Research

Current Projects

• Efficient and reliable data encoding for extreme-scale simulation and analysis
• Performance characterization and optimization of mobile heterogenous computing systems
• Lossy data compression for IoT datasets

Past Projects

• PnetCDF: A Parallel I/O Library for NetCDF File Access
• Scalable Data Management, Analysis, and Visualization
• Understanding Climate Change: A Data Driven Approach
• Damsel – A Data Model Storage Library for Exascale
• X-Analytics: Scalable and Power Efficient Data Analytics for Hybrid Exascale Systems
• Comparing Data-intensive distributed file systems (in collaboration with CMU)
  • prototype is available here.
• Active Storage with Analytics Capabilities (in collaboration with NU)
• Compiler/runtime based disk power management for scientific applications
• Data prefetching for chip multiprocessors/shared storage caches
• Energy saving through embedded processing on the disks
• Integrated CPU/Link voltage scaling QoS in shared storage systems