DIAS publications on

2026

Cracks in the Memory Wall: Data Systems On Disaggregated Memory

Y. Jiang; H. Nicholson; A. Ailamaki 

Datenbank-Spektrum. 2026. DOI : 10.1007/s13222-026-00561-9.

SPARQ: Skew-Aware PIM Accelerator for Relational Join and Select Queries (artifact)

S. Tajdari; A. Ailamaki; S. Dwarkadas 

2026.

Saving GPU Hours in LLM Inference System Development and Online Workloads with Simulation and DBMS-Inspired Cache Replacement Policies

K-M. Kim; J. Li; K. Hong; Q. Liu; D. Huang et al. 

2026

Language-Integrated Recursive Queries

A. Herlihy; A. Shaikhha; A. Ailamaki; M. Odersky 

2026. 40th European Conference on Object-Oriented Programming, Brussels, Belgium, 2026-06-29 – 2026-07-03. DOI : 10.4230/LIPIcs.ECOOP.2026.12.

Modular Substructural Constraints for Embedded DSLs

A. Herlihy; A. Shaikhha; A. Ailamaki; M. Odersky 

2026. 25th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, Brussels, Belgium, 2026-06-29. p. 60 – 71. DOI : 10.1145/3814885.3816411.

When Data and Queries Misalign: Understanding Performance Degradation in Streaming Approximate Nearest Neighbor Search

K. Shastakova; L. Liang; A. Ailamaki 

2026. SIGMOD/PODS ’26: International Conference on Management of Data. 10th Workshop on Data Management for End-to-End Machine Learning (DEEM), Bengaluru, India, 2026-05-31 – 2026-06-05. DOI : 10.1145/3807899.3808687.

Low-Latency Stateful Stream Processing Through Timely and Accurate Prefetching

E. Zapridou; A. Ailamaki 

2026. 2026 IEEE 42nd International Conference on Data Engineering (ICDE), Montreal, QC, Canada, 2026-05-04 – 2026-05-08. p. 2573 – 2586. DOI : 10.1109/icde65706.2026.00192.

Process Faster, Pay Less: Functional Isolation for Stream Processing

E. Zapridou; M. Koepf; P. Sioulas; I. Mytilinis; A. Ailamaki 

2026. 2026 IEEE 42nd International Conference on Data Engineering (ICDE), Montreal, QC, Canada, 2026-05-04 – 2026-05-08. p. 2517 – 2530. DOI : 10.1109/icde65706.2026.00188.

A-Scan: Efficient Scale-Up Analytics via Throughput-Guided Data Movement

H. Nicholson; A. Raza; V. Sanca; A. Ailamaki 

2026. 2026 IEEE 42nd International Conference on Data Engineering (ICDE), Montreal, QC, Canada, 2026-05-04 – 2026-05-08. p. 2711 – 2724. DOI : 10.1109/icde65706.2026.00202.

Data Movement-Aware GPU Sharing for Data-Intensive Systems

Y. Jiang; H. Nicholson; V. Sanca; A. Ailamaki 

2026. 16th Annual Conference on Innovative Data Systems Research (CIDR 2026), Chaminade, USA, 2026-01-18.

Hardware- and Workload-conscious Data Movement for Analytical Query Processing

H. M. H. Nicholson / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2026. 

Scalable and Resource-Efficient Stream Processing

E. Zapridou / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2026. 

2025

HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads

X. Zhang; L. Liang; A. Ailamaki; J. Xu 

2025. 2026 ACM SIGMOD/PODS Conference, Bengaluru, India, 2026-05-31 – 2026-06-05.

Demystifying CXL Memory Bandwidth Expansion for Analytical Workloads

G. Lebedev; H. Nicholson; M. Ünal; S. Kashyap; A. Ailamaki 

2025. 16th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, London, UK, 2025-09-01.

Filtered Vector Search: State-of-the-Art and Research Opportunities

Y. Chronis; H. Caminal; Y. Papakonstantinou; F. Özcan; A. Ailamaki 

Proceedings of the VLDB Endowment. 2025. Vol. 18, num. 12, p. 5488 – 5492. DOI : 10.14778/3750601.3750700.

Static Typing Meets Adaptive Optimization: A Unified Approach to Recursive Queries

A. Herlihy; A. Ailamaki; M. Odersky 

2025. SIGMOD/PODS ’25: International Conference on Management of Data, Berlin, Germany, 2025-06-22 – 2025-06-27. p. 1 – 6. DOI : 10.1145/3735106.3736533.

The Effectiveness of Compression for GPU-Accelerated Queries on Out-of-Memory Datasets

H. Nicholson; K. Chasialis; A. Boffa; A. Ailamaki 

2025. SIGMOD/PODS ’25: International Conference on Management of Data, Berlin Germany, p. 1 – 10. DOI : 10.1145/3736227.3736240.

PixelsDB: Serverless and NL-Aided Data Analytics with Flexible Service Levels and Prices

H. Bian; D. Geng; H. Li; Y. Chai; A. Ailamaki 

2025. 2025 IEEE 41st International Conference on Data Engineering, Hong Kong, Hong Kong, 2025-05-19 – 2025-05-23. p. 4612 – 4615. DOI : 10.1109/ICDE65448.2025.00365.

The Cambridge Report on Database Research

A. Ailamaki; S. Madden; D. Abadi; S. Amer-Yahia; G. Alonso et al. 

2025

Databases in the Era of Memory-Centric Computing

Y. Chronis; A. Ailamaki; L. Benson; H. Caminal; J. Gičeva et al. 

2025. 15th Annual Conference on Innovative Data Systems Research (CIDR 2025), Amsterdam, Netherlands, 2025-01-19 – 2025-01-22.

2024

Trustworthy and Efficient LLMs Meet Databases

K-M. Kim; A. Ailamaki 

2024

Serverless Query Processing with Flexible Performance SLAs and Prices

H. Bian; D. Geng; P. Guo; Y. Chai; A. Ailamaki 

2024

Optimizing Context-Enhanced Relational Joins

V. Sanca; M. Chatzakis; A. Ailamaki 

2024. IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 2024-05-13 – 2024-05-16. p. 501 – 515. DOI : 10.1109/ICDE60146.2024.00045.

Adaptive Recursive Query Optimization

A. Herlihy; G. Martres; A. Ailamaki; M. Odersky 

2024. IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 2024-05-13 – 2024-05-17. p. 368 – 381. DOI : 10.1109/ICDE60146.2024.00035.

Optimizing Goodput through Sharing for Batch Analytics with Deadlines

S. K. Venkatesh; P. Sioulas; A. Pradhan; R. Subramanya; I. Mytilinis et al. 

2024. International Conference on Extending Database Technology, PAESTUM, ITALY, 2024-03-25 – 2024-03-28. DOI : 10.48786/edbt.2024.29.

Oligolithic Cross-task Optimizations across Isolated Workloads.

E. Zapridou; P. Sioulas; A. Ailamaki 

2024. 14th Annual Conference on Innovative Data Systems Research (CIDR’24), Chaminade, USA, January 14–17, 2024,.

Efficient and Reusable Lazy Sampling

V. Sanca; P. Chrysogelos; A. Ailamaki 

SIGMOD Record. 2024. Vol. 53, num. 1, p. 33 – 42.

Efficient Approximate Analytics via Adaptive Context-Conscious Query Processing

V. Sanca / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2024. 

Efficient Data Access Paths for Mixed Vector-Relational Search

V. Sanca; A. Ailamaki 

2024. 20th International Workshop on Data Management on New Hardware (DaMoN), Santiago, Chile, June 10, 2024.

Efficient Operational Analytics on Fresh Data

A. Raza / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2024. 

Efficient Model-Relational Data Management: Challenges and Opportunities

V. Sanca; A. Ailamaki 

IEEE Transactions on Knowledge and Data Engineering. 2024.  p. 1 – 12. DOI : 10.1109/TKDE.2024.3384276.

2023

HPCache: memory-efficient OLAP through proportional caching revisited

H. Nicholson; P. Chrysogelos; A. Ailamaki 

Vldb Journal. 2023. DOI : 10.1007/s00778-023-00828-7.

SH2O: Efficient Data Access for Work-Sharing Databases

P. Sioulas; I. Mytilinis; A. Ailamaki 

Proceedings of the ACM on Management of Data. 2023. Vol. 1, num. 3, p. 1 – 26. DOI : 10.1145/3617340.

Determining an optimum quantity of interleaved instruction streams of defined coroutines

G. Psaropoulos; T. Legler; N. May; A. Ailamaki 

US11789741; US2019278608.

2023.

Chaosity: Understanding Contemporary NUMA-architectures

H. Nicholson; A. Nica; A. Raza; V. Sanca; A. Ailamaki 

2023. Fifteenth TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2023), Vancouver, Canada, August 28, 2023. DOI : 10.1007/978-3-031-68031-1_5.

Improving K-means Clustering Using Speculation

S. Igescu; V. Sanca; E. Zapridou; A. Ailamaki 

2023. Workshop on Applied AI for Database Systems and Applications (AIDB’23), Vancouver, Canada, August 28 – September 1, 2023.

Post-Moore’s Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics

V. Sanca; A. Ailamaki 

2023. Workshop on Accelerating Analytics and Data Management Systems (ADMS’23), Vancouver, Canada, August 28 – September 1, 2023.

E-Scan: Consuming Contextual Data with Model Plugins

V. Sanca; A. Ailamaki 

2023. Second International Workshop on Composable Data Management Systems (CDMS’23), Vancouver, Canada, August 28 – September 1, 2023.

Real-Time Analytics by Coordinating Reuse and Work Sharing

P. Sioulas; I. Mytilinis; A. Ailamaki 

2023

Using Cloud Functions as Accelerator for Elastic Data Analytics

H. Bian; T. Sha; A. Ailamaki 

2023. ACM SIGMOD/PODS International Conference on Management of Data 2023, Seattle, Washington USA, 2023-06-18 – 2023-06-23. DOI : 10.1145/3589306.

One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage

A. Raza; P. Chrysogelos; A. C. Anadiotis; A. Ailamaki 

2023. DOI : 10.1145/3588699.

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

H. Nicholson; A. Raza; P. Chrysogelos; A. Ailamaki 

2023. 13th Annual Conference on Innovative Data Systems Research (CIDR 2023), Amsterdam, The Netherlands, January 8-11, 2023.

Predicting Query Execution time for JIT Compiled Database Engines

K. Chasialis; S. K. Venkatesh; B. Chandra; A. Ailamaki 

2023. 13th Annual Conference on Innovative Data Systems Research (CIDR 2023), Amsterdam, The Netherlands, 2023-01-08 – 2023-01-11.

Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics

V. Sanca; A. Ailamaki 

2023. IEEE 39th International Conference on Data Engineering (ICDE), Anaheim, California, USA, April 3-8, 2023. DOI : 10.1109/ICDE55515.2023.00298.

LAQy: Efficient and Reusable Query Approximations via Lazy Sampling

V. Sanca; P. Chrysogelos; A. Ailamaki 

2023. 2023 ACM SIGMOD/PODS Conference, Seattle, WA, USA, June 18-23, 2023. DOI : 10.1145/3589319.

From Self-managed Database Systems to Runtime-intelligent Analytics

A. Ailamaki 

2023. IEEE 39th International Conference on Data Engineering (ICDE), Anaheim, CA, Apr 03-07, 2023. p. 91 – 91. DOI : 10.1109/CDEW58674.2023.00020.

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

P. Sioulas / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2023. 

2022

The Formidable Mid-Career Crisis

M. T. Ozsu; A. Ailamaki 

Sigmod Record. 2022. Vol. 51, num. 3, p. 40 – 42. DOI : 10.1145/3572751.3572761.

The Seattle report on database research

D. Abadi; A. Ailamaki; D. Andersen; P. Bailis; M. Balazinska et al. 

Communications of the ACM. 2022. Vol. 65, num. 8, p. 72 – 79. DOI : 10.1145/3524284.

Adaptive table placement in NUMA architectures

T. Scheuer; I. Psaroudakis; A. Sellami; N. May; A. Ailamaki 

US11275721; US2017017674.

2022.

Efficient Massively Parallel Join Optimization for Large Queries

R. Mancini; S. K. Venkatesh; B. Chandra; V. Mageirakos; A. Ailamaki 

2022. International Conference on Management of Data (SIGMOD), Philadelphia PA, USA, June 12-17, 2022. p. 122 – 135. DOI : 10.1145/3514221.3517871.

Dalton: Learned Partitioning for Distributed Data Streams

E. Zapridou; I. Mytilinis; A. Ailamaki 

2022. International Conference on Very Large Databases (VLDB 2022), Sydney, Australia, September 5-9, 2022. p. 491 – 504. DOI : 10.14778/3570690.3570699.

Boosting Efficiency of External Pipelines by Blurring Application Boundaries

A. Herlihy; P. Chrysogelos; A. Ailamaki 

2022. 12th Annual Conference on Innovative Data Systems Research (CIDR ’22), Chaminade, USA, January 9-12, 2022.

HPCache: Memory-Efficient OLAP Through Proportional Caching

H. Nicholson; P. Chrysogelos; A. Ailamaki 

2022. SIGMOD/PODS ’22: International Conference on Management of Dataent on New Hardware, Philadelphia PA, USA, June 13, 2022. p. 1 – 9. DOI : 10.1145/3533737.3535100.

Pixels: An Efficient Column Store for Cloud Data Lakes

H. Bian; A. Ailamaki 

2022. 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaisia, May 9-12, 2022. p. 3078 – 3090. DOI : 10.1109/ICDE53745.2022.00276.

Sampling-Based AQP in Modern Analytical Engines

V. Sanca; A. Ailamaki 

2022. SIGMOD/PODS ’22: International Conference on Management of Dataent on New Hardware, Philadelphia PA, USA, June 13, 2022. p. 1 – 8. DOI : 10.1145/3533737.3535095.

The DB Community vis-a-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander?

A. Ailamaki; L. Battle; J. Gehrke; M. Kitsuregawa; D. Maier et al. 

2022. International Conference on Management of Data (SIGMOD), Philadelphia, PA, Jun 12-17, 2022. p. 2498 – 2500. DOI : 10.1145/3514221.3528414.

Efficient GPU-accelerated Join Optimization for Complex Queries

V. Mageirakos; R. Mancini; S. K. Venkatesh; B. Chandra; A. Ailamaki 

2022. 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, May 9-12, 2022. p. 3190 – 3193. DOI : 10.1109/ICDE53745.2022.00295.

Runtime-Optimized Analytics

A. Ailamaki 

30th Italian Symposium on Advanced Database Systems (SEBD 2022), Tirrenia, Italy, 2022-06-19 – 2022-06-20.

Efficient Property Projections of Graph Queries over Relational Data

M. Morales; V. I. Haprian; S. K. Venkatesh; D. Porobic; L. Daynés et al. 

2022. 1 International Workshop on Composable Data Management Systems, Sydney, Australia, 2022-09-09 – 2022-09-09. p. 3324 – 3327.

Efficient Analytical Query Processing on CPU-GPU Hardware Platforms

P. Chrysogelos / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2022. 

2021

Hardware-conscious sliding window aggregation on CPUs

G. Michas; P. Chrysogelos; I. Mytilinis; A. Ailamaki 

2021. 17th International Workshop on Data Management on New Hardware (DAMON 2021), Virtual, Online, China, 2021-06-21 – 2021-06-21. p. 1 – 5. DOI : 10.1145/3465998.3466014.

Message from the Chairs. ICDE 2021

S. Amer-Yahia; R. Cheng; I. Ilyas; A. Ailamaki; M. Garofalakis 

2021. 37th IEEE International Conference on Data Engineering Workshops (ICDEW 2021), Online, 2021-04-19 – 2021-04-22. p. 8 – 10. DOI : 10.1109/ICDEW53142.2021.00005.

Micro-architectural analysis of in-memory OLTP: Revisited

U. Sirin; P. Tözün; D. Porobic; A. Yasin; A. Ailamaki 

The VLDB Journal. 2021. Vol. 30, p. 641 – 665. DOI : 10.1007/s00778-021-00663-8.

Workload Interference Analysis for HTAP

U. Sirin; S. Dwarkadas; A. Ailamaki 

2021. 11th Conference on Innovative Data Systems Research (CIDR 2021), Virtual, Online, 2021-01-11 – 2021-01-15.

Performance Characterization of HTAP Workloads

U. Sirin; S. Dwarkadas; A. Ailamaki 

2021. 37th IEEE International Conference on Data Engineering (IEEE ICDE), ELECTR NETWORK, Apr 19-22, 2021. p. 1829 – 1834. DOI : 10.1109/ICDE51399.2021.00162.

Micro-architectural Analysis of Database Workloads

U. Sirin / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2021. 

Holistic, Efficient, and Real-time Cleaning of Heterogeneous Data

S. A. Giannakopoulou / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2021. 

Accelerating Complex Analytics using Speculation

P. Sioulas; V. Sanca; I. Mytilinis; A. Ailamaki 

2021. CIDR, virtual, via Zoom, January 11-15, 2021.

Scalable Multi-Query Execution using Reinforcement Learning

P. Sioulas; A. Ailamaki 

2021. ACM SIGMOD International Conference on Management of Data, Virtual, China, June 20-25, 2021. DOI : 10.1145/3448016.3452799.

2020

Access pattern based optimization of memory access

G. Psaropoulos; T. Legler; N. May; A. Ailamaki 

US10733185; US2019278858.

2020.

A system design for elastically scaling transaction processing engines in virtualized servers

A-C. Anadiotis; R. Appuswamy; A. Ailamaki; I. Bronshtein; H. Avni et al. 

Proceedings Of The Vldb Endowment. 2020. Vol. 13, num. 12, p. 3085 – 3098. DOI : 10.14778/3415478.3415536.

JIT works: decide when all data is known (VLDB Women in Database Research Award talk)

A. Ailamaki 

Proceedings Of The Vldb Endowment. 2020. Vol. 13, num. 12, p. 3473 – 3473. DOI : 10.14778/3415478.3415569.

A parallel and distributed approach for diversified top-k best region search

H. Shahrivari; M. A. Olma; O. Papapetrou; D. Skoutas; A. Ailamaki 

2020. 23rd International Conference on Extending Database Technology (EDBT 2020), Copenhagen, Denmark, 2020-03-30 – 2020-04-02. p. 265 – 276. DOI : 10.5441/002/edbt.2020.24.

The Seattle Report on Database Research

D. Abadi; A. Ailamaki; D. Andersen; P. Bailis; M. Balazinska et al. 

ACM SIGMOD Record. 2020. Vol. 48, num. 4, p. 44 – 53. DOI : 10.1145/3385658.3385668.

Micro-architectural Analysis of OLAP: Limitations and Opportunities

U. Sirin; A. Ailamaki 

Proceedings Of The Vldb Endowment. 2020. Vol. 13, num. 6, p. 840 – 853. DOI : 10.14778/3380750.3380755.

Task scheduling for highly concurrent analytical and transaction workloads

A. Ailamaki; T. Scheuer; I. Psaroudakis; N. May 

US10545789; US2018246755; EP2819009; US9983903; US2016217003; US9329899; EP2819009; EP2819009; US2014380322.

2020.

Query-driven Repair of Functional Dependency Violations

S. Giannakopoulou; M. Karpathiotakis; A. Ailamaki 

2020. IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, Apr 20-24, 2020. p. 1894 – 1897. DOI : 10.1109/ICDE48307.2020.00195.

Adaptive HTAP through Elastic Resource Scheduling

S. M. A. Raza; P. Chrysogelos; A. C. Anadiotis; A. Ailamaki 

2020

Adaptive HTAP through Elastic Resource Scheduling

A. Raza; P. Chrysogelos; A. C. Anadiotis; A. Ailamaki 

2020. ACM SIGMOD International Conference on Management of Data (SIGMOD), ELECTR NETWORK, Jun 14-19, 2020. p. 2043 – 2054. DOI : 10.1145/3318464.3389783.

The Next 5 Years: What Opportunities Should the Database Community Seize to Maximize its Impact?

M. Balazinska; S. Chaudhuri; A. Ailamaki; J. Freire; S. Krishnamurthy et al. 

2020. ACM SIGMOD International Conference on Management of Data (SIGMOD), ELECTR NETWORK, Jun 14-19, 2020. p. 411 – 413. DOI : 10.1145/3318464.3394837.

Cleaning Denial Constraint Violations through Relaxation

S. Giannakopoulou; M. Karpathiotakis; A. Ailamaki 

2020. ACM SIGMOD International Conference on Management of Data (SIGMOD), ELECTR NETWORK, Jun 14-19, 2020. p. 805 – 815. DOI : 10.1145/3318464.3389775.

GPU-accelerated data management under the test of time

S. M. A. Raza; P. Chrysogelos; P. Sioulas; V. Indjic; A. C. Anadiotis et al. 

2020. 10th Conference on Innovative Data Systems Research (CIDR), Amsterdam, The Netherlands, January 12-15, 2020.

Adaptive partitioning and indexing for in situ query processing

M. Olma; M. Karpathiotakis; I. Alagiannis; M. Athanassoulis; A. Ailamaki 

Vldb Journal. 2020. Vol. 29, num. 1, p. 569 – 591. DOI : 10.1007/s00778-019-00580-x.

2019

The Five-Minute Rule 30 Years Later and Its Impact on the Storage Hierarchy

R. Appuswamy; G. Graefe; R. Borovica-Gajic; A. Ailamaki 

Communications Of The Acm. 2019. Vol. 62, num. 11, p. 114 – 120. DOI : 10.1145/3318163.

Bridging the Latency Gap between NVM and DRAM for Latency-bound Operations

G. Psaropoulos; I. Oukid; T. Legler; N. May; A. Ailamaki 

2019. International Workshop on Data Management on New Hardware (DaMoN’19), Amsterdam, Netherlands, July 1, 2019. DOI : 10.1145/3329785.3329917.

Welcome to Sigmod 2019 – The 2019 ACM SIGMOD International Conference on the Management of Data!

P. Boncz; S. Manegold; A. Ailamaki 

2019. 2019 ACM SIGMOD International Conference on the Management of Data, Amsterdam, 2019-06-30 – 2019-07-05. p. iii – iv.

The SIGMOD 2019 research track reviewing system

A. Ailamaki; P. Chrysogelos; A. Deshpande; T. Kraska 

SIGMOD Record. 2019. Vol. 48, num. 2, p. 47 – 54. DOI : 10.1145/3377330.3377340.

Dictionary Compression in Point Cloud Data Management

M. Pavlovic; K-N. Bastian; H. Gildhoff; A. Ailamaki 

Acm Transactions On Spatial Algorithms And Systems. 2019. Vol. 5, num. 1, p. 3. DOI : 10.1145/3299770.

Toward Intelligent Query Engines

M. A. Olma; S. Giannakopoulou; M. Karpathiotakis; A. Ailamaki 

IEEE Data Engineering Bulletin (Bulletin of the Technical Committee on Data Engineering). 2019. Vol. 42, p. 7 – 18.

Efficient Bundled Spatial Range Queries

E. T. Zacharatou; D. Sidlauskas; F. Tauheed; T. Heinis; A. Ailamaki 

2019. 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), Chicago, IL, Nov 05-08, 2019. p. 139 – 148. DOI : 10.1145/3347146.3359077.

Improving Main-memory Database System Performance through Cooperative Multitasking

G. Psaropoulos / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2019. 

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

P. Chrysogelos; M. Karpathiotakis; R. Appuswamy; A. Ailamaki 

2019. 45th International Conference on Very Large Data Bases, Los Angeles, California, USA, August 26-30, 2019. p. 544 – 556. DOI : 10.14778/3303753.3303760.

Hardware-conscious Hash-Joins on GPUs

P. Sioulas; P. Chrysogelos; M. Karpathiotakis; R. Appuswamy; A. Ailamaki 

2019. IEEE International Conference on Data Engineering, Macau SAR, China, April 8-12, 2019. p. 698 – 709. DOI : 10.1109/ICDE.2019.00068.

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

P. Chrysogelos; P. Sioulas; A. Ailamaki 

2019. 9th Biennial Conference on Innovative Data Systems Research, Asilomar, California, USA, January 13-16, 2019.

Interleaving with coroutines: a systematic and practical approach to hide memory latency in index joins

G. Psaropoulos; T. Legler; N. May; A. Ailamaki 

The VLDB Journal. 2019. Vol. 28, p. 451 – 471. DOI : 10.1007/s00778-018-0533-6.

Time- and Space-Efficient Spatial Data Analytics

M. Pavlovic / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2019. 

Taster: Self-Tuning, Elastic and Online Approximate Query Processing

M. Olma; O. Papapetrou; R. Appuswamy; A. Ailamaki 

2019. 35th IEEE International Conference on Data Engineering (ICDE 2019), Macau SAR, Chine, April 8-11,2019. p. 482 – 493. DOI : 10.1109/ICDE.2019.00050.

Efficient Query Processing for Spatial and Temporal Data Exploration

E. Tzirita Zacharatou / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2019. 

Timely and cost-efficient data exploration through adaptive tuning

M. A. Olma / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2019. 

2018

Adaptive Cache Mode Selection for Queries over Raw Data

T. Azim; A. Nadeem; A. Ailamaki 

2018. Ninth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), Rio de Janeiro, Brazil, August 27, 2018.

QUASII: QUery-Aware Spatial Incremental Index

M. Pavlovic; D. Sidlauskas; T. Heinis; A. Ailamaki 

2018. 21st International Conference on Extending Database Technology (EDBT), Vienna, Austria, March 26-29, 2018. DOI : 10.5441/002/edbt.2018.29.

Improving Spatial Data Processing by Clipping Minimum Bounding Boxes

D. Sidlauskas; S. Chester; E. Tzirita Zacharatou; A. Ailamaki 

2018. 34th IEEE International Conference on Data Engineering Workshops (ICDEW), Paris, France, April 16-19, 2018. p. 425 – 436. DOI : 10.1109/ICDE.2018.00046.

Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane

H. Doraiswamy; E. Tzirita Zacharatou; F. Miranda; M. Lage; A. Ailamaki et al. 

2018. ACM SIGMOD International Conference on Management of Data, Houston, Texas, USA, June 10-15, 2018. DOI : 10.1145/3183713.3193559.

Query Processor

A. Ailamaki; I. Pandis 

Encyclopedia of Database Systems; New York: Springer, 2018. p. 3058 – 3059.

2017

No data left behind: real-time insights from a complex data ecosystem

M. Karpathiotakis; A. Floratou; F. Ozcan; A. Ailamaki 

2017. Symposium on Cloud Computing, 2017, Santa Clara, California, September 25-27, 2017. DOI : 10.1145/3127479.3131208.

DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data

Y. Tian; I. Alagiannis; E. Liarou; A. Ailamaki; P. Michiardi et al. 

IEEE Transactions on Big Data. 2017. Vol. 3, num. 3, p. 320 – 333. DOI : 10.1109/tbdata.2016.2637356.

Databases on Modern Hardware. Summary

A. Ailamaki; E. Liarou; D. Porobic; P. Tözün; I. Psaroudakis 

Databases on Modern Hardware; Cham: Springer, 2017. p. 83 – 84.

Databases on Modern Hardware. Introduction

A. Ailamaki; E. Liarou; P. Tözün; I. Psaroudakis; D. Porobic 

Databases on Modern Hardware; Cham: Springer, 2017. p. 1 – 5.

Databases on Modern Hardware. Outlook

A. Ailamaki; P. Tözün; E. Liarou; I. Psaroudakis; D. Porobic 

Databases on Modern Hardware; Cham: Springer, 2017. p. 77 – 81.

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory

M. A. Olma; F. Tauheed; T. Heinis; A. Ailamaki 

2017. 29th International Conference on Scientific and Statistical Database Management, Chicago, Illinois, USA, June 27-29, 2017. p. 1 – 12. DOI : 10.1145/3085504.3085519.

Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing

M. A. Olma; M. Karpathiotakis; I. Alagiannis; M. Athanassoulis; A. Ailamaki 

2017. 43rd International Conference on Very Large Data Bases (VLDB 2017), Munich, Germany, 2017-08-28 – 2017-09-01. p. 1106 – 1117. DOI : 10.14778/3115404.3115415.

A Methodology for OLTP Micro-architectural Analysis

U. Sirin; A. (. C. Yasin; A. Ailamaki 

2017. DAMON, Chicago, Illinois, May, 14 – 19, 2017. DOI : 10.1145/3076113.3076116.

Alpine: Efficient In-Situ Data Exploration in the Presence of Updates

A. Anagnostou; M. A. Olma; A. Ailamaki 

2017. SIGMOD’17 2017 International Conference on Management of Data, Chicago, Illinois, USA, 2017-05-14 – 2017-05-19. p. 1651 – 1654. DOI : 10.1145/3035918.3058743.

The next 700 Transaction Processing engines

A. Ailamaki 

2017. SIGMOD’17 2017 International Conference on Management of Data, Chicago, Illinois, USA, 2017-05-14 – 2017-05-19. p. 1 – 2. DOI : 10.1145/3035918.3056095.

GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons

E. Tzirita Zacharatou; H. Doraiswamy; A. Ailamaki; C. Silva; J. Freire 

2017. The 44th International Conference on Very Large Data Bases, Rio de Janeiro, Brazil, August 27-31, 2018. DOI : 10.14778/3157794.3157803.

The Case For Heterogeneous HTAP

R. Appuswamy; M. Karpathiotakis; D. Porobic; A. Ailamaki 

2017. 8th Biennial Conference on Innovative Data Systems Research, Chaminade, California, January 8-11,2017.

Scaling-up OLAP Workloads

A. Ailamaki; E. Liarou; P. Tözün; D. Porobic; I. Psaroudakis 

Databases on Modern Hardware; Cham: Springer, 2017. p. 56 – 74.

Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads

R. Appuswamy; A. C. Anadiotis; D. Porobic; M. Iman; A. Ailamaki 

Proceedings of the VLDB Endowment. 2017. Vol. 11, num. 2, p. 121 – 134. DOI : 10.14778/3149193.3149194.