Data-Intensive Science

CHAPTER 4

Answering Fundamental Questions about the Universe

Eric S. Myra and F. Douglas Swesty

CONTENTS

4.1    Introduction: Characterizing Problems in Astrophysics

4.2    Data Types

4.3    Dataset Dimensionality and Sizes

4.4    Creation and Organization of Simulation Data: Parallel Computing and I/O

4.5    Geographic Nonlocality of Data: Networking Issues

4.6    Extracting Scientific Meaning: Post-Processing and Analysis of Data

4.7    Data Archiving and the Re-Access of Data

4.8    The Data Pipeline as Part of Workflow

4.9    Scientific Visualization of Data

4.10  Conclusions

References

4.1    INTRODUCTION: CHARACTERIZING PROBLEMS IN ASTROPHYSICS

Over the past few decades, computational modeling of astrophysical phenomena has emerged ...