Enhance parallel input/output with cross-bundle aggregation

@article{Wang2016EnhancePI,
  title={Enhance parallel input/output with cross-bundle aggregation},
  author={T. Wang and K. Vasko and Z. Liu and H. Chen and Weikuan Yu},
  journal={The International Journal of High Performance Computing Applications},
  year={2016},
  volume={30},
  pages={241 - 256}
}
  • T. Wang, K. Vasko, +2 authors Weikuan Yu
  • Published 2016
  • Computer Science
  • The International Journal of High Performance Computing Applications
  • The exponential growth of computing power on leadership scale computing platforms imposes grand challenge to scientific applications’ input/output (I/O) performance. To bridge the performance gap between computation and I/O, various parallel I/O libraries have been developed and adopted by computer scientists. These libraries enhance the I/O parallelism by allowing multiple processes to concurrently access the shared data set. Meanwhile, they are integrated with a set of I/O optimization… CONTINUE READING

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