Beowulf Cluster Computing with Windows

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Beowulf clusters, which exploit mass-market PC hardware and software in conjunction with cost-effective commercial network technology, are becoming the platform for many scientific,engineering, and commercial applications. With growing popularity has come growing complexity.

Addressing that complexity, Beowulf Cluster Computing with Linux and Beowulf Cluster Computing withWindows provide system users and administrators with the tools they need to run the most advancedBeowulf ...

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Overview

Beowulf clusters, which exploit mass-market PC hardware and software in conjunction with cost-effective commercial network technology, are becoming the platform for many scientific,engineering, and commercial applications. With growing popularity has come growing complexity.

Addressing that complexity, Beowulf Cluster Computing with Linux and Beowulf Cluster Computing withWindows provide system users and administrators with the tools they need to run the most advancedBeowulf clusters. The book is appearing in both Linux and Windows versions in order to reach the entire PC cluster community, which is divided into two distinct camps according to the node operating system. Each book consists of three stand-alone parts. The first provides an introduction to the underlying hardware technology, assembly, and configuration. The second part offers a detailed presentation of the major parallel programming librairies. The third, and largest, part describes software infrastructures and tools for managing cluster resources. This includes some of the most popular of the software packages available for distributed task scheduling, as well as tools for monitoring and administering system resources and user accounts. Approximately 75% of the material in the two books is shared, with the other 25% pertaining to the specific operating system.

Most of the chapters include text specific to the operating system. The Linux volume includes a discussion of parallel file systems.

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Product Details

Meet the Author

Thomas Sterling is a Professor of Computer Science at Louisiana State University, a FacultyAssociate at California Institute of Technology, and a Distinguished Visiting Scientist at Oak RidgeNational Laboratory.

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Table of Contents

Series Foreword
Foreword
Preface
1 Introduction 1
1.1 Definitions and Taxonomy 1
1.2 Opportunities and Advantages 3
1.3 A Short History 6
1.4 Elements of a Cluster 8
1.5 Description of the Book 10
I Enabling Technologies
2 An Overview of Cluster Computing 15
2.1 A Taxonomy of Parallel Computing 16
2.2 Hardware System Structure 19
2.3 Node Software 25
2.4 Resource Management 25
2.5 Distributed Programming 27
2.6 Conclusions 29
3 Node Hardware 31
3.1 Overview of a Beowulf Node 32
3.2 Processors 38
3.3 Motherboard 41
3.4 Memory 43
3.5 BIOS 46
3.6 Secondary Storage 47
3.7 PCI Bus 49
3.8 Example of a Beowulf Node 50
3.9 Boxes, Shelves, Piles, and Racks 50
3.10 Node Assembly 52
4 Windows 2000 61
4.1 Introduction to Windows 2000 61
4.2 Operating System Model 61
4.3 System Architecture 72
4.4 Win32 API 91
4.5 Tools to Explore Windows 2000 91
5 Network Hardware 95
5.1 Interconnect Technologies 95
5.2 A Detailed Look at Ethernet 100
5.3 Network Practicalities: Interconnect Choice 106
6 Windows 2000 Networking 113
6.1 Windows 2000 Networking Components 113
6.2 Networking APIs 114
6.3 Network-Resource Name Resolution 132
6.4 Protocol Drivers 138
6.5 NDIS Drivers 141
6.6 Conclusion 148
7 Setting Up Clusters: Installation and Configuration 149
7.1 Resource Considerations 149
7.2 Basic Windows 2000 Cluster Installation Procedure 154
7.3 Off and Running 155
8 How Fast Is My Beowulf? 157
8.1 Metrics 157
8.2 Ping-Pong Test 160
8.3 The LINPACK Benchmark 160
8.4 The NAS Parallel Benchmark Suite 162
II Parallel Programming
9 Parallel Programming with MPI 167
9.1 Hello World in MPI 168
9.2 Manager/Worker Example 175
9.3 Two-Dimensional Jacobi Example with One-Dimensional Decomposition 180
9.4 Collective Operations 184
9.5 Parallel Monte Carlo Computation 189
9.6 Installing MPICH under Windows 2000 189
9.7 Tools 192
9.8 MPI Implementations for Clusters 193
9.9 MPI Routine Summary 193
10 Advanced Topics in MPI Programming 199
10.1 Dynamic Process Management in MPI 199
10.2 Fault Tolerance 202
10.3 Revisiting Mesh Exchanges 204
10.4 Motivation for Communicators 211
10.5 More on Collective Operations 213
10.6 Parallel I/O 215
10.7 Remote Memory Access 221
10.8 Using C++ and Fortran 90 224
10.9 MPI, OpenMP, and Threads 226
10.10 Measuring MPI Performance 227
10.11 MPI-2 Status 229
10.12 MPI Routine Summary 229
11 Parallel Programming with PVM 235
11.1 Overview 235
11.2 Program Examples 240
11.3 Fork/Join 240
11.4 Dot Product 244
11.5 Matrix Multiply 249
11.6 One-Dimensional Heat Equation 255
11.7 Using PVM 263
11.8 PVM Console Details 268
11.9 Host File Options 270
11.10 XPVM 273
12 Fault-Tolerant and Adaptive Programs with PVM 279
12.1 Considerations for Fault Tolerance 280
12.2 Building Fault-Tolerant Parallel Applications 281
12.3 Adaptive Programs 287
III Managing Clusters
13 Cluster Workload Management 299
13.1 Goal of Workload Management Software 299
13.2 Workload Management Activities 300
14 Condor: A Distributed Job Scheduler 307
14.1 Introduction to Condor 307
14.2 Using Condor 312
14.3 Condor Architecture 326
14.4 Installing Condor under Windows 2000 330
14.5 Configuring Condor 332
14.6 Administration Tools 337
14.7 Cluster Setup Scenarios 339
14.8 Conclusion 343
15 Maui Scheduler: A Multifunction Cluster Scheduler 345
15.1 Overview 345
15.2 Installation and Initial Configuration 346
15.3 Advanced Configuration 347
15.4 Steering Workload and Improving Quality of Information 359
15.5 Troubleshooting 361
15.6 Conclusions 361
16 PBS: Portable Batch System 363
16.1 History of PBS 363
16.2 Using PBS 367
16.3 Installing PBS 372
16.4 Configuring PBS 373
16.5 Managing PBS 379
16.6 Troubleshooting 381
17 MPI Software Technology, Inc., Cluster CoNTroller 385
17.1 Overview of Cluster CoNTroller 385
17.2 Installation Configuration 386
17.3 Administrative Features 388
17.4 User Commands 389
17.5 Future Enhancements 397
18 Cornell Theory Center 399
18.1 CTC Users 399
18.2 Systems Overview 400
18.3 Dedicated Clusters 402
18.4 Other Cluster Resources 404
18.5 Providing a Consistent User Interface 405
18.6 Helping Users Get Started 409
18.7 Batch and Interactive Job Scheduling 409
18.8 CTC Success Story 409
19 Conclusions 411
19.1 Future Directions for Hardware Components 411
19.2 Future Directions for Software Components 413
19.3 Final Thoughts 416
A: Glossary of Terms 419
B: Annotated Reading List 431
C: Annotated URLs 433
References 437
Index 439
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Sort by: Showing 1 Customer Reviews
  • Anonymous

    Posted September 7, 2003

    If you know beowulf, you are like me and went WHAT?

    You cant build beowulf on windows. Just like we thought. This book covers 'clustering' in windows and the famous NLB. All in all... garbage.

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