Spyros Blanas
Computer Science · The Ohio State University
Publications
62
Citations
1,538
Est. group size
—
Recurring co-author estimate
Active years
19
Publishing since 2007
Spyros Blanas works on database systems, focusing on how to make large-scale data processing faster and more reliable using modern computer hardware such as GPUs, high-speed networks (RDMA), and multi-core parallel machines. His work spans building systems that manage huge scientific arrays and tabular data, detecting bugs in databases that arise from concurrent transactions, and designing algorithms for massively parallel computation. This research is aimed at improving the speed, scalability, and correctness of data storage and querying infrastructure used in large computing environments.
Publication output peaked around 2018-2019 and has generally slowed since, settling to a lower but steady pace of about 2-3 papers per year in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- ArrayMorph: Optimizing Hyperslab Queries on the Cloud for Machine Learning Pipelines
Proceedings of the VLDB Endowment · 2025
- Scaling GPU-Accelerated Databases Beyond GPU Memory Size
Proceedings of the VLDB Endowment · 2025
- Special issue: modern hardware
The VLDB Journal · 2024
- IsoPredict: Dynamic Predictive Analysis for Detecting Unserializable Behaviors in Weakly Isolated Data Store Applications
Proceedings of the ACM on Programming Languages · 2024
- <i>SDR</i>Querier: A Visual Querying Framework for Cross-National Survey Data Recycling
IEEE Transactions on Visualization and Computer Graphics · 2023
- Query Processing on Gaming Consoles
2023
- SQRQuerier: A Visual Querying Framework for Cross-national Survey Data Recycling
arXiv (Cornell University) · 2022
- International Workshop on Data Management on New Hardware (DaMoN)
Proceedings of the 2022 International Conference on Management of Data · 2022
- IsoBugView
Proceedings of the VLDB Endowment · 2022
- Beyond MPI
ACM SIGMOD Record · 2021
- Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning
2021
- Algorithms for a Topology-aware Massively Parallel Computation Model
2021
- IsoDiff
Proceedings of the VLDB Endowment · 2020
- Predicting and Comparing the Performance of Array Management Libraries
2020
- Topology-aware Parallel Data Processing: Models, Algorithms and Systems at Scale.
Conference on Innovative Data Systems Research · 2020
- Synthesis lectures on data management×10
- Proceedings of the VLDB Endowment×6
- arXiv (Cornell University)×5
- Encyclopedia of Big Data Technologies×3
- Conference on Innovative Data Systems Research×2
- Lü Xing
Computer Science · Purdue University West Lafayette
- Rubao Lee
Computer Science · The Ohio State University
- Suren Byna
Computer Science · The Ohio State University
- Pouya Kousha
Computer Science · The Ohio State University
- Jiannan Tian
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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