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New frontiers in high performance computing and big data /
For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering s...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , , |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
IOS Press,
[2017]
|
| Colección: | Advances in parallel computing ;
v. 30. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Machine generated contents note: Architectures
- Exascale Co-Design Progress and Accomplishments / Gwendolyn R. Voskuilen
- Application-Specific Energy Modeling of Multi-Core Processors / Adolfy Hoisie
- Asymptotic Computing
- Undoing the Damage / Matthew Anderson
- MPI Streams for HPC Applications / Erwin Laure
- Advances in Topology-Aware Scheduling in Multidimensional Torus-Based Systems / Jarek Nabrzyski
- Data Science
- Patterns for High Performance Computing and Big Data: State of the Art and Semantic Approaches / Antonio Esposito
- Big Iron, Big Data, and Big Identity / Rafael Tolosana-Calasanz
- Programming Big Data Analysis on Clouds and Extreme Scale Systems / Domenico Talia
- Adaptive Data Placement in Multi-Tiered Data Staging Runtime / Manish Parashar
- Case Studies
- Parallelizing Big Data Machine Learning Applications with Model Rotation / Judy Qiu
- How Data Analysis Supports Crime Prediction in Smart Cities / Domenico Talia
- Merging Data Science and Large Scale Computational Modeling / Isabel Beichl
- Optimizing Science Applications for the Cori, Knights Landing, System at NERSC / Sudip Dosanjh
- Quantum Annealing and the Satisfiability Problem / Steven H. Adachi.