Current Research Project
- Title: A Holistic Approach to Taming Unaligned Writes in Flash Drives (10/01/2019-09/30/2022, NSF, single PI).
- WAFLASH software repository
- Publication:
- Tyler Coy et al., “Compiler Aided Checkpointing using Crash- Consistent Data Structures in NVMM Systems”, ICS’20.
- Yekang Wu et al., “NVSwap: Latency-Aware Swapping in Non-Volatile Main Memory Systems”, NAS’21.
- Zheng Dang et al., “NVAlloc: Rethinking Heap Metadata Management in Persistent Memory Allocators”, ASPLOS’22.
- Shuibing He et al., “WAFLASH: Taming Unaligned Writes in Solid-State Disks”, NAS’22.
- Brandon Lavinsky et al., “PM-Rtree: A Highly-Efficient Crash-Consistent R-tree for Persistent Memory”, SSDBM’22.
- Title: A High-Performance NVMM-aware Collective I/O Framework for Parallel Applications, DoE Visiting Faculty Program (VFP), PI in collaboration with Kesheng Wu (Co-PI) at the Berkeley Lab, summer 2022.
- Software repository
- Publication:
- Title: MRI: Acquisition of a GPU Cluster to Advance the Land Grant Mission at Washington State University Using AI-Driven Research, Senior Personnel in collaboration with Aurora Clark et al. (10/1/2022-09/30/2025, NSF)
Previous Research Project
- Title: QoS-Aware Data-Driven Analytics for Next Generation Synchrophasor Workflows (10/01/2019-09/30/2021, DoE Electricity Industry Technology and Practices Innovation Challenge, single PI)
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- PMUCache software repository
- Publication:
- Ian Kosen et al., “Enabling QoS-Aware Processing of PMU Data on Unified Storage Infrastructure”, SGSMA’19.
- Ian Kosen et al., “UPS: Unified PMU-Data Storage System to Enhance T+D PMU Data Usability”. IEEE Transactions on Smart Grid (TSG), 2019.
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ACKNOWLEDGMENT: We are grateful to the Department of Energy for the sponsorship of this project.
- Title: Accelerating In-situ Scientific Data Analysis using Software-defined Storage Resource Enclaves (6/1/2016-5/31/2019, NSF, single PI).
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- SIREN software repository
- Publication:
- Karki et al., “QoS Support for Scientific Workflows using Software-Defined Storage Resource Enclaves”, IPDPS’18.
- Karki et al., “Enforcing End-to-end I/O Policies for Scientific Workflows using Software-Defined Storage Resource Enclaves”, IEEE Transactions on Multi-Scale Computing Systems (TMSCS), Volume 4, Issue 4, October-December 2018.
ACKNOWLEDGMENT: We are grateful to the National Science Foundation for the sponsorship of this project.