DIAS publications on

2024

Trustworthy and Efficient LLMs Meet Databases

K-M. Kim; A. Ailamaki 

2024

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

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

2024

The Effect of Scheduling and Preemption on the Efficiency of LLM Inference Serving

K-M. Kim; K. Hong; C. Gulcehre; A. Ailamaki 

2024

Efficient Operational Analytics on Fresh Data

A. Raza / A. Ailamaki (Dir.)  

Lausanne, EPFL, 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 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 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 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.

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.

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.

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.

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, Seattle, Washington USA, June 18-23, 2023. 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.

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. 

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.

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.

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.

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.

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.

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.

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.

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.

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 Analytical Query Processing on CPU-GPU Hardware Platforms

P. Chrysogelos / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2022. 

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.

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.

2021

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.

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. 

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.

Accelerating Complex Analytics using Speculation

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

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

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.

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.

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.

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.

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.

Adaptive HTAP through Elastic Resource Scheduling

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

2020

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.

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.

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.

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.

Time- and Space-Efficient Spatial Data Analytics

M. Pavlovic / A. Ailamaki (Dir.)  

Lausanne, EPFL, 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.

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.

Improving Main-memory Database System Performance through Cooperative Multitasking

G. Psaropoulos / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2019. 

Timely and cost-efficient data exploration through adaptive tuning

M. A. Olma / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2019. 

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.

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.

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.

Efficient Query Processing for Spatial and Temporal Data Exploration

E. Tzirita Zacharatou / 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.

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.

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

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

2017.  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. Olma; A. Ailamaki 

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

CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning

S. A. Giannakopoulou; M. Karpathiotakis; B. C. D. Gaidioz; A. Ailamaki 

2017. 43rd International Conference on Very Large Databases, Munich, Germany, August 28th to September 1, 2017. p. 1466 – 1477. DOI : 10.14778/3137628.3137654.

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.

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,

Just-in-time Analytics Over Heterogeneous Data and Hardware

M. Karpathiotakis / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2017. 

Interleaving with Coroutines: A Practical Approach for Robust Index Joins

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

2017. The 44th International Conference on Very Large Data Bases, Rio de Janeiro, Brazil, August 27-31, 2018. p. 230 – 242. DOI : 10.14778/3149193.3149202.

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.

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.

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

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

2017

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.

2016

Micro-architectural Analysis of In-memory OLTP

U. Sirin; P. Tozun; D. Porobic; A. Ailamaki 

2016. SIGMOD 2016. p. 387 – 402. DOI : 10.1145/2882903.2882916.

Toward timely, predictable and cost-effective data analytics

R. Borovica-Gajic / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2016. 

More Than A Network: Distributed OLTP on Clusters of Hardware Islands

D. Porobic; P. Tozun; R. Appuswamy; A. Ailamaki 

2016. 12th International Workshop on Data Management on New Hardware. DOI : 10.1145/2933349.2933355.

Space Odyssey – Efficient Exploration of Scientific Data

M. Pavlovic; E. Tzirita Zacharatou; D. Sidlauskas; T. Heinis; A. Ailamaki 

2016. 3rd International Workshop on Exploratory Search in Databases and the Web, San Francisco, California, USA, June 26 – July 1, 2016. p. 12 – 18. DOI : 10.1145/2948674.2948677.

Scaling Up Concurrent Analytical Workloads on Multi-Core Servers

I. Psaroudakis / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2016. 

Fast Queries Over Heterogeneous Data Through Engine Customization

M. Karpathiotakis; I. Alagiannis; A. Ailamaki 

2016. 42nd International Conference on Very Large Databases, New Delhi, India, September 5-9, 2016. p. 972 – 983. DOI : 10.14778/2994509.2994516.

High Performance Transaction Processing on Non-Uniform Hardware Topologies

D. Porobic / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2016. 

OLTP on a server-grade ARM: power, throughput and latency comparison

U. Sirin; R. Appuswamy; A. Ailamaki 

2016. DAMON, San Francisco, California, 26 06 – 01 07 2016. p. 1 – 7. DOI : 10.1145/2933349.2933359.

TRANSFORMERS: Robust Spatial Joins on Non-Uniform Data Distributions

M. Pavlovic; T. Heinis; F. Tauheed; P. Karras; A. Ailamaki 

2016. IEEE 32nd International Conference on Data Engineering, Helsinki, Finland, p. 673 – 684. DOI : 10.1109/ICDE.2016.7498280.

Cheap Data Analytics using Cold Storage Devices

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

2016. 42st International Conference on Very Large Data Bases, New Delhi, India, September 5-9, 2016. p. 1029 – 1040. DOI : 10.14778/2994509.2994521.

DBMS Data Loading: An Analysis on Modern Hardware

A. Dziedzic; M. Karpathiotakis; I. Alagiannis; R. Appuswamy; A. Ailamaki 

2016. 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures. p. 95 – 117. DOI : 10.1007/978-3-319-56111-0_6.

An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data

B. R. C. Magalhães; F. Tauheed; T. Heinis; A. Ailamaki; F. Schürmann 

2016. 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016. p. 81 – 97. DOI : 10.1007/978-3-319-41321-1_5.

Characterization of the Impact of Hardware Islands on OLTP

D. Porobic; I. Pandis; M. S. De Oliveira Branco; P. Tozun; A. Ailamaki 

Vldb Journal. 2016. Vol. 25, num. 5, p. 625 – 650. DOI : 10.1007/s00778-015-0413-2.

2015

Reconstruction and Simulation of Neocortical Microcircuitry

H. Markram; E. Muller; S. Ramaswamy; M. W. Reimann; M. Abdellah et al. 

Cell. 2015. Vol. 163, num. 2, p. 456 – 492. DOI : 10.1016/j.cell.2015.09.029.

Applying HTM to an OLTP System: No Free Lunch

D. Cervini; D. Porobic; P. Tozun; A. Ailamaki 

2015. The 11th International Workshop on Data Management on New Hardware, Melbourne, VIC, Australia, May 31 – June 04, 2015. DOI : 10.1145/2771937.2771946.

NoDB: Efficient Query Execution on Raw Data Files

I. Alagiannis; R. Borovica-Gajic; M. Branco; S. Idreos; A. Ailamaki 

Communications of the ACM. 2015. Vol. 58, num. 12, p. 112 – 121. DOI : 10.1145/2830508.

Scaling up Mixed Workloads: a Battle of Data Freshness, Flexibility, and Scheduling

I. Psaroudakis; F. Wolf; N. May; T. Neumann; A. Böhm et al. 

2015. Sixth TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2014), Hangzhou, China, September 1-5, 2014. p. 97 – 112. DOI : 10.1007/978-3-319-15350-6_7.

Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship

A. Ailamaki 

2015. Very Large Data Bases (VLDB) Conference, Kohala Coast, Hawai’i, 31 August – 4 September 2015. p. 2058 – 2069.

Configuring Spatial Grids for Efficient Main Memory Joins

F. Tauheed; T. Heinis; A. Ailamaki 

2015. British International Conference on Databases (BICOD ’15). DOI : 10.1007/978-3-319-20424-6_19.

THERMAL-JOIN: A Scalable Spatial Join for Dynamic Workloads

F. Tauheed; T. Heinis; A. Ailamaki 

2015. International Conference on Management of Data (SIGMOD ’15). p. 939 – 950. DOI : 10.1145/2723372.2749434.

Smooth Scan: Statistics-Oblivious Access Paths

R. Borovica-Gajic; S. Idreos; A. Ailamaki; M. Zukowski; C. Fraser 

2015. 31st IEEE International Conference on Data Engineering, Seoul, Korea, April 13-17, 2015. p. 315 – 326. DOI : 10.1109/ICDE.2015.7113294.

Adaptive Query Processing on Raw Data Files

I. Alagiannis / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2015. 

Reconsolidating Data Structures

T. Heinis; A. Ailamaki 

2015. International Conference on Extending Database Technology 2015 (EDBT 2015).

Towards the Identification of Disease Signatures

T. Venetis; A. Ailamaki; T. Heinis; M. Karpathiotakis; F. Kherif et al. 

2015. Brain Informatics and Health – 8th International Conference, BIH 2015, London, UK, August 30 – September 2, 2015. p. 145 – 155. DOI : 10.1007/978-3-319-23344-4_15.

Extending database task schedulers for multi-threaded application code

F. Wolf; I. Psaroudakis; N. May; A. Ailamaki; K-U. Sattler 

2015. International Conference on Scientific and Statistical Database Management, San Diego, California, USA, June 29 – July 1, 2015. DOI : 10.1145/2791347.2791379.

Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement

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

2015. 41st International Conference on Very Large Data Bases, Kohala Coast, Hawaii, USA, August 31 – September 4, 2015. p. 1442 – 1453. DOI : 10.14778/2824032.2824043.

Scaling the Memory Power Wall with DRAM-Aware Data Management

R. Appuswamy; M. Olma; A. Ailamaki 

2015. DaMoN 2015 Workshop on Data Management on New Hardware, Melbourne, VIC, Australia, June 1, 2015. DOI : 10.1145/2771937.2771947.

RUBIK: Efficient Threshold Queries on Massive Time Series

E. Tzirita Zacharatou; T. Heinis; F. Tauheed; A. Ailamaki 

2015. 27th International Conference on Scientific and Statistical Database Management, San Diego, California, USA, June 29 – July 1, 2015. DOI : 10.1145/2791347.2791372.

Runtime Prediction for Scale-Out Data Analytics

A. D. Popescu / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2015. 

Online Updates on Data Warehouses via Judicious Use of Solid-State Storage

M. Athanassoulis; S. Chen; A. Ailamaki; P. B. Gibbons; R. Stoica 

Acm Transactions On Database Systems. 2015. Vol. 40, num. 1, p. 6. DOI : 10.1145/2699484.

How to Stop Under-Utilization and Love Multicores

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

2015. 31st IEEE International Conference on Data Engineering, Seoul, Korea, April 13-17, 2015. p. 1530 – 1533. DOI : 10.1109/ICDE.2015.7113419.

Just-In-Time Data Virtualization: Lightweight Data Management with ViDa

M. Karpathiotakis; I. Alagiannis; T. Heinis; M. Branco; A. Ailamaki 

2015. 7th Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, California, USA, January 4-7, 2015.