
New Frontiers in High Performance Computing and Big Data
Description
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This book presents papers from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2016. The workshop covered a wide range of topics and new developments related to the solution of intensive and large-scale computing problems, and the contributions included in this volume cover aspects of the evolution of parallel platforms and highlight some of the problems encountered with the development of ever more powerful computing systems. The importance of future large-scale data science applications is also discussed.
The book will be of particular interest to all those involved in the development or application of parallel computing systems.
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Content
- Title Page
- Preface
- Contents
- Architectures
- Exascale Co-Design Progress and Accomplishments
- Application-Specific Energy Modeling of Multi-Core Processors
- Asymptotic Computing - Undoing the Damage
- MPI Streams for HPC Applications
- Advances in Topology-Aware Scheduling in Multidimensional Torus-Based Systems
- Data Science
- Patterns for High Performance Computing and Big Data: State of the Art and Semantic Approaches
- Big Iron, Big Data, and Big Identity
- Programming Big Data Analysis on Clouds and Extreme Scale Systems
- Adaptive Data Placement in Multi-Tiered Data Staging Runtime
- Case Studies
- Parallelizing Big Data Machine Learning Applications with Model Rotation
- How Data Analysis Supports Crime Prediction in Smart Cities
- Merging Data Science and Large Scale Computational Modeling
- Optimizing Science Applications for the Cori, Knights Landing, System at NERSC
- Quantum Annealing and the Satisfiability Problem
- Subject Index
- Author Index
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