High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI [Electronic resources] نسخه متنی

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High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI [Electronic resources] - نسخه متنی

Joseph D. Sloan

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High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI

Table of Contents

How to Contact Us

Using Code Examples

Acknowledgments

Part I: An Introduction to Clusters

Chapter 1. Cluster Architecture

1.1 Modern Computing and the Role of Clusters

1.2 Types of Clusters

1.3 Distributed Computing and Clusters

1.4 Limitations

Chapter 2. Cluster Planning

2.1 Design Steps

2.2 Determining Your Cluster's Mission

2.3 Architecture and Cluster Software

2.4 Cluster Kits

2.5 CD-ROM-Based Clusters

Chapter 3. Cluster Hardware

3.1 Design Decisions

3.2 Environment

Chapter 4. Linux for Clusters

4.1 Installing Linux

4.2 Configuring Services

4.3 Cluster Security

Part II: Getting Started Quickly

Chapter 5. openMosix

5.1 What Is openMosix?

5.2 How openMosix Works

5.3 Selecting an Installation Approach

5.4 Installing a Precompiled Kernel

5.5 Using openMosix

5.6 Recompiling the Kernel

5.7 Is openMosix Right for You?

Chapter 6. OSCAR

6.2 What's in OSCAR

6.3 Installing OSCAR

6.4 Security and OSCAR

6.5 Using switcher

6.6 Using LAM/MPI with OSCAR

Chapter 7. Rocks

7.1 Installing Rocks

7.2 Managing Rocks

7.3 Using MPICH with Rocks

Part III: Building Custom Clusters

Chapter 8. Cloning Systems

8.1 Configuring Systems

8.2 Automating Installations

8.3 Notes for OSCAR and Rocks Users

Chapter 9. Programming Software

9.1 Programming Languages

9.2 Selecting a Library

9.5 Other Programming Software

9.6 Notes for OSCAR Users

9.7 Notes for Rocks Users

Chapter 10. Management Software

10.3 Notes for OSCAR and Rocks Users

Chapter 11. Scheduling Software

11.2 Notes for OSCAR and Rocks Users

Chapter 12. Parallel Filesystems

12.2 Using PVFS

12.3 Notes for OSCAR and Rocks Users

Part IV: Cluster Programming

Chapter 13. Getting Started with MPI

13.2 A Simple Problem

13.3 An MPI Solution

13.4 I/O with MPI

13.5 Broadcast Communications

Chapter 14. Additional MPI Features

14.1 More on Point-to-Point Communication

14.2 More on Collective Communication

14.3 Managing Communicators

14.4 Packaging Data

Chapter 15. Designing Parallel Programs

15.2 Problem Decomposition

15.3 Mapping Tasks to Processors

15.4 Other Considerations

Chapter 16. Debugging Parallel Programs

16.1 Debugging and Parallel Programs

16.2 Avoiding Problems

16.3 Programming Tools

16.4 Rereading Code

16.5 Tracing with printf

16.6 Symbolic Debuggers

16.7 Using gdb and ddd with MPI

16.8 Notes for OSCAR and Rocks Users

Chapter 17. Profiling Parallel Programs

17.1 Why Profile?

17.2 Writing and Optimizing Code

17.3 Timing Complete Programs

17.4 Timing C Code Segments

17.7 Customized MPE Logging

17.8 Notes for OSCAR and Rocks Users

Part V: Appendix

Appendix A. References

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