Scientific applications at exascale generate and analyze massive amounts of data. A critical
requirement of these applications is the capability to access and manage this data efficiently …

Exascale I/O initiatives will require new and fully integrated I/O models which are capable of
providing straightforward functionality, fault tolerance and efficiency. One solution is the …

The Hierarchical Data Format 5 (HDF5) has long been defined as one of the most prominent
data models, binary file formats and I/O libraries for storing and managing scientific data …

“Exascale eScience infrastructures” will face important and critical challenges, both from
computational and data perspectives. Increasingly complex and parallel scientific codes will …

" I enjoyed reading this book immensely. The author was uncommonly careful in his
explanations. I'd recommend this book to anyone writing scientific application codes."-Peter …

Exascale computing, ie 1018 FLOPS, is predicted to emerge by 2019 with current trends.
Millions of nodes and billions of threads of execution, producing similarly large concurrent …

The state-of-the-art storage architecture of high-performance computing systems was
designed decades ago, and with today's scale and level of concurrency, it is showing …

Petascale science simulations generate 10s of TBs of application data per day, much of it
devoted to their checkpoint/restart fault tolerance mechanisms. Previous work demonstrated …

Modern-era high performance computing (HPC) systems are providing multiple levels of
memory and storage layers to bridge the performance gap between fast memory and slow …

Gain Critical Insight into the Parallel I/O Ecosystem Parallel I/O is an integral component of
modern high performance computing (HPC), especially in storing and processing very large …