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Given a web graph, compute the page rank of each node. Use MPI – vineethshankar/pagerank. Introduction to Parallel Computing, 2nd Edition. Ananth Grama. George Karypis, Purdue University. Ananth Grama, Purdue University. Vipin Kumar, University of. Introducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures.

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Introducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards. Stay ahead with the world’s most comprehensive technology and business learning platform. Pparallel Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial No credit card required. View table of contents. Book Description Introducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards.

Introduction to Parallel Computing 1. The Data Communication Argument 1. Scope of Parallel Computing 1.

Applications in Engineering and Design 1. Applications in Computer Systems 1. Organization and Contents of the Text 1. Bibliographic Remarks Problems 2.

Parallel Programming Platforms 2. Pipelining and Superscalar Execution 2. Very Long Instruction Word Processors 2. Impact of Memory Bandwidth 2.

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Tradeoffs of Multithreading and Prefetching 2. Dichotomy of Parallel Computing Platforms 2. Control Structure of Parallel Platforms 2.

Physical Organization of Parallel Platforms 2. Interconnection Networks for Parallel Computers 2. Evaluating Static Interconnection Networks 2. Evaluating Dynamic Interconnection Networks 2. Communication Costs in Parallel Machines 2. Routing Mechanisms for Interconnection Networks 2.

Bibliographic Remarks Problems 3. Principles of Parallel Algorithm Design 3. Decomposition, Computlng, and Dependency Graphs 3. Granularity, Concurrency, and Task-Interaction 3.

Processes and Mapping 3. Processes versus Processors 3. Characteristics of Tasks and Interactions 3. Characteristics of Tasks 3. Characteristics of Inter-Task Interactions 3. Mapping Techniques for Load Balancing 3. Methods for Containing Interaction Overheads 3. Maximizing Data Locality 3. Minimizing Contention and Hot Spots 3.

Introduction to Parallel Computing

Overlapping Computations with Interactions 3. Replicating Data or Computations 3. Using Optimized Collective Interaction Operations 3. Overlapping Interactions with Other Interactions 3. Parallel Algorithm Models 3. The Data-Parallel Model 3. The Task Graph Model 3. The Work Pool Model 3.

The Master-Slave Model 3. The Pipeline or Producer-Consumer Model 3.

Bibliographic Remarks Problems 4. Basic Communication Operations 4. Ring or Linear Array 4. Balanced Binary Tree 4. All-to-All Broadcast and Reduction 4.

Introduction to Parallel Computing, Second Edition

Linear Array and Ring 4. All-Reduce and Prefix-Sum Operations 4. Scatter and Gather 4. All-to-All Personalized Communication 4.

Hypercube An Optimal Algorithm 4. Improving the Speed of Some Communication Operations 4. Bibliographic Remarks Problems 5. Analytical Modeling of Parallel Programs 5. Sources of Overhead in Parallel Programs 5. Performance Metrics for Parallel Systems 5. Total Parallel Overhead 5. The Effect of Granularity on Performance 5. Scalability of Parallel Systems 5.

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Scaling Characteristics of Parallel Programs 5. Cost-Optimality and the Isoefficiency Function 5. A Lower Bound on the Isoefficiency Function 5.

Introduction to Parallel Computing, 2nd Edition

The Degree of Concurrency and the Isoefficiency Function 5. Asymptotic Analysis of Parallel Programs 5. Other Scalability Metrics 5. Bibliographic Remarks Problems 6.

Introduction to Parallel Computing, Second Edition [Book]

Programming Using the Message-Passing Paradigm 6. Principles of Message-Passing Programming 6. Send and Receive Operations 6. Non-Blocking Message Passing Operations 6. Sending and Receiving Messages 6. Topologies and Embedding 6.

Creating and Using Cartesian Topologies 6. Overlapping Communication with Computation 6. Non-Blocking Communication Operations Example: Collective Communication and Computation Operations 6. One-Dimensional Matrix-Vector Multiplication 6. Groups and Communicators 6. Two-Dimensional Matrix-Vector Multiplication 6. Bibliographic Remarks Problems 7.

Programming Inrtoduction Address Space Platforms 7. Creation and Termination 7. Synchronization Primitives in Pthreads 7. Condition Variables for Synchronization 7. Controlling Thread and Synchronization Attributes 7.

Attributes Objects for Threads 7. Attributes Objects for Mutexes 7. Composite Synchronization Constructs 7. Tips for Designing Asynchronous Programs 7. The barrier Directive Single Thread Executions: