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.

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.

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.

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.

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.

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.

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.

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.

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 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.

Efficient Approximate Analytics via Adaptive Context-Conscious Query Processing

V. Sanca / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2024. 

Efficient and Reusable Lazy Sampling

V. Sanca; P. Chrysogelos; A. Ailamaki 

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Efficient Analytical Query Processing on CPU-GPU Hardware Platforms

P. Chrysogelos / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2022. 

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.

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 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.

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.

Runtime-Optimized Analytics

A. Ailamaki 

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

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.

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.

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

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

Lausanne, EPFL, 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.

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.

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.

Accelerating Complex Analytics using Speculation

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

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

Micro-architectural Analysis of Database Workloads

U. Sirin / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2021. 

2020

Access pattern based optimization of memory access

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

US10733185; US2019278858.

2020.

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 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.

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.

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 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.

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.

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.

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.

Adaptive HTAP through Elastic Resource Scheduling

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

2020

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.

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.

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.

Time- and Space-Efficient Spatial Data Analytics

M. Pavlovic / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2019. 

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.

Timely and cost-efficient data exploration through adaptive tuning

M. A. Olma / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2019. 

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.

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.

Efficient Query Processing for Spatial and Temporal Data Exploration

E. Tzirita Zacharatou / 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.

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.

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.

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.

Query Processor

A. Ailamaki; I. Pandis 

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

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.

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.

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. Outlook

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

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

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. Summary

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

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

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.

The Five minute Rule Thirty Years Later and its Impact on the Storage Hierarchy

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

2017. Proceedings of the 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, Munich, Germany,

Dictionary Compression in Point Cloud Data Management

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

2017. 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Los Angeles Area, CA, USA, November 7-10, 2017. DOI : 10.1145/3139958.3139969.

Databases on Modern Hardware

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

Cham: Springer, 2017.

Minimizing Memory Stalls

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

Databases on Modern Hardware; Cham: Springer, 2017. p. 27 – 41.

ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data

T. Azim; M. Karpathiotakis; A. Ailamaki 

Proceedings of the VLDB Endowment. 2017. Vol. 11, num. 3, p. 324 – 337. DOI : 10.14778/3157794.3157801.

Exploiting Resources of a Processor Core

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

Databases on Modern Hardware; Cham: Springer, 2017. p. 9 – 25.