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

I’m a Computer Scientist in the High-Performance Computing Design Group at Los Alamos National Laboratory, where I work with industry and academic partners to explore new ideas in storage and data management. I’m passionate about pushing the boundaries of today’s technologies and helping shape the computing environments of tomorrow.

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 in-situ data algorithms. 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

LANL's 2024 Efforts in Enabling Near Data Analysis and Computational Storage, 2024, LANL Efficient Mission Centric Computing Consortium (EMC3) Workshop
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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
abstract slides
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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