu. Sorce. Canada Project) - Reuse and exchange course Current Research Work ne. Learning (edu. Sorce. Canada Project) - Reuse and exchange course content stored as “learning objects. ’’ - Implementation and testing of learning objects using Can. Core metadata -XML schema for content packaging - other projects

What is a GRID System l Cooperative network of shared resources - Includes computers, What is a GRID System l Cooperative network of shared resources - Includes computers, network links, human resources and databases l Supports the development of advanced R&D applications in Science, Engineering and Technology Development, Finance and the Arts. March, 2000 Copyright (C) C 3. ca 15

GRID Applications l Large scale and resource intensive frontier applications – R&D applications that GRID Applications l Large scale and resource intensive frontier applications – R&D applications that go beyond current technological capabilities – Technology development applications in multi-media, finance, production arts, hard sciences and engineering. - Multi-media applications such as embedded video, digital video servers and video conferencing. March, 2000 Copyright (C) C 3. ca 16

Current C 3. ca RP Network March, 2000 Copyright (C) C 3. ca 17 Current C 3. ca RP Network March, 2000 Copyright (C) C 3. ca 17

The Canadian Potato Genomics Project ATLANTIC CANADA • 46% of national potato production $1 The Canadian Potato Genomics Project ATLANTIC CANADA • 46% of national potato production $1 Billion/year • Home of Mc. Cain Foods Ltd. $5. 5 billion/year • Potato Research Center of AAFC • Solanum Genomics International Inc.

The Canadian Potato Genomics Project Research Areas • Bioinformatic Analysis • Access to resources The Canadian Potato Genomics Project Research Areas • Bioinformatic Analysis • Access to resources via CBR membership/node status • Raw sequence processing and analysis by Fredericton bioinformatics group (Vector trimming, base calling, clustering, contig assembly, BLAST, an • Relational database management system of CPGP to link NRC (sequencing), CBR and researchers • In silico assignment of gene function • Microarray data

The Canadian Potato Genomics Project Research Areas • Bioinformatic Research To Suit Project Needs The Canadian Potato Genomics Project Research Areas • Bioinformatic Research To Suit Project Needs (UNB): • Autonomous agent development to automatically update sequence annotations • Enhancement of bioinformatic algorithm performance with parallel computing • Algorithm development using annotation information to enhance sequence searching • The application of clustering and learning techniques to the analysis of expression data

tom@ucsd. edu ymasrour@ai. it. nrc. ca ucsd. edu ai. it. nrc. ca S e [email protected] edu [email protected] it. nrc. ca ucsd. edu ai. it. nrc. ca S e r v e r [email protected] it. nrc. ca [email protected] edu [email protected] it. nrc. ca Café anwhere. else [email protected] else Café S e r v e r cs. stir. ac. uk meto. gov. uk S e r v e r Café Clients [email protected] stir. ac. uk [email protected] stir. ac. uk [email protected] stir. ac. uk [email protected] ca [email protected] ca

Performance Evaluation of ACORN l Test-bed: Several Autonomous Servers, each serving autonomous virtual users Performance Evaluation of ACORN l Test-bed: Several Autonomous Servers, each serving autonomous virtual users l Virtual User - capable of creating agents - picks up a topic from a client core’s interest - migrates to other servers - potential destinations

Performance Evaluation of ACORN Performance Evaluation of ACORN

Why learning objects? • COST: 1000 s of colleges have common course topics • Why learning objects? • COST: 1000 s of colleges have common course topics • large numbers of courses are going online • World does not need 1000 s of similar learning topics • World needs only about a dozen Des i(From Downes, 2000) gn c coll ours ecti on o es as obje a f lea cts rnin NOT HTM g L • Expensive to develop so sharing is essential

What is METADATA? data about data Metadata standards are agreed-on criteria for describing data What is METADATA? data about data Metadata standards are agreed-on criteria for describing data to support interoperability Example: January 31, 2001 31 janvier 2001 -01 -31 -2000 31012000

Metadata and RDF implementation * XML * Resource Description Framework (RDF) = structure Metadata Metadata and RDF implementation * XML * Resource Description Framework (RDF) = structure Metadata = semantics & resources

Conclusion Parallel/Distributed Processing Multi-Agent Systems (Distributed Artificial Intelligence) NSERC Project, The Canadian Potato Genomics Conclusion Parallel/Distributed Processing Multi-Agent Systems (Distributed Artificial Intelligence) NSERC Project, The Canadian Potato Genomics Project ne. Learning (edu. Sorce. Canada Project) n Automated and manually-driven user profile generation and update




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