1 research outputs found
DAOS for Extreme-scale Systems in Scientific Applications
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 Distributed Asynchronous Object Storage
(DAOS) technology, which is primarily designed to handle the next generation
NVRAM and NVMe technologies envisioned for providing a high bandwidth/IOPS
storage tier close to the compute nodes in an HPC system. In conjunction with
DAOS, the HDF5 library, an I/O library for scientific applications, will
support end-to-end data integrity, fault tolerance, object mapping, index
building and querying. This paper details the implementation and performance of
the HDF5 library built over DAOS by using three representative scientific
application codes.Comment: Submitted to HiPC-2017 on Jun 30 2017, accepted for publication on
Sep 8 2017, withdrawn on Oct 20 2017 b/c no author was able to presen