Fleischer et al., 2003
| Publication | Publication Date | Title |
|---|---|---|
| Wolf et al. | Automatic performance analysis of hybrid MPI/OpenMP applications | |
| Luckham | Rapide: A language and toolset for simulation of distributed systems by partial ordering of events | |
| Edwards et al. | Design of embedded systems: Formal models, validation, and synthesis | |
| De Kergommeaux et al. | Pajé, an interactive visualization tool for tuning multi-threaded parallel applications | |
| Wu | Performance evaluation, prediction and visualization of parallel systems | |
| Bansal | Introduction to programming languages | |
| Ihde et al. | A survey of big data, high performance computing, and machine learning benchmarks | |
| Bosilca et al. | The Template Task Graph (TTG)-an emerging practical dataflow programming paradigm for scientific simulation at extreme scale | |
| Deelman et al. | POEMS: end-to-end performance design of large parallel adaptive computational systems | |
| Jacobs et al. | Interactive visual debugging with UML | |
| Fleischer et al. | Experimental algorithmics: From algorithm design to robust and efficient software | |
| Nyland et al. | A design methodology for data-parallel applications | |
| Beebe | A complete bibliography of publications in science of computer programming | |
| Demetrescu et al. | Visualization in algorithm engineering: Tools and techniques | |
| Allombert | Functional abstraction for programming multi-level architectures: formalisation and implementation | |
| Lanaro et al. | Advanced Python Programming: Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns | |
| Nguyen | Advanced Python Programming | |
| Buch | Vector load balancing for high-performance parallel applications | |
| Hough | Debugging parallel programs using abstract visualizations | |
| Le Charlier | Abstract interpretation and finite domain symbolic constraints | |
| DeBardeleben et al. | Building problem-solving environments with the Arches framework | |
| Hui | Visualizing object-method granularity for program parallelization | |
| Kunz | Reverse Engineering Distributed Applications to Understand Their Behaviour | |
| Rutar | Foo's to blame: Techniques for mapping performance data to program variables | |
| Bhatia | An Infrastructure for the Analysis of Communication Patterns in Virtual Topologies |