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Big Data and HPC.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
IOS Press, Incorporated,
2018.
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| Colección: | Advances in Parallel Computing Ser.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Intro; Title Page; Preface; Contents; State of the Art and Future Scenarios; Runtime System Architecture for Dynamic Adaptive Execution; High Performance Computing and Big Data Convergence: A Technical Review; Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements; Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms; Big Data Challenges; CBIR on Big Data by Use of Deep Learning; APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining; Introduction and Patent Analysis of Signal Processing for Big Data.
- Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem.
- Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index.