Current Research Project<\/h2>\n<\/header>\n
<\/p>\n
- \n
- Title: REU Site: Advancing Data-Driven Deep Coupling of Computational Simulations and Experiments<\/a>, (05\/15\/2023-04\/30\/2026, NSF,\u00a0 PI<\/strong>)<\/li>\n<\/ul>\n
- \n
- Title: Tier 1 UTC: Environmentally Responsible Transportation Center for Communities of Concern<\/a> (ERTC3), Senior Personnel in collaboration with Xianming Shi et al. (6\/1\/2023-12\/31\/2024, DOT)<\/li>\n<\/ul>\n
- \n
- Title: MRI: Acquisition of a GPU Cluster to Advance the Land Grant Mission at Washington State University Using AI-Driven Research<\/a>, Senior Personnel in collaboration with Aurora Clark et al. (10\/1\/2022-09\/30\/2025, NSF)\n
- \n
- Publications:\n
- \n
- Weijian Chen et al., “iCACHE: An Importance-Sampling-Informed Cache for Accelerating I\/O-Bound DNN Model Training”, HPCA-29.<\/li>\n
- Zhe Pan et al., “Efficient Maximal Biclique Enumeration on GPUs”, SC’23.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
![\"\"](\"https:\/\/wpcdn.web.wsu.edu\/wp-vancouverlabs\/uploads\/sites\/1179\/2016\/02\/nsf1.jpg\")
![\"\"](\"https:\/\/wpcdn.web.wsu.edu\/wp-vancouverlabs\/uploads\/sites\/1179\/2019\/05\/wsu-396x149.png\")
![\"\"](\"https:\/\/wpcdn.web.wsu.edu\/wp-vancouverlabs\/uploads\/sites\/1179\/2019\/08\/doe-logo-white-396x264.png\")
![\"\"](\"https:\/\/wpcdn.web.wsu.edu\/wp-vancouverlabs\/uploads\/sites\/1179\/2022\/03\/lbl-logo-600x600-1-396x396.png\")
![\"\"](\"https:\/\/wpcdn.web.wsu.edu\/wp-vancouverlabs\/uploads\/sites\/1179\/2023\/08\/Flag_of_the_United_States_Department_of_Transportation.svg-396x288.png\")
<\/p>\n<\/p><\/div>\n<\/section>\n\n \n\n Previous Research Project<\/h2>\n<\/header>\n
<\/p>\n
- \n
- Title: QoS-Aware Data-Driven Analytics for Next Generation Synchrophasor Workflows<\/a> (10\/01\/2019-09\/30\/2021, DoE Electricity Industry Technology and Practices Innovation Challenge, single PI<\/strong>)<\/li>\n<\/ul>\n
![\"\"](\"https:\/\/wpcdn.web.wsu.edu\/wp-vancouverlabs\/uploads\/sites\/1179\/2022\/03\/Screen-Shot-2022-03-11-at-7.00.09-AM-396x292.png\")
<\/p>\n- \n
- \n
- \n
- \n
- \n
- PMUCache software repository<\/a><\/li>\n
- Publication:\n
- \n
- Ian Kosen et al., \u201cEnabling QoS-Aware Processing of PMU Data on Unified Storage Infrastructure\u201d, SGSMA\u201919.<\/li>\n
- Ian Kosen et al., \u201cUPS: Unified PMU-Data Storage System to Enhance T+D PMU Data Usability\u201d. IEEE Transactions on Smart Grid (TSG), 2019.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
- \n
- 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.\n
- \n
- Software repository<\/li>\n
- Publications\n
- \n
- Keegan et al., “High-Performance PMEM-Aware Collective I\/Os”, research poster, SC’23.<\/li>\n
- Keegan et al., “A High-Performance Collective I\/O Framework Leveraging Node-Local Persistent Memory”, EURO-PAR’24.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
ACKNOWLEDGMENT: We are grateful to the Department of Energy for the sponsorship of this project.<\/strong><\/p>\n
<\/p>\n- \n
- Title: Accelerating In-situ Scientific Data Analysis using Software-defined Storage Resource Enclaves<\/a> (6\/1\/2016-5\/31\/2019, NSF, single PI<\/strong>).<\/li>\n<\/ul>\n\n\n
\u00a0 \u00a0 \u00a0 \u00a0
![\"\"](\"https:\/\/wpcdn.web.wsu.edu\/wp-vancouverlabs\/uploads\/sites\/1179\/2019\/05\/crii-396x173.png\")
<\/p>\n- \n
- \n
- \n
- SIREN software repository<\/a><\/li>\n
- Publication:\n
- \n
- Karki et al., \u201cQoS Support for Scientific Workflows using Software-Defined Storage Resource Enclaves\u201d, IPDPS’18.<\/li>\n
- Karki et al., \u201cEnforcing End-to-end I\/O Policies for Scientific Workflows using Software-Defined Storage Resource Enclaves\u201d, IEEE Transactions on Multi-Scale Computing Systems (TMSCS), Volume 4, Issue 4, October-December 2018.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
- \n
- Title: A Holistic Approach to Taming Unaligned Writes in Flash Drives<\/a> (10\/01\/2019-09\/30\/2023, NSF, single PI<\/strong>).<\/li>\n
![\"\"](\"https:\/\/wpcdn.web.wsu.edu\/wp-vancouverlabs\/uploads\/sites\/1179\/2023\/10\/waflash-396x221.png\")
\n- \n
- WAFLASH software repository<\/a><\/li>\n
- Publication:\n
- \n
- Tyler Coy et al., “Compiler Aided Checkpointing using Crash- Consistent Data Structures in NVMM Systems”, ICS’20.<\/li>\n
- Yekang Wu et al., “NVSwap: Latency-Aware Swapping in Non-Volatile Main Memory Systems”, NAS’21.<\/li>\n
- Zheng Dang et al., “NVAlloc: Rethinking Heap Metadata Management in Persistent Memory Allocators”, ASPLOS’22.<\/li>\n
- Shuibing He et al., “WAFLASH: Taming Unaligned Writes in Solid-State Disks”, NAS’22.<\/li>\n
- Brandon Lavinsky et al., “PM-Rtree: A Highly-Efficient Crash-Consistent R-tree for Persistent Memory”, SSDBM’22.<\/li>\n
- Keegan Sanchez et al., “High-Performance PMEM-Aware Collective I\/Os”, research poster, SC’23.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n
ACKNOWLEDGMENT: We are grateful to the National Science Foundation for the sponsorship of this project.<\/strong><\/p>\n
<\/p>\n<\/p>\n<\/div>\n<\/div><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"
<\/p>\n
Current Research Project<\/h2>\n
<\/p>\n
Title: REU Site: Advancing Data-Driven Deep Coupling of Computational Simulations and Experiments<\/a>, (05\/15\/2023-04\/30\/2026, NSF,\u00a0 PI<\/strong>)<\/p>\n
Title: Tier 1 UTC: Environmentally Responsible Transportation Center for Communities of Concern<\/a> (ERTC3), Senior Personnel in collaboration with Xianming Shi et al. (6\/1\/2023-12\/31\/2024, DOT)<\/p>\n
Title: MRI: Acquisition of a GPU Cluster to Advance the Land Grant Mission at Washington State University Using AI-Driven Research<\/a>, Senior Personnel in collaboration with Aurora Clark et al. (10\/1\/2022-09\/30\/2025, NSF)<\/p>\n
Publications:<\/p>\n
Weijian Chen et al., “iCACHE: An Importance-Sampling-Informed Cache for Accelerating I\/O-Bound DNN Model Training”, HPCA-29.
Zhe Pan et al., “Efficient Maximal Biclique Enumeration on … » More …<\/span><\/a><\/p>\n","protected":false},"author":2132,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-builder.php","meta":{"_wsuwp_accessibility_report":[]},"wsuwp_university_location":[],"wsuwp_university_org":[],"_links":{"self":[{"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/pages\/6"}],"collection":[{"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/users\/2132"}],"replies":[{"embeddable":true,"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":50,"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":411,"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/pages\/6\/revisions\/411"}],"wp:attachment":[{"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/media?parent=6"}],"wp:term":[{"taxonomy":"wsuwp_university_location","embeddable":true,"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/wsuwp_university_location?post=6"},{"taxonomy":"wsuwp_university_org","embeddable":true,"href":"https:\/\/vancouver.labs.wsu.edu\/xuechen-zhang\/wp-json\/wp\/v2\/wsuwp_university_org?post=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- Publication:\n
- Title: A Holistic Approach to Taming Unaligned Writes in Flash Drives<\/a> (10\/01\/2019-09\/30\/2023, NSF, single PI<\/strong>).<\/li>\n
- Publication:\n
- SIREN software repository<\/a><\/li>\n
- \n
- Title: Accelerating In-situ Scientific Data Analysis using Software-defined Storage Resource Enclaves<\/a> (6\/1\/2016-5\/31\/2019, NSF, single PI<\/strong>).<\/li>\n<\/ul>\n
- 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.\n
- Publication:\n
- PMUCache software repository<\/a><\/li>\n
- \n
- \n
- Title: QoS-Aware Data-Driven Analytics for Next Generation Synchrophasor Workflows<\/a> (10\/01\/2019-09\/30\/2021, DoE Electricity Industry Technology and Practices Innovation Challenge, single PI<\/strong>)<\/li>\n<\/ul>\n
- Publications:\n
- Title: MRI: Acquisition of a GPU Cluster to Advance the Land Grant Mission at Washington State University Using AI-Driven Research<\/a>, Senior Personnel in collaboration with Aurora Clark et al. (10\/1\/2022-09\/30\/2025, NSF)\n
- Title: Tier 1 UTC: Environmentally Responsible Transportation Center for Communities of Concern<\/a> (ERTC3), Senior Personnel in collaboration with Xianming Shi et al. (6\/1\/2023-12\/31\/2024, DOT)<\/li>\n<\/ul>\n