Topological Properties


 Violet Davis
 2 years ago
 Views:
Transcription
1 Advanced Computer Architecture Topological Properties Routing Distance: Number of links on route Node degree: Number of channels per node Network diameter: Longest minimum routing distance between any two nodes, measured in hops Average distance between all pairs of nodes A network is partitioned by a set of links if their removal disconnects the graph. Bisection width: Minimum number of links whose removal disconnects the graph and cuts it in half
2 Chain and Ring Chain (Linear Array): N1 Links > O(N) complexity Node Degree: 12 Diameter = N 1 Average Distance = (N+1)/3 ~ N/3 Bisection Width = 1 Ring (1D Torus): N bidirectional Links > O(N) complexity Node Degree: 2 Diameter N is even: N/2 N is odd: (N1)/2 Average Distance: N is even: N 2 /4/(N1) N is odd: (N+1)/4 ~ N/4 Bisection Width = 2 2D Mesh and Torus Mesh: 2k(k 1) links Node degree: 2 4 Diameter: 2(k 1) Average distance? Bisection width: k Torus: 2k 2 links Node degree: 4 Diameter: k Average distance? Bisection width: 2k
3 Multidimensional Meshes 1D mesh 1D torus 2D mesh 3D mesh d dimensional mesh or torus : N = k d 1 x k d 2...x k 1 x k 0 nodes Described by d vector of coordinates (i d 1,..., i 0 ) Where 0 < i j k j for 0 j d 1 d dimensional k ary mesh: N = k d k = d N Described by d vector of radix k coordinate. Diameter = d (k 1) Multidimensional Tori 2D torus d dimensional dimensional k ary torus: Edges wrap around, every node has degree 2d and is connected to nodes that differ by one (mod k) in every dimension. d dimensional k ary cube: unidirectional links
4 Properties Distance: Relative distance: R = (b d1 a d1,..., b 0 a 0 ) Traverse r i = b i a i hops in each dimension Average Distance: d x k/3 for mesh d x k/4 for torus Degree: d to 2d for mesh 2d for torus Bisection width: k d1 for mesh 2k d1 for torus Examples Which is the order from low to high bisection width for 1024 nodes of the topologies a) bidirectional 2D torus, b) bidirectional ring, c) bidirectional 2D mesh, d) butterfly network e) binary tree?  e), b), c), d), a).  b), e), c), a), d). e), b), c), a), d) Topology: Which is the complexity in terms of switches of a butterfly network which connects 128 processors with 128 memory units?
5 Examples Interconnection networks, topology: Which is the average distance in a butterfly network with 64 nodes? a) 3 b) 4 c) 5 d) 6 = diameter log 2 N, same length for all routes Interconnection networks, topology: How many stages has a butterfly network with 16 nodes? a) 4 b) 6 c) 8 log 2 N d) 16
System Interconnect Architectures. Goals and Analysis. Network Properties and Routing. Terminology  2. Terminology  1
System Interconnect Architectures CSCI 8150 Advanced Computer Architecture Hwang, Chapter 2 Program and Network Properties 2.4 System Interconnect Architectures Direct networks for static connections Indirect
More informationLecture 23: Interconnection Networks. Topics: communication latency, centralized and decentralized switches (Appendix E)
Lecture 23: Interconnection Networks Topics: communication latency, centralized and decentralized switches (Appendix E) 1 Topologies Internet topologies are not very regular they grew incrementally Supercomputers
More informationInterconnection Network Design
Interconnection Network Design Vida Vukašinović 1 Introduction Parallel computer networks are interesting topic, but they are also difficult to understand in an overall sense. The topological structure
More informationInterconnection Network
Interconnection Network Recap: Generic Parallel Architecture A generic modern multiprocessor Network Mem Communication assist (CA) $ P Node: processor(s), memory system, plus communication assist Network
More informationComponents: Interconnect Page 1 of 18
Components: Interconnect Page 1 of 18 PE to PE interconnect: The most expensive supercomputer component Possible implementations: FULL INTERCONNECTION: The ideal Usually not attainable Each PE has a direct
More informationInterconnection Networks Programmierung Paralleler und Verteilter Systeme (PPV)
Interconnection Networks Programmierung Paralleler und Verteilter Systeme (PPV) Sommer 2015 Frank Feinbube, M.Sc., Felix Eberhardt, M.Sc., Prof. Dr. Andreas Polze Interconnection Networks 2 SIMD systems
More informationInterconnection Networks. Interconnection Networks. Interconnection networks are used everywhere!
Interconnection Networks Interconnection Networks Interconnection networks are used everywhere! Supercomputers connecting the processors Routers connecting the ports can consider a router as a parallel
More informationLecture 2 Parallel Programming Platforms
Lecture 2 Parallel Programming Platforms Flynn s Taxonomy In 1966, Michael Flynn classified systems according to numbers of instruction streams and the number of data stream. Data stream Single Multiple
More informationScalable Interconnection Networks
Scalable Interconnection Networks 1 Scalable, High Performance Network At Core of Parallel Computer Architecture Requirements and tradeoffs at many levels Elegant mathematical structure Deep relationships
More informationWhy the Network Matters
Week 2, Lecture 2 Copyright 2009 by W. Feng. Based on material from Matthew Sottile. So Far Overview of Multicore Systems Why Memory Matters Memory Architectures Emerging Chip Multiprocessors (CMP) Increasing
More informationChapter 15: Distributed Structures. Topology
1 1 Chapter 15: Distributed Structures Topology Network Types Operating System Concepts 15.1 Topology Sites in the system can be physically connected in a variety of ways; they are compared with respect
More informationInterconnect. Jesús Labarta. Index
Interconnect Jesús Labarta Index 1 Interconnection networks Need to send messages (commands/responses, message passing) Processors Memory Node Node Interconnection networks Components Links Switches Network
More informationChapter 2. Multiprocessors Interconnection Networks
Chapter 2 Multiprocessors Interconnection Networks 2.1 Taxonomy Interconnection Network Static Dynamic 1D 2D HC Busbased Switchbased Single Multiple SS MS Crossbar 2.2 BusBased Dynamic Single Bus
More informationParallel Programming
Parallel Programming Parallel Architectures Diego FabregatTraver and Prof. Paolo Bientinesi HPAC, RWTH Aachen fabregat@aices.rwthaachen.de WS15/16 Parallel Architectures Acknowledgements Prof. Felix
More informationScalability and Classifications
Scalability and Classifications 1 Types of Parallel Computers MIMD and SIMD classifications shared and distributed memory multicomputers distributed shared memory computers 2 Network Topologies static
More informationInterconnection Networks
CMPT765/408 081 Interconnection Networks Qianping Gu 1 Interconnection Networks The note is mainly based on Chapters 1, 2, and 4 of Interconnection Networks, An Engineering Approach by J. Duato, S. Yalamanchili,
More informationCOMP 422, Lecture 3: Physical Organization & Communication Costs in Parallel Machines (Sections 2.4 & 2.5 of textbook)
COMP 422, Lecture 3: Physical Organization & Communication Costs in Parallel Machines (Sections 2.4 & 2.5 of textbook) Vivek Sarkar Department of Computer Science Rice University vsarkar@rice.edu COMP
More informationAnnotation to the assignments and the solution sheet. Note the following points
Computer rchitecture 2 / dvanced Computer rchitecture Seite: 1 nnotation to the assignments and the solution sheet This is a multiple choice examination, that means: Solution approaches are not assessed
More informationOverlay and P2P Networks. Additional material on DHTs. Prof. Sasu Tarkoma
Overlay and P2P Networks Additional material on DHTs Prof. Sasu Tarkoma 13.2.2014 Additional material Butterfly networks and Viceroy Skip graph CANON: merging Chord rings De Brujn graph Butterfly Geometry
More informationHyper Node Torus: A New Interconnection Network for High Speed Packet Processors
2011 International Symposium on Computer Networks and Distributed Systems (CNDS), February 2324, 2011 Hyper Node Torus: A New Interconnection Network for High Speed Packet Processors Atefeh Khosravi,
More informationChapter 12: Multiprocessor Architectures. Lesson 04: Interconnect Networks
Chapter 12: Multiprocessor Architectures Lesson 04: Interconnect Networks Objective To understand different interconnect networks To learn crossbar switch, hypercube, multistage and combining networks
More informationLecture 18: Interconnection Networks. CMU 15418: Parallel Computer Architecture and Programming (Spring 2012)
Lecture 18: Interconnection Networks CMU 15418: Parallel Computer Architecture and Programming (Spring 2012) Announcements Project deadlines:  Mon, April 2: project proposal: 12 page writeup  Fri,
More informationIntroduction to Parallel Computing. George Karypis Parallel Programming Platforms
Introduction to Parallel Computing George Karypis Parallel Programming Platforms Elements of a Parallel Computer Hardware Multiple Processors Multiple Memories Interconnection Network System Software Parallel
More informationThe Butterfly, CubeConnectedCycles and Benes Networks
The Butterfly, CubeConnectedCycles and Benes Networks Michael Lampis mlambis@softlab.ntua.gr NTUA The Butterfly, CubeConnectedCycles and Benes Networks p.1/16 Introduction Hypercubes are computationally
More informationInterconnection Networks
Interconnection Networks Z. Jerry Shi Assistant Professor of Computer Science and Engineering University of Connecticut * Slides adapted from Blumrich&Gschwind/ELE475 03, Peh/ELE475 * Three questions about
More informationParallel and Distributed Computing Chapter 5: Basic Communications Operations
Parallel and Distributed Computing Chapter 5: Basic Communications Operations Jun Zhang Laboratory for High Performance Computing & Computer Simulation Department of Computer Science University of Kentucky
More informationLOADBALANCED ROUTING IN INTERCONNECTION NETWORKS
LOADBALANCED ROUTING IN INTERCONNECTION NETWORKS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ELECTRICAL ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT
More informationParallel Architectures and Interconnection
Chapter 2 Networks Parallel Architectures and Interconnection The interconnection network is the heart of parallel architecture. Feng [1]  ChuanLin and TseYun 2.1 Introduction You cannot really design
More informationDistributed Computing over Communication Networks: Topology. (with an excursion to P2P)
Distributed Computing over Communication Networks: Topology (with an excursion to P2P) Some administrative comments... There will be a Skript for this part of the lecture. (Same as slides, except for today...
More informationLoad balancing in a heterogeneous computer system by selforganizing Kohonen network
Bull. Nov. Comp. Center, Comp. Science, 25 (2006), 69 74 c 2006 NCC Publisher Load balancing in a heterogeneous computer system by selforganizing Kohonen network Mikhail S. Tarkov, Yakov S. Bezrukov Abstract.
More informationCSE 4351/5351 Notes 7: Task Scheduling & Load Balancing
CSE / Notes : Task Scheduling & Load Balancing Task Scheduling A task is a (sequential) activity that uses a set of inputs to produce a set of outputs. A task (precedence) graph is an acyclic, directed
More informationA RDTBased Interconnection Network for Scalable NetworkonChip Designs
A RDTBased Interconnection Network for Scalable NetworkonChip Designs ang u, Mei ang, ulu ang, and ingtao Jiang Dept. of Computer Science Nankai University Tianjing, 300071, China yuyang_79@yahoo.com.cn,
More informationFrom Hypercubes to Dragonflies a short history of interconnect
From Hypercubes to Dragonflies a short history of interconnect William J. Dally Computer Science Department Stanford University IAA Workshop July 21, 2008 IAA: # Outline The lowradix era Highradix routers
More informationIntroduction to Exploration and Optimization of Multiprocessor Embedded Architectures based on Networks OnChip
Introduction to Exploration and Optimization of Multiprocessor Embedded Architectures based on Networks OnChip Cristina SILVANO silvano@elet.polimi.it Politecnico di Milano, Milano (Italy) Talk Outline
More informationLecture 24: WSC, Datacenters. Topics: networkonchip wrapup, warehousescale computing and datacenters (Sections 6.16.7)
Lecture 24: WSC, Datacenters Topics: networkonchip wrapup, warehousescale computing and datacenters (Sections 6.16.7) 1 Topology Examples Grid Torus Hypercube Criteria 64 nodes Performance Bisection
More informationParallel Algorithms. Introduction
Parallel Algorithms Guy E. Blelloch and Bruce M. Maggs School of Computer Science Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 guyb@cs.cmu.edu, bmm@cs.cmu.edu Introduction The subject
More informationBandwidth Efficient AlltoAll Broadcast on Switched Clusters
Bandwidth Efficient AlltoAll Broadcast on Switched Clusters Ahmad Faraj Pitch Patarasuk Xin Yuan Blue Gene Software Development Department of Computer Science IBM Corporation Florida State University
More informationSocial Media Mining. Graph Essentials
Graph Essentials Graph Basics Measures Graph and Essentials Metrics 2 2 Nodes and Edges A network is a graph nodes, actors, or vertices (plural of vertex) Connections, edges or ties Edge Node Measures
More informationAsynchronous Bypass Channels
Asynchronous Bypass Channels Improving Performance for MultiSynchronous NoCs T. Jain, P. Gratz, A. Sprintson, G. Choi, Department of Electrical and Computer Engineering, Texas A&M University, USA Table
More informationTechnologyDriven, HighlyScalable Dragonfly Topology
TechnologyDriven, HighlyScalable Dragonfly Topology By William J. Dally et al ACAL Group Seminar Raj Parihar parihar@ece.rochester.edu Motivation Objective: In interconnect network design Minimize (latency,
More informationNovel Hierarchical Interconnection Networks for HighPerformance Multicomputer Systems
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 20, 12131229 (2004) Short Paper Novel Hierarchical Interconnection Networks for HighPerformance Multicomputer Systems GENE EU JAN, YUANSHIN HWANG *, MINGBO
More informationNetwork Structure or Topology
Volume 1, Issue 2, July 2013 International Journal of Advance Research in Computer Science and Management Studies Research Paper Available online at: www.ijarcsms.com Network Structure or Topology Kartik
More informationFlattened Butterfly : A CostEfficient Topology for HighRadix Networks
Flattened : A CostEfficient Topology for HighRadix Networks John Kim, William J. Dally Computer Systems Laboratory Stanford University, Stanford, CA 9435 {jjk12, billd}@cva.stanford.edu Dennis Abts Cray
More informationMixedCriticality Systems Based on Time Triggered Ethernet with Multiple Ring Topologies. University of Siegen Mohammed Abuteir, Roman Obermaisser
MixedCriticality s Based on Time Triggered Ethernet with Multiple Ring Topologies University of Siegen Mohammed Abuteir, Roman Obermaisser MixedCriticality s Need for mixedcriticality systems due to
More informationGSAND20151899C. Demonstrating Improved Application Performance Using Dynamic Monitoring and Task Mapping
Exceptional service in the national interest GSAND20151899C Demonstrating Improved Application Performance Using Dynamic Monitoring and Task Mapping J. Brandt, K. Devine, A. Gentile, K. Pedretti Sandia,
More informationBehavior Analysis of Multilayer Multistage Interconnection Network With Extra Stages
Behavior Analysis of Multilayer Multistage Interconnection Network With Extra Stages Thesis submitted in partial fulfillment of the requirements for the award of degree of Master of Engineering in Computer
More informationAdvanced Computer Networks. High Performance Networking I
Advanced Computer Networks 263 3501 00 High Performance Networking I Patrick Stuedi Spring Semester 2014 1 Oriana Riva, Department of Computer Science ETH Zürich Outline Last week: Wireless TCP Today:
More informationModule 5. Broadcast Communication Networks. Version 2 CSE IIT, Kharagpur
Module 5 Broadcast Communication Networks Lesson 1 Network Topology Specific Instructional Objectives At the end of this lesson, the students will be able to: Specify what is meant by network topology
More informationKevin Webb, Alex Snoeren, Ken Yocum UC San Diego Computer Science March 29, 2011 HotICE 2011
Topology witching for Data Center Networks Kevin Webb, Alex noeren, Ken Yocum UC an Diego Computer cience March 29, 2011 HotICE 2011 Data Center Networks Hosting myriad of applications: Big data: MapReduce
More informationBOĞAZİÇİ UNIVERSITY COMPUTER ENGINEERING
Parallel l Tetrahedral Mesh Refinement Mehmet Balman Computer Engineering, Boğaziçi University Adaptive Mesh Refinement (AMR) A computation ti technique used to improve the efficiency i of numerical systems
More informationGeneralized DCell Structure for LoadBalanced Data Center Networks
Generalized DCell Structure for LoadBalanced Data Center Networks Markus Kliegl, Jason Lee,JunLi, Xinchao Zhang, Chuanxiong Guo,DavidRincón Swarthmore College, Duke University, Fudan University, Shanghai
More informationAdvanced Computer Networks 263382500 Network Topologies. Patrick Stuedi, Qin Yin, Timothy Roscoe Spring Semester 2015
Advanced Computer Networks 263382500 Network Topologies Patrick Stuedi, Qin Yin, Timothy Roscoe Spring Semester 2015 1 What is Data Center? 2 Amadeus Data Center 3 DATA CENTER EVOLUTION 4 Data center
More informationKrishna Institute of Engineering & Technology, Ghaziabad Department of Computer Application MCA213 : DATA STRUCTURES USING C
Tutorial#1 Q 1: Explain the terms data, elementary item, entity, primary key, domain, attribute and information? Also give examples in support of your answer? Q 2: What is a Data Type? Differentiate
More informationSimulation Modelling Practice and Theory
Simulation Modelling Practice and Theory 7 (9) 5 5 Contents lists available at ScienceDirect Simulation Modelling Practice and Theory journal homepage: www.elsevier.com/locate/simpat Adaptive routing in
More informationA Source Identification Scheme against DDoS Attacks in Cluster Interconnects
A Source Identification Scheme against DDoS Attacks in Cluster Interconnects Manhee Lee* Eun Jung Kim* Cheol Won Lee *Department of Computer Science Texas A&M University College Station, TX77840 manheelee@tamu.edu,
More information2) What is the structure of an organization? Explain how IT support at different organizational levels.
(PGDIT 01) Paper  I : BASICS OF INFORMATION TECHNOLOGY 1) What is an information technology? Why you need to know about IT. 2) What is the structure of an organization? Explain how IT support at different
More informationPerformance Evaluation of 2DMesh, Ring, and Crossbar Interconnects for Chip Multi Processors. NoCArc 09
Performance Evaluation of 2DMesh, Ring, and Crossbar Interconnects for Chip Multi Processors NoCArc 09 Jesús Camacho Villanueva, José Flich, José Duato Universidad Politécnica de Valencia December 12,
More informationArchitectural Level Power Consumption of Network on Chip. Presenter: YUAN Zheng
Architectural Level Power Consumption of Network Presenter: YUAN Zheng Why Architectural Low Power Design? Highspeed and large volume communication among different parts on a chip Problem: Power consumption
More informationThe fatstack and universal routing in interconnection networks
The fatstack and universal routing in interconnection networks Kevin F. Chen, Edwin H.M. Sha Department of Computer Science, University of Texas at Dallas, Richardson, TX 75083, USA Abstract This paper
More informationDATA STRUCTURES USING C
DATA STRUCTURES USING C QUESTION BANK UNIT I 1. Define data. 2. Define Entity. 3. Define information. 4. Define Array. 5. Define data structure. 6. Give any two applications of data structures. 7. Give
More informationOnChip Interconnection Networks LowPower Interconnect
OnChip Interconnection Networks LowPower Interconnect William J. Dally Computer Systems Laboratory Stanford University ISLPED August 27, 2007 ISLPED: 1 Aug 27, 2007 Outline Demand for OnChip Networks
More informationCommunication Networks. MAPTELE 2011/12 José Ruela
Communication Networks MAPTELE 2011/12 José Ruela Network basic mechanisms Introduction to Communications Networks Communications networks Communications networks are used to transport information (data)
More informationcauseddroppingofthetosbasedroutingrequirementfromtheospfspecication.
ComputerScienceDepartment ImplementationandPerformanceMeasurements CollegePark,MD20742 UniversityofMaryland GeorgeApostolopoulos ofqosroutingextensionstoospf RochGuerin,SanjayKamat protocol,andonvariousperformancemeasurementsmadeonthebasisofthisimplementation
More informationRouting in Switched Networks
Routing in Switched Networks Chapter 12 CS420/520 Axel Krings Page 1 Routing in Circuit Switched Network Many connections will need paths through more than one switch Need to find a route Efficiency Resilience
More informationROUTING? Sorting? Image Processing? Sparse Matrices? Reconfigurable Meshes! P A R C
ROUTING? Sorting? Image Processing? Sparse Matrices? Reconfigurable Meshes! P A R C Heiko Schröder, 1998 Reconfigurable architectures FPGAs reconfigurable multibus reconfigurable networks (Transputers,
More informationAddress for Correspondence Department of Information Technology, Bengal Engineering and Science University, Shibpur Howrah , WB, India
Research Paper DIAMETRICAL MESH OF TREE (D2DMoT) ARCHITECTURE: A NOVEL ROUTING SOLUTION FOR NoC Prasun Ghosal*, Sankar Karmakar Address for Correspondence Department of Information Technology, Bengal
More information102 IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 19, NO. 1, FEBRUARY 2011
102 IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 19, NO. 1, FEBRUARY 2011 Scalable and CostEffective Interconnection of DataCenter Servers Using Dual Server Ports Dan Li, Member, IEEE, Chuanxiong Guo, Haitao
More informationEnergyEfficient Algorithms on MeshConnected Systems with Additional Communication Links
EnergyEfficient Algorithms on MeshConnected Systems with Additional Communication Links by Patrick J. Poon A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor
More informationWide Area Networks. Learning Objectives. LAN and WAN. School of Business Eastern Illinois University. (Week 11, Thursday 3/22/2007)
School of Business Eastern Illinois University Wide Area Networks (Week 11, Thursday 3/22/2007) Abdou Illia, Spring 2007 Learning Objectives 2 Distinguish between LAN and WAN Distinguish between Circuit
More informationMODULE 15 Clustering Large Datasets LESSON 34
MODULE 15 Clustering Large Datasets LESSON 34 Incremental Clustering Keywords: Single Database Scan, Leader, BIRCH, Tree 1 Clustering Large Datasets Pattern matrix It is convenient to view the input data
More informationCray Gemini Interconnect. Technical University of Munich Parallel Programming Class of SS14 Denys Sobchyshak
Cray Gemini Interconnect Technical University of Munich Parallel Programming Class of SS14 Denys Sobchyshak Outline 1. Introduction 2. Overview 3. Architecture 4. Gemini Blocks 5. FMA & BTA 6. Fault tolerance
More informationCSE 5311 Homework 2 Solution
CSE 5311 Homework 2 Solution Problem 6.26 Show that the worstcase running time of MAXHEAPIFY on a heap of size n is Ω(lg n). (Hint: For a heap with n nodes, give node values that cause MAX HEAPIFY
More informationNetwork Performance Comparative Analysis of Torus and Modified Mesh Interconnections with Source Routing for Packet Loss
Network Performance Comparative Analysis of Torus and Modified Mesh Interconnections with Source Routing for Packet Loss Ramesh B., Gururaj H. L., and Chandrika J. Abstract The network topologies performance
More informationLeveraging Torus Topology with Deadlock Recovery for CostEfficient OnChip Network
Leveraging Torus Topology with Deadlock ecovery for CostEfficient OnChip Network Minjeong Shin, John Kim Department of Computer Science KAIST Daejeon, Korea {shinmj, jjk}@kaist.ac.kr Abstract Onchip
More informationData Center Switch Fabric Competitive Analysis
Introduction Data Center Switch Fabric Competitive Analysis This paper analyzes Infinetics data center network architecture in the context of the best solutions available today from leading vendors such
More informationGraph Theory Problems and Solutions
raph Theory Problems and Solutions Tom Davis tomrdavis@earthlink.net http://www.geometer.org/mathcircles November, 005 Problems. Prove that the sum of the degrees of the vertices of any finite graph is
More informationIntroduction to Multiprocessors (Part I) Prof. Cristina Silvano Politecnico di Milano
Introduction to Multiprocessors (Part I) Prof. Cristina Silvano Politecnico di Milano Outline Key issues to design multiprocessors Interconnection network Centralized sharedmemory architectures Distributed
More informationBinary search tree with SIMD bandwidth optimization using SSE
Binary search tree with SIMD bandwidth optimization using SSE Bowen Zhang, Xinwei Li 1.ABSTRACT Inmemory tree structured index search is a fundamental database operation. Modern processors provide tremendous
More informationLOGICAL TOPOLOGY DESIGN Practical tools to configure networks
LOGICAL TOPOLOGY DESIGN Practical tools to configure networks Guido. A. Gavilanes February, 2010 1 Introduction to LTD " Design a topology for specific requirements " A service provider must optimize its
More informationChapter 4 MultiStage Interconnection Networks The general concept of the multistage interconnection network, together with its routing properties, have been used in the preceding chapter to describe
More informationFaultTolerant Routing Algorithm for BSNHypercube Using Unsafety Vectors
Journal of omputational Information Systems 7:2 (2011) 623630 Available at http://www.jofcis.com FaultTolerant Routing Algorithm for BSNHypercube Using Unsafety Vectors Wenhong WEI 1,, Yong LI 2 1 School
More informationDEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING NATIONAL INSTITUTE OF TECHNOLOGY ROURKELA EFFICIENT ROUTER DESIGN FOR NETWORK ON CHIP
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING NATIONAL INSTITUTE OF TECHNOLOGY ROURKELA EFFICIENT ROUTER DESIGN FOR NETWORK ON CHIP SWAPNA S 2013 EFFICIENT ROUTER DESIGN FOR NETWORK ON CHIP A
More informationOptimizing Configuration and Application Mapping for MPSoC Architectures
Optimizing Configuration and Application Mapping for MPSoC Architectures École Polytechnique de Montréal, Canada Email : Sebastien.LeBeux@polymtl.ca 1 MultiProcessor Systems on Chip (MPSoC) Design Trends
More information5. A full binary tree with n leaves contains [A] n nodes. [B] log n 2 nodes. [C] 2n 1 nodes. [D] n 2 nodes.
1. The advantage of.. is that they solve the problem if sequential storage representation. But disadvantage in that is they are sequential lists. [A] Lists [B] Linked Lists [A] Trees [A] Queues 2. The
More informationNetwork System Design Lesson Objectives
Network System Design Lesson Unit 1: INTRODUCTION TO NETWORK DESIGN Assignment Customer Needs and Goals Identify the purpose and parts of a good customer needs report. Gather information to identify network
More informationLayout of the Cubeconnected Cycles without Long Wires
c British Computer Society 2001 Layout of the Cubeconnected Cycles without Long Wires GUIHAI CHEN 1 AND FRANCIS C M LAU 2 1 State Key Lab for Novel Software Technology, Nanjing University, Nanjing 210093,
More informationConclusion and Future Directions
Chapter 9 Conclusion and Future Directions The success of ecommerce and ebusiness applications depends upon the trusted users. Masqueraders use their intelligence to challenge the security during transaction
More informationMedial Axis Construction and Applications in 3D Wireless Sensor Networks
Medial Axis Construction and Applications in 3D Wireless Sensor Networks Su Xia, Ning Ding, Miao Jin, Hongyi Wu, and Yang Yang Presenter: Hongyi Wu University of Louisiana at Lafayette Outline Introduction
More informationData Mining Cluster Analysis: Advanced Concepts and Algorithms. ref. Chapter 9. Introduction to Data Mining
Data Mining Cluster Analysis: Advanced Concepts and Algorithms ref. Chapter 9 Introduction to Data Mining by Tan, Steinbach, Kumar 1 Outline Prototypebased Fuzzy cmeans Mixture Model Clustering Densitybased
More informationInternational Journal of Advanced Research in Computer Science and Software Engineering
Volume 2, Issue 9, September 2012 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com An Experimental
More informationSIMULATION OF LOAD BALANCING ALGORITHMS: A Comparative Study
SIMULATION OF LOAD BALANCING ALGORITHMS: A Comparative Study Milan E. Soklic Abstract This article introduces a new load balancing algorithm, called diffusive load balancing, and compares its performance
More informationHome Page. Data Structures. Title Page. Page 1 of 24. Go Back. Full Screen. Close. Quit
Data Structures Page 1 of 24 A.1. Arrays (Vectors) nelement vector start address + ielementsize 0 +1 +2 +3 +4... +n1 start address continuous memory block static, if size is known at compile time dynamic,
More informationTechnology, Kolkata, INDIA, pal.sanjaykumar@gmail.com. sssarma2001@yahoo.com
Sanjay Kumar Pal 1 and Samar Sen Sarma 2 1 Department of Computer Science & Applications, NSHM College of Management & Technology, Kolkata, INDIA, pal.sanjaykumar@gmail.com 2 Department of Computer Science
More informationJournal of Parallel and Distributed Computing 61, 11481179 (2001) doi:10.1006jpdc.2001.1747, available online at http:www.idealibrary.com on Adaptive Routing on the New Switch Chip for IBM SP Systems Bulent
More information6.02 Practice Problems: Routing
1 of 9 6.02 Practice Problems: Routing IMPORTANT: IN ADDITION TO THESE PROBLEMS, PLEASE SOLVE THE PROBLEMS AT THE END OF CHAPTERS 17 AND 18. Problem 1. Consider the following networks: network I (containing
More informationDistance Degree Sequences for Network Analysis
Universität Konstanz Computer & Information Science Algorithmics Group 15 Mar 2005 based on Palmer, Gibbons, and Faloutsos: ANF A Fast and Scalable Tool for Data Mining in Massive Graphs, SIGKDD 02. Motivation
More informationIntroduction. Advanced Computer Networks
Introduction Advanced Computer Networks Introduction Outline Preliminary definitions Network application paradigms Classifying networks by transmission technology by size/scale by topology Advanced Computer
More informationMulticast Group Management for Interactive Distributed Applications
Multicast Group Management for Interactive Distributed Applications Carsten Griwodz griff@simula.no September 25, 2008 based on the thesis work of KnutHelge Vik, knuthelv@simula.no Group communication
More informationCS 6290 Manycore & Interconnect. Milos Prvulovic Fall 2007
CS 6290 Manycore & Interconnect Milos Prvulovic Fall 2007 Interconnection Networks Classification: Shared Medium or Switched Shared Media Networks Need arbitration to decide who gets to talk Arbitration
More informationVirtual Landmarks for the Internet
Virtual Landmarks for the Internet Liying Tang Mark Crovella Boston University Computer Science Internet Distance Matters! Useful for configuring Content delivery networks Peer to peer applications Multiuser
More information