Tools for High Performance Computing 2016

Name: Tools for High Performance Computing 2016 | Proceedings of the 10th International Workshop on Parallel Tools for High Performance Computing, October 2016, Stuttgart, Germany
Brand: Springer
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Proceedings of the 10th International Workshop on Parallel Tools for High Performance Computing, October 2016, Stuttgart, Germany

Christoph Niethammer José Gracia Tobias Hilbrich Andreas Knüpfer Michael M. Resch Wolfgang E. Nagel(Herausgeber*in)

Springer (Verlag)

Erschienen am 6. Mai 2017

IX, 140 Seiten

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978-3-319-56702-0 (ISBN)

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Inhalt

Intro
Preface
Contents
Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels
1 Introduction
1.1 Related Work
1.2 Performance Models
1.2.1 Roofline
1.2.2 Execution-Cache-Memory
2 Kerncraft
2.1 Kernel Code
2.2 Machine Description
Compute Architecture
Memory Hierarchy
Benchmarks
2.3 Models
Roofline
ECM
Layer Conditions
Benchmark
2.4 Cache Miss Prediction
2.4.1 Cache Simulation with Pycachesim
2.4.2 Layer Conditions
2.5 Underlying In-Core Execution Prediction
3 Kerncraft Usage
3.1 Single-Core Performance
3.2 Single-Socket Scaling and Saturation Point
3.3 Layer Conditions
4 Future Work
References
Defining and Searching Communication Patterns in Event Graphs Using the g-Eclipse Trace Viewer Plugin
1 Introduction
2 Pattern Definition
3 Pattern Search
3.1 Pattern Description
3.2 Execution of the Description
3.3 Event Sequence Search
Modified Karp-Rabin Algorithm
3.4 Sequence Dependency Graph
3.5 Merge of Potential Matches to Pattern Instances
3.5.1 Constraints for Searching Patterns in Event Graphs
3.5.2 Dynamic Backtracking
4 g-Eclipse Trace Viewer Pattern Search Plugin
5 Examples
6 Future Work
7 Conclusion
References
Monitoring Heterogeneous Applications with the OpenMP Tools Interface
1 Introduction
2 Related Work
3 Integration of the OpenMP Tools Interface
3.1 Integration into the Parallel Runtime
3.2 Integration into the Monitoring Tool
4 Experimental Setup
5 Results
5.1 OmpSs Runtime Improvements
6 Conclusions
References
Extending the Functionality of Score-P Through Plugins: Interfaces and Use Cases
1 Introduction and Related Work
2 Score-P Overview
3 The Metric Plugin Interface
3.1 Metric Design Criteria
3.2 Calls to Plugins
3.3 Introduced Overhead
3.4 Use Case: Uncore Counter
3.5 Use Case: Watchpoints
4 The Substrate Plugin Interface
4.1 Substrates Design Criteria
4.2 Calls to Plugins
4.3 Introduced Overhead
4.4 Use Case: Region-Based Energy Efficiency Tuning
4.5 Use Case: Balancing-Based Energy Efficiency Tuning
4.6 Use Case: Event Flow Graphs
5 Conclusion and Further Work
References
Debugging Latent Synchronization Errors in MPI-3 One-Sided Communication
1 Introduction
2 MPI-3 One-Sided Communication Semantics
2.1 Modeling Memory Consistency
2.2 Consistency Properties
3 Uncovering Latent Synchronization Errors
3.1 Conceptual Overview
3.2 Nasty-MPI Rescheduling Process
3.2.1 Completion Stage
3.2.2 Atomicity Stage
3.2.3 Reordering Stage
4 Experimental Evaluation
4.1 Methodology
4.2 Nasty-MPI Test Cases
4.3 Discussion
5 Related Work
6 Conclusion and Future Work
References
Trace-Based Detection of Lock Contentionin MPI One-Sided Communication
1 Introduction
2 Related Work
3 Lock Contention
4 Wait-State Detection
4.1 The Active-Message Infrastructure
4.2 Detecting Lock Contention
5 Results
5.1 Micro Benchmark
5.2 SOR
6 Conclusion and Outlook
References
Machine Learning-Driven Automatic Program Transformationto Increase Performance in Heterogeneous Architectures
1 Introduction
2 Related Work
3 Source-to-Source Transformations
3.1 STML Rules
3.2 Inferring and Annotating Properties
3.3 High-Level Annotations
3.4 Implementation Notes
4 Rule Selection
5 Controlling the Transformation Process with Machine Learning
5.1 Mapping Code to Abstractions
5.2 Deciding Termination with Classification Trees
5.3 Reinforcement Learning
5.4 A Simple Example
6 Results
7 Conclusions and Future Work
References

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