Scalable Input/Output: Achieving System Balance
As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scientific data for research. Scalable Input/Output is a summary of the major research results of the Scalable I/O Initiative, launched by Paul Messina, then Director of the Center for Advanced Computing...
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The major research results from the Scalable Input/Output Initiative, exploring software and algorithmic solutions to the I/O imbalance.
Preface1I/O Characterization and Analysis12Collective I/O and Large-Scale Data Management353Building Parallel Database Systems for Multidimensional Data774ADIO: A Framework for High-Performance, Portable Parallel I/O1115Informed Prefetching of Collective Input/Output Requests1356Compiler Support for Out-of-Core Arrays on Parallel Machines1617CLIP: A Checkpointing Tool for Message Passing Parallel Programs1818Learning to Classify Parallel I/O Access Patterns2019Thread Scheduling for Out-of-Core Applications with a Memory Server23310A Scalability Study of Shared Virtual Memory Systems255AppProposal for a Common Parallel File System Programming InterfaceReferences355
