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ORCID37th SSDBM 2025: Columbus, OH, USA
- Suren Byna, Anthony Kougkas, Sarah Neuwirth, Venkat Vishwanath, Jalil Boukhobza, Alfredo Cuzzocrea, Dong Dai, Jean Bez:
Proceedings of the 37th International Conference on Scalable Scientific Data Management, SSDBM 2025, Columbus, OH, USA, June 23-25, 2025. ACM 2025, ISBN 979-8-4007-1462-7 - Yuta Nakamura
, Xulu Chu, Ignacio Laguna, Tanu Malik:
Accurate Differential Analysis using Record and Selective Replay. 1:1-1:12 - Shang-Lin Li, Tung-Wei Kuo:
Amortized Cost in Graph Reordering: Why BFS Ordering Deserves More Attention. 2:1-2:12 - Lu Xing, Ruihong Wang, Walid G. Aref:
An Adaptive Index for Oscillating Write-Heavy and Read-Heavy Workloads. 3:1-3:12 - Keith Alex Bateman, Neeraj Rajesh, Jaime Cernuda, Luke Logan, Bogdan Nicolae, Franck Cappello, Xian-He Sun, Anthony Kougkas:
DTIO: Data Stack for AI-driven Workflows. 4:1-4:12 - Aliza Lisan, Tapasya Patki, Stephanie Brink, Konstantinos Parasyris, Brian Gunnarson, Giorgis Georgakoudis, Hank Childs:
Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect. 5:1-5:12 - Raghav Mittal, Ayaan Kakkar, Mukesh K. Mohania, Ladjel Bellatreche, Yoshiharu Ishikawa:
Enriching Spatial Indexes For User-Centric And Context-Aware Points Of Interest Search. 6:1-6:12 - Geetesh More, Suprio Ray, Kenneth B. Kent:
FALCON: FPGA Accelerated Lightweight Updatable Learned Index. 7:1-7:12 - Jesun Sahariar Firoz, Hyungro Lee, Luanzheng Guo, Meng Tang, Nathan R. Tallent, Zhen Peng:
FastFlow: Rapid Workflow Response By Prioritizing Critical Data Flows and their Interactions. 8:1-8:12 - Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita:
How to Mine Potentially Popular Items? A Reverse MIPS-based Approach. 9:1-9:11 - Chenxu Niu, Wei Zhang, Mert Side, Yong Chen:
ICEAGE: Intelligent Contextual Exploration and Answer Generation Engine for Scientific Data Discovery. 10:1-10:10 - Abhay Goyal, Sanjay Madria, Samuel Frimpong:
OGLe-Mine: Obstacle-infused Goal-conditioned Learning for Post-disaster Navigation in Underground Mine. 11:1-11:12 - Lam Do, Oghap Kim, Chloe Chai, Ashwin Lall:
The Power of Two: Simplified User Interaction for the Indistinguishability Query. 12:1-12:12 - Eric Pershey, Ben Lenard, Brian R. Toonen, Peter Upton, Alexander Rasin:
A Big Data Approach for Efficient Processing of Machine Operational Data. 13:1-13:6 - Eleni Adamidi, Panayiotis Deligiannis, Nikos Foutris, Thanasis Vergoulis:
A Virtual Laboratory for Managing Computational Experiments. 14:1-14:6 - Kallol Naha, Hasan M. Jamil:
Abstract Visual Scientific Workflow Design using VisFlow 2.0. 15:1-15:6 - Zhaobin Zhu, Chen Wang, Sarah Neuwirth:
Advancing HPC Performance Modeling with an Interactive, Automated and Tool-Agnostic ML-Driven Workflow. 16:1-16:6 - Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita:
Approximate Reverse k-Ranks Queries in High Dimensions. 17:1-17:6 - Louis-Marie Nicolas, Salim Mimouni, Philippe Couvée, Jalil Boukhobza:
Investigating the Use of File Advisory Hints on Lustre and GPFS. 18:1-18:6 - Yoojin Choi, Juhee Han, Kyoseung Koo, Bongki Moon:
Jovis: A Visualization Tool for PostgreSQL Query Optimizer. 19:1-19:6 - Arnab Nandi, Wei-Lun Chao, Rongjun Qin, Carl Boettiger, Hilmar Lapp, Tanya Y. Berger-Wolf:
OmniMesh: Addressing Findability Challenges in Distributed Nature Data Repositories. 20:1-20:6 - Hasan H. Rahman, Jonathan Flores, Lawrence Spear, Lan Li, Hasan M. Jamil:
Potency of Latent Spaces in Inverse Quantum Dye Design. 21:1-21:7 - Yaojie Hu, Ilias Fountalis, Jin Tian, Nikolaos Vasiloglou:
Scalable Tabular Dataset Labeling with Language Models. 22:1-22:6 - Sarah Neuwirth, Hariharan Devarajan, Chen Wang, Jay F. Lofstead:
XIO: Toward eXplainable I/O for HPC Systems. 23:1-23:6 - Alfredo Cuzzocrea:
Vector Databases for Modelling, Managing and Querying Big Scientific Data: Models, Issues, Paradigms. 24:1-24:5
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