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Qing Zheng
Computer Scientist, Los Alamos National Lab
qzheng@lanl.gov

I am a Computer Scientist in the High-Performance Computing Design Group at Los Alamos National Laboratory. I perform I/O and storage research that guides the Lab’s future computing platform and storage infrastructure designs. I obtained my PhD in Computer Science from Carnegie Mellon University in 2021, advised by Prof. Garth Gibson and George Amvrosiadis. I am known for my expertise in parallel file systems, key-value storage, and analytical data processing. Some of my projects have been exhibited at local science museums, reported by national media, and recognized with R&D 100 and Supercomputing Best Paper Awards.

Publications

Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience, 2024, International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-10)
Q. Zheng , B. Atkinson , D. Wang , J. Lee , J. Patchett , D. Manno , G. Grider
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CARP: Range Query-Optimized Indexing for Streaming Data, 2024, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24)
A. Jain , C. Cranor , Q. Zheng , B. Settlemyer , G. Amvrosiadis , G. Grider
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Toward Standardized, Open Object-Based Computational Storage For Large-Scale Scientific Data Analytics, 2023, Parallel Data Systems Workshop (PDSW23)
Q. Zheng , J. Lee , D. Manno , G. Grider
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KV-CSD: A Hardware-Accelerated Key-Value Store for Data-Intensive Applications, 2023, IEEE International Conference on Cluster Computing (CLUSTER23), 2023 R&D 100 Award
I. Park , Q. Zheng , D. Manno , S. Yang , J. Lee , D. Bonnie , B. Settlemyer , Y. Kim , W. Chung , G. Grider
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KVRangeDB: Range Queries for A Hash-Based Key-Value Device, 2023, ACM Transactions on Storage
M. Qin , Q. Zheng , J. Lee , B. Settlemyer , F. Wen , N. Reddy , P. Gratz
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GUFI: Fast, Secure File System Metadata Search for Both Privileged and Unprivileged Users, 2022, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22)
D. Manno , J. Lee , P. Challa , Q. Zheng , D. Bonnie , G. Grider , B. Settlemyer
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DeltaFS: A Scalable No-Ground-Truth Filesystem for Massively-Parallel Computing, 2021, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC21), Best Student Paper Finalist
Q. Zheng , C. Cranor , G. Ganger , G. Gibson , G. Amvrosiadis , B. Settlemyer , G. Grider
abstract pdf slides media-report
Streaming Data Reorganization at Scale with DeltaFS Indexed Massive Directories, 2020, ACM Transactions on Storage
Q. Zheng , C. Cranor , A. Jain , G. Ganger , G. Gibson , G. Amvrosiadis , B. Settlemyer , G. Grider
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Mochi: Composing Data Services for High-Performance Computing Environments, 2020, Journal of Computer Science and Technology, 2021 R&D 100 Award
R. Ross , G. Amvrosiadis , P. Carns , C. Cranor , M. Dorier , K. Harms , G. Ganger , G. Gibson , S. Gutierrez , R. Latham , B. Robey , D. Robinson , B. Settlemyer , G. Shipman , S. Snyder , J. Soumagne , Q. Zheng
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FilterKV: Compact Filters for Fast Online Data Partitioning, 2019, IEEE International Conference on Cluster Computing (CLUSTER19)
Q. Zheng , C. Cranor , A. Jain , G. Ganger , G. Gibson , G. Amvrosiadis , B. Settlemyer , G. Grider
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Scaling Embedded In-Situ Indexing with DeltaFS, 2018, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), 2019 R&D 100 Award
Q. Zheng , C. Cranor , D. Guo , G. Ganger , G. Amvrosiadis , G. Gibson , B. Settlemyer , G. Grider , F. Guo
abstract pdf slides animation media-report 1 media-report 2
Software-Defined Storage for Fast Trajectory Queries using a DeltaFS Indexed Massive Directory, 2017, International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW17)
Q. Zheng , G. Amvrosiadis , S. Kadekodi , G. Gibson , C. Cranor , B. Settlemyer , G. Grider , F. Guo
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SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data, 2017, Proceedings of the VLDB Endowment (PVLDB17)
K. Ren , Q. Zheng , J. Arulraj , G. Gibson
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DeltaFS: Exascale File Systems Scale Better Without Dedicated Metadata Servers, 2015, Parallel Data Storage Workshop (PDSW15)
Q. Zheng , K. Ren , G. Gibson , B. Settlemyer , G. Grider
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ShardFS: Replication vs. Caching Strategies for Distributed Metadata Management in Cloud Storage Systems, 2015, ACM Symposium on Cloud Computing (SoCC15)
L. Xiao , K. Ren , Q. Zheng , G. Gibson
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BatchFS: Scaling the File System Control Plane with Client-Funded Metadata Servers, 2014, Parallel Data Storage Workshop (PDSW14)
Q. Zheng , K. Ren , G. Gibson
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IndexFS: Scaling File System Metadata Performance with Stateless Caching and Bulk Insertion, 2014, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC14), Best Paper Award
K. Ren , Q. Zheng , S. Patil , G. Gibson
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COSBench: Cloud Object Storage Benchmark, 2013, ACM/SPEC International Conference on Performance Engineering (ICPE13)
Q. Zheng , H. Chen , Y. Wang , J. Zhang , J. Duan
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COSBench: A Benchmark Tool for Cloud Object Storage Services, 2012, IEEE International Conference on Cloud Computing (CLOUD12)
Q. Zheng , H. Chen , Y. Wang , J. Duan , Z. Huang
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Talks

Toward Open, Standardized Object-Based Computational Storage for Big Data Analytics, 2024, Flash Memory Summit (FMS24)
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Analytics Query Pushdown Using Object-Based Computational Storage, 2024, International Conference on Massive Storage Systems and Technology (MSST24)
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Leveraging Computational Storage for Simulation Science Storage System Design, 2024, Annual Storage Technology Showcase (STS24)
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OCS: Toward Open Object-Based Computational Storage, 2024, Annual Storage Technology Showcase (STS24)
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KV-CSD: An Ordered, Hardware-Accelerated Key-Value Store For Rapid Data Insertion and Queries, 2023, SNIA Storage Developer Conference (SDC23)
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C2: LANL-Seagate's Early Prototype for Near-Data, SQL-Like Query Processing, 2023, UC Santa Cruz Computational I/O Stack Workshop
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KV-CSD: Accelerating Scientific Data Analytics Using Ordered, Hardware-Accelerated Key-Value Stores, 2023, Flash Memory Summit (FMS23)
slides press-release
Accelerated Disks and Flashes: LANL's Early Experience in Speeding Up Analytics Workloads Using Smart Devices, 2023, International Conference on Massive Storage Systems and Technology (MSST23)
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Kinetic Pipe: LANL-Seagate's Early Prototype for Near-Data, SQL-Like Query Processing, 2023, Annual Storage Technology Showcase (STS23)
slides press-release
Kinetic Campaign: Speeding Up Scientific Data Analytics with Computational Storage Drives and Multi-Level Erasure Coding, 2022, Storage Developer Conference (SDC22)
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HPC Driven Motivations for Ordered Key-Value Based Computational Storage, 2022, Flash Memory Summit (FMS22)
slides press-release
From NASD to DeltaFS: CMU and Los Alamos's Efforts in Building Large-Scale Filesystem Metadata, 2021, Storage Developer Conference (SDC21)
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Breaking the Metadata Bottleneck: the Exascale Filesystem DeltaFS as a LANL and Carnegie Mellon Collaboration, 2019, Storage Developer Conference (SDC19)
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Scalable In-situ Indexing For Fast Trajectory Queries, 2018, Los Alamos National Lab Ultrascale System Research Center Annual Symposium
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Parallel In-situ Data Indexing, 2017, Los Alamos National Lab Ultrascale System Research Center Annual Symposium
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In Search of the Right Way for Extreme-Scale HPC Filesystem Metadata, 2015, Los Alamos National Lab Annual HPC Showcase
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Services

PC Member — The 2024 International Parallel Data Systems Workshop (PDSW'24)
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PC Member — The 2024 IEEE International Conference on Cluster Computing (CLUSTER'24)
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PC Member — The 2023 International Parallel Data Systems Workshop (PDSW'23)
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PC Member — The 2023 IEEE International Conference on Cluster Computing (CLUSTER'23)
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PC Member — The 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS'23)
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PC Member — The 2022 International Parallel Data Systems Workshop (PDSW'22)
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PC Member — The 2022 IEEE International Conference on Cluster Computing (CLUSTER'22)
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PC Member — The 2022 Smoky Mountains Computational Sciences and Engineering Conference (SMC'22)
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PC Member — ACM Transaction on Storage (TOS) 2022
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PC Member — The 2022 ACM European Conference on Computer Systems (EuroSys'22)
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