INTRODUCTION TO PARALLEL COMPUTING 2ND EDITION ANANTH GRAMA PDF
Introduction to Parallel Computing, Second Edition. 1 review. by Vipin Kumar, George Karypis, Anshul Gupta, Ananth Grama. Publisher: Addison-Wesley. pagerank/Introduction to Parallel Computing, Second Edition-Ananth Grama, Anshul Gupta, George Karypis, Vipin resourceone.info Find file Copy path. Introduction to Parallel Computing, Second Edition. By Ananth Grama, Anshul Gupta, George Karypis, Vipin Kumar. Publisher: Addison This book takes into account these new developments as well as covering the more traditional problems.
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Request PDF on ResearchGate | Introduction to Parallel Computing (2nd Edition) size must increase with the number of processing units, i.e. (Grama et al., ). .. A thread is a single sequential flow of control within a process (Ananth. Ananth Grama, Anshul Gupta, George Karypis, Vipin Kumar: “Introduction to Parallel Computing”, Pearson Education,. • Jack Dongarra, Ian Foster. Introduction to Parallel Computing, Second Edition-Ananth Grama, Anshul Gupta, George Karypis, Vipin resourceone.info (mtech2 @resourceone.info).
Introduction to Parallel Computing, 2e provides a basic, in-depth look at techniques for the design and analysis of parallel algorithms and for programming them on commercially available parallel platforms. It provides a broad and balanced coverage of various core topics such as sorting, graph algorithms, discrete optimization techniques, data mining algorithms, and a number of other algorithms used in numerical and scientific computing applications.
Implicit Parallelism: Trends in Microprocessor Architectures. Effect of Granularity and Data Mapping on Performance. Static Distributions: Block, Cyclic, and Block-Cyclic. Pearson offers special pricing when you package your text with other student resources. If you're interested in creating a cost-saving package for your students, contact your Pearson rep. We're sorry! We don't recognize your username or password. Please try again. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning.
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If You're a Student Additional order info. Description Introduction to Parallel Computing, 2e provides a basic, in-depth look at techniques for the design and analysis of parallel algorithms and for programming them on commercially available parallel platforms.
Hybrid Models 3. Bibliographic Remarks Problems 4. Basic Communication Operations 4.
Ring or Linear Array 4. Mesh 4. Hypercube 4. Balanced Binary Tree 4. Detailed Algorithms 4. Cost Analysis 4. All-to-All Broadcast and Reduction 4.
Linear Array and Ring 4. All-Reduce and Prefix-Sum Operations 4. Scatter and Gather 4. All-to-All Personalized Communication 4. Ring 4. Hypercube An Optimal Algorithm 4. Circular Shift 4. Improving the Speed of Some Communication Operations 4. All-Port Communication 4.
Summary 4. Bibliographic Remarks Problems 5. Analytical Modeling of Parallel Programs 5. Sources of Overhead in Parallel Programs 5. Performance Metrics for Parallel Systems 5. Execution Time 5. Total Parallel Overhead 5. Speedup 5. Efficiency 5. Cost 5. The Effect of Granularity on Performance 5.
Scalability of Parallel Systems 5. Scaling Characteristics of Parallel Programs 5. Cost-Optimality and the Isoefficiency Function 5. A Lower Bound on the Isoefficiency Function 5. The Degree of Concurrency and the Isoefficiency Function 5. Asymptotic Analysis of Parallel Programs 5. Other Scalability Metrics 5. Bibliographic Remarks Problems 6. Programming Using the Message-Passing Paradigm 6. Principles of Message-Passing Programming 6. The Building Blocks: Send and Receive Operations 6.
DS 295: Parallel Programming
Non-Blocking Message Passing Operations 6. Communicators 6. Getting Information 6. Sending and Receiving Messages 6. Odd-Even Sort 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.
Barrier 6. Broadcast 6. Reduction 6. Prefix 6.
Gather 6. Scatter 6. One-Dimensional Matrix-Vector Multiplication 6. Single-Source Shortest-Path 6. Sample Sort 6. Groups and Communicators 6. Two-Dimensional Matrix-Vector Multiplication 6. Bibliographic Remarks Problems 7. Programming Shared Address Space Platforms 7.
Introduction to Parallel Computing, 2nd Edition
Thread Basics 7. Why Threads? Thread Basics: 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. Thread Cancellation 7. Composite Synchronization Constructs 7. Read-Write Locks 7. Barriers 7. Tips for Designing Asynchronous Programs 7. The barrier Directive Single Thread Executions: The single and master Directives Critical Sections: The critical and atomic Directives In-Order Execution: The ordered Directive Memory Consistency: The flush Directive 7.
Data Handling in OpenMP 7. Environment Variables in OpenMP 7.
Bibliographic Remarks Problems 8. Dense Matrix Algorithms 8. Matrix-Vector Multiplication 8. Matrix-Matrix Multiplication 8. A Simple Parallel Algorithm 8. Solving a System of Linear Equations 8. Solving a Triangular System: Back-Substitution 8.
Bibliographic Remarks Problems 9.
Sorting 9. Issues in Sorting on Parallel Computers 9. Where the Input and Output Sequences are Stored 9. Sorting Networks 9. Bitonic Sort 9.
Bubble Sort and its Variants 9. Odd-Even Transposition Parallel Formulation 9. Shellsort 9.
Quicksort 9. Parallelizing Quicksort 9.
Introduction to Parallel Computing
Pivot Selection 9.We don't recognize your username or password. The Effect of Granularity on Performance 5. Balanced Binary Tree 4. Serial Polyadic DP Formulations See Dr. Block, Cyclic, and Block-Cyclic. The Pipeline or Producer-Consumer Model 3. Definitions and Representation Hybrid Models 3. Chapter on principles of parallel programming lays out the basis for abstractions that capture critical features of the underlying architecture of algorithmic portability.
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