The Science of Computer Benchmarking Software Environments Tools 1st Edition by Roger Hockney ISBN 0898713633 9780898713633

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Product details:
ISBN 10: 0898713633
ISBN 13: 9780898713633
Author: Roger Hockney

The Science of Computer Benchmarking Software Environments Tools 1st Edition Table of contents:

Part I: Fundamentals of Benchmarking

2. Performance Metrics and Benchmarks

   • Overview of Performance Metrics: Throughput, Latency, Efficiency
   • Standard Benchmarking Definitions and Frameworks
   • Benchmarking for Single-Processor vs. Multi-Processor Systems
   • The Role of Workloads in Benchmarking

3. Designing Benchmarks

   • Benchmark Design Principles and Methodologies
   • Selection of Workloads for Different Architectures
   • Synthetic vs. Real-World Benchmarks
   • The Trade-off Between Accuracy and Generalizability
   • Benchmarking for Different Application Domains (e.g., databases, graphics)

4. Software and Hardware Influences on Benchmarking

   • Impact of Software Stack on Performance
   • Hardware Configuration and Performance Variability
   • Measurement of System Overheads
   • The Role of Operating Systems in Benchmarking

Part II: Benchmarking Tools and Environments

5. Benchmarking Tools and Software Suites

   • Popular Benchmarking Tools: SPEC, Linpack, and Others
   • Benchmarking for Different Programming Environments (e.g., C, Fortran, Java)
   • Tools for Network and Distributed Systems Benchmarking
   • Real-time and Embedded Systems Benchmarking Tools

6. Benchmarking Environments and Setups

   • Setting Up a Benchmarking Environment
   • Isolation and Control in Benchmarking Environments
   • Automated Benchmarking Systems and Platforms
   • Cloud-based Benchmarking and Virtualization

7. Interpreting Benchmark Results

   • Analyzing Benchmark Outputs and Performance Data
   • Statistical Methods for Benchmarking Results
   • Identifying Bottlenecks and Performance Limiting Factors
   • Case Studies in Benchmark Interpretation

Part III: Advanced Benchmarking Topics

8. Benchmarking Multi-core and Multi-threaded Systems

   • Performance Challenges in Multi-core Architectures
   • Benchmarks for Parallel Processing and Concurrency
   • Measuring Scalability and Load Balancing
   • Profiling Tools for Multi-threaded Applications

9. Benchmarking Distributed and Cloud Computing Systems

   • Performance Metrics for Distributed Systems
   • Benchmarks for Cloud Platforms: AWS, Azure, Google Cloud
   • Virtualization and Benchmarking in Cloud Environments
   • Benchmarking in High-Performance Computing (HPC) Clusters

10. Emerging Technologies in Benchmarking

    • Benchmarking for GPUs and Accelerators (e.g., CUDA, OpenCL)
    • Energy Efficiency and Power Consumption Benchmarks
    • Benchmarking for Artificial Intelligence and Machine Learning Systems
    • Benchmarking for Quantum Computing

Part IV: Benchmarking Methodologies and Case Studies

11. Methodological Approaches to Benchmarking

    • Theoretical Approaches to Benchmark Design
    • Empirical Benchmarking Techniques
    • Cross-platform Benchmarking and Comparisons
    • Reproducibility and Validity in Benchmarking Studies

12. Real-world Benchmarking Case Studies

    • Case Study 1: Benchmarking a Personal Computer System
    • Case Study 2: Benchmarking in a Data Center Environment
    • Case Study 3: Benchmarking for Database Systems
    • Case Study 4: Benchmarking for Large-Scale Scientific Computing

Conclusion
13. Future Trends in Computer Benchmarking
– The Evolution of Benchmarking Practices
– Upcoming Challenges in Benchmarking for New Architectures
– The Role of Benchmarking in Advancing Technology
– Ethical Considerations in Benchmark Reporting

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