LIVE:: a light-weight data workspace for computational science

Known challenges for petascale machines are that (1) the costs of I/O for high performance applications can be substantial, especially for output tasks like checkpointing, and (2) noise from I/O actions can inject undesirable delays into the runtimes of ...

Known challenges for petascale machines are that (1) the costs of I/O for high performance applications can be substantial, especially for output tasks like checkpointing, and (2) noise from I/O actions can inject undesirable delays into the runtimes of ...

Large scale applications are generating a tsunami of data, with understanding driven by finding information hidden within this data. The ever-increasing sizes of output, however, are making it difficult for science users to inspect the data generated by ...