High-performance IO
Storage has become a key component in HPC systems, and the challenges for the Exascale era are huge. In this research line we address such problems both for data and metadata.
Objectives
- Parallel File System Optimization. Using techniques developed to optimize local storage, we are investigating under the JLESC umbrella, the utilization of such techniques to optimize the I/O Scheduler selected in a PFS.
- Research using new devices. Devices like NVRAM and Kinetic drives are included in our research. We are using them to create new dynamic and multi-paradigm filesystems. We use them into data schedulers research to improve the I/O Stack. We also built hardware and software to know the energy used on storage devices with different workloads.