Beowulf Cluster Computing With Linux 2003
- Table of Contents
- BackCover
- Beowulf Cluster Computing with Linux, Second Edition
- Series Foreword
- Foreword
- Preface to the Second Edition
- Acknowledgments for the Second Edition
- Preface to the First Edition
- Chapter 1: So You Want to Use a Cluster
- 1.1 What Is a Cluster?
- 1.2 Why Use a Cluster?
- 1.3 Understanding Application Requirements
- 1.4 Building and Using a Cluster
- 1.5 Another Way to Read This Book
- Part I: Enabling Technologies
- Chapter 2: Node Hardware
- 2.1 Node Hardware Overview
- 2.2 Microprocessor
- 2.3 Memory
- 2.4 IO Channels
- 2.5 Motherboard
- 2.6 Persistent Storage
- 2.7 Video
- 2.8 Peripherals
- 2.9 Packaging
- 2.10 Node Choice and Cluster Construction
- Chapter 3: Linux
- 3.2 The Linux Kernel
- 3.3 Pruning Your Beowulf Node
- 3.4 Scalable Services
- 3.5 Other Considerations
- 3.6 Final Tuning with proc
- 3.7 Conclusions
- Chapter 4: System Area Networks
- 4.1 Network Hardware
- 4.2 Example Networks
- 4.3 Network Software
- 4.4 Performance
- 4.5 Network Choice
- Chapter 5: Configuring and Tuning Cluster Networks
- 5.1 Cluster Network Designs
- 5.2 Internet Protocol Stack
- 5.3 Networking Concepts and Services
- 5.4 Simple Cluster Configuration Walkthrough
- 5.5 Improving Performance
- 5.6 Protecting Your Cluster
- 5.7 Troubleshooting
- Chapter 6: Setting up Clusters
- 6.1 Challenges
- 6.2 Hardware Provisioning Challenges and Best Practices
- 6.3 Different Types of Installation Management
- 6.4 The Basic Steps
- 6.5 NPACI Rocks
- 6.6 The OSCAR Toolkit
- 6.7 Other Important Toolkits
- 6.8 When Things go Wrong
- 6.9 Summary
- Part II: Parallel Programming
- Chapter 7: An Introduction to Writing Parallel Programs for Clusters
- 7.1 Creating Task Parallelism
- 7.2 Operating System Support for Parallelism
- 7.3 Parameter Studies
- 7.4 Sequence Matching in Computational Biology
- 7.5 Decomposing Programs Into Communicating Processes
- Chapter 8: Parallel Programming with MPI
- 8.1 Hello World in MPI
- 8.2 ManagerWorker Example
- 8.3 Two-Dimensional Jacobi Example with One-Dimensional Decomposition
- 8.4 Collective Operations
- 8.5 Parallel Monte Carlo Computation
- 8.6 MPI Programming without MPI
- 8.7 Installing MPICH2 under Linux
- 8.8 Tools for MPI Programs
- 8.9 MPI Implementations for Clusters
- Chapter 9: Advanced Topics in MPI Programming
- 9.2 Fault Tolerance
- 9.3 Revisiting Mesh Exchanges
- 9.4 Motivation for Communicators
- 9.5 More on Collective Operations
- 9.6 Parallel IO
- 9.7 Remote Memory Access
- 9.8 Using C and Fortran 90
- 9.9 MPI, OpenMP, and Threads
- 9.10 Measuring MPI Performance
- 9.11 MPI-2 Status
- Chapter 10: Parallel Virtual Machine
- 10.1 The PVM System
- 10.2 Writing PVM Applications
- 10.3 Installing PVM
- Chapter 11: Fault-Tolerant and Adaptive Programs with PVM
- 11.1 Considerations for Fault Tolerance
- 11.2 Building Fault-Tolerant Parallel Applications
- 11.3 Adaptive Programs
- Chapter 12: Numerical and Scientific Software for Clusters
- 12.1 Dense Linear System Solving
- 12.2 Sparse Linear System Solving
- 12.3 Eigenvalue Problems
- 12.4 FFTW
- 12.5 Load Balancing
- 12.6 Support Libraries
- 12.7 Scientific Applications
- 12.8 Freely Available Software for Linear Algebra on the Web
- Part III: Managing Clusters
- Chapter 13: Cluster Management
- 13.1 Logging
- 13.2 Monitoring, or Measuring Cluster Health
- 13.3 Hardware Failure and Recovery
- 13.4 Software Failure
- 13.5 File System Failure and Recovery
- 13.6 Account Management
- 13.7 Workload Management
- 13.8 Software upgrades
- 13.9 Configuration Management
- 13.10 Conclusion
- Chapter 14: Cluster Workload Management
- 14.1 Goal of Workload Management Software
- 14.2 Workload Management Activities
- 14.3 Conclusions
- Chapter 15: Condor: A Distributed Job Scheduler
- 15.1 Introduction to Condor
- 15.2 Using Condor
- 15.3 Condor Architecture
- 15.4 Configuring Condor
- 15.5 Administration Tools
- 15.6 Cluster Setup Scenarios
- 15.7 Conclusion
- Chapter 16: Maui Scheduler: A High Performance Cluster Scheduler
- 16.2 Installation and Initial Configuration
- 16.3 Advanced Configuration
- 16.4 Steering Workload and Improving Quality of Information
- 16.5 Troubleshooting
- 16.6 Conclusions
- Chapter 17: PBS: Portable Batch System
- 17.1 History of PBS
- 17.2 Using PBS
- 17.3 Installing PBS
- 17.4 Configuring PBS
- 17.5 Managing PBS
- 17.6 Troubleshooting
- Chapter 18: Scyld Beowulf
- 18.2 Using Scyld Beowulf
- 18.3 Administration
- 18.4 Features in Upcoming Releases
- 18.5 Conclusion
- Chapter 19: Parallel IO and the Parallel Virtual File System
- 19.1 Parallel IO Systems
- 19.2 Parallel File System Architectures
- 19.3 File System Access Semantics
- 19.4 Using PVFS
- 19.5 Parallel IO in the Future
- 19.6 Conclusions
- Chapter 20: A Tale of Two Clusters: Chiba City and Jazz
- 20.1 Chiba City
- 20.2 Jazz - A New Production Cluster
- Chapter 21: Conclusions
- 21.2 Future Directions for Clusters
- 21.3 Learning More
- Appendix A: Glossary of Terms
- L-P
- Q-W
- Appendix B: Annotated Reading List
- Appendix C: Annotated URLs
- C.2 Node and Network Hardware
- C.3 Network Security
- C.4 Performance Tools
- C.5 Parallel Programming and Software
- C.6 Scheduling and Management
- References
- Index
- Index_A
- Index_B
- Index_C
- Index_D
- Index_E
- Index_F
- Index_G
- Index_H
- Index_I
- Index_J
- Index_K
- Index_L
- Index_M
- Index_N
- Index_O
- Index_P
- Index_Q
- Index_R
- Index_S
- Index_T
- Index_U
- Index_V
- Index_W
- Index_X
- Index_Y
- Index_Z
- List of Figures
- List of Tables