Performance-Aware Component Composition for GPU-based Systems.

• Superior document: Linköping Studies in Science and Technology. Dissertations Series ; v.1581
• Author: Dastgeer, Usman.
• Place / Publishing House: Linköping : : Linkopings Universitet,, 2014.; {copy}2014.
• Year of Publication: 2014
• Edition: 1st ed.
• Language: English
• Series: Linköping Studies in Science and Technology. Dissertations Series
• Physical Description: 1 online resource (258 pages)

Table of Contents

• Front
• Abstract
• Acknowledgements
• 1.1 Motivation
• 1.2 Component-based approach
• 1.3 Optimized composition problem
• 1.4 Our work
• 1.5 Contributions
• 1.6 List of publications
• 1.7 Research Method
• 1.8 Thesis outline
• 2.1 Component-based software engineering
• 2.2 Skeleton programming
• 2.3 Runtime scheduling and selection using a runtime system
• 2.4 Multicore and OpenMP
• 2.5 Programming NVIDIA GPUs
• Chapter 3
• 3.1 SkePU library
• 3.2 Implementation selection
• 3.3 Runtime support for hybrid execution
• 3.4 Evaluation
• 3.5 Case study on MapOverlap2D on CUDA
• 3.6 Summary
• Chapter 4
• 4.1 Introduction
• 4.2 Memory management in SkePU
• 4.3 Evaluation
• 4.4 Containers with StarPU runtime system
• 4.5 SkePU program execution model
• 4.6 Summary
• 5.1 PEPPHER Component model
• 5.2 Composition tool
• 5.3 Prototype implementation
• 5.4 Composition example
• 5.5 Evaluation
• 5.6 Summary
• Chapter 6
• 6.1 GCF Component Model
• 6.2 Global Composition Framework
• 6.3 Evaluation
• 6.4 Global composition
• 6.5 Summary
• 7.1 Three approaches
• 7.2 Concluding remarks
• 8.1 Skeleton programming
• 8.2 Programming approaches for GPU-based systems
• 8.3 Component Models in HPC and Grid Com-puting
• 9.1 SkePU extensions
• 9.2 PEPPHER Composition tool
• 9.3 Global Composition Framework (GCF).