Streamlining High-end Computing with Software Persistent Memory
Project Summary:
In today’s high-end computing (HEC) systems, the parallel file system (PFS) is at the core of the storage infrastructure. PFS deployments are shared by many users and applications, but currently there are no provisions for differentiation of service – data access is provided in a best-effort manner. As systems scale, this limitation can prevent applications from efficiently utilizing the HEC resources while achieving their desired performance and it presents a hurdle to support a large number of data-intensive applications concurrently. This NSF HECURA project tackles the challenges in quality of service (QoS) driven HEC storage management, aiming to support I/O bandwidth guarantees in PFSs.
Participants
- Florida International University
- Dr. Raju Rangaswami
- Dr. Ming Zhao
- Dr. Jason Liu
- Dulcardo A. Clavijo
- Jorge Guerra
- Nathanael Van Vorst
- Sandia National Laboratories
- Ron Oldfield
Publications
Presentations
- 6th IEEE International Conference on Networking, Architecture, and Storage (NAS’11), July 2011.
Related Website
Acknowledgement
| This material is based upon work supported by the National Science Foundation under Grants No. CCF-0937964. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. |  |