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

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 Operational Analytics on Fresh Data

A. Raza / A. Ailamaki (Dir.)

Lausanne, EPFL, 2024.

Efficient Model-Relational Data Management: Challenges and Opportunities

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

Efficient Data Access Paths for Mixed Vector-Relational Search

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

Efficient Approximate Analytics via Adaptive Context-Conscious Query Processing

V. Sanca / A. Ailamaki (Dir.)

Lausanne, EPFL, 2024.

H. Nicholson; P. Chrysogelos; A. Ailamaki

2023

HPCache: memory-efficient OLAP through proportional caching revisited

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

Determining an optimum quantity of interleaved instruction streams of defined coroutines

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.

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

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.

E-Scan: Consuming Contextual Data with Model Plugins

2023. Second International Workshop on Composable Data Management Systems (CDMS’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.

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

P. Sioulas / A. Ailamaki (Dir.)

Lausanne, EPFL, 2023.

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

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.

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.

Sampling-Based AQP in Modern Analytical Engines

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.

H. Nicholson; P. Chrysogelos; A. Ailamaki

HPCache: Memory-Efficient OLAP Through Proportional Caching

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.

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.

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.

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.

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.

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

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.

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.

Micro-architectural Analysis of Database Workloads

U. Sirin / A. Ailamaki (Dir.)

Lausanne, EPFL, 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

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.

S. Giannakopoulou; M. Karpathiotakis; A. Ailamaki

Cleaning Denial Constraint Violations through Relaxation

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

S. Giannakopoulou; M. Karpathiotakis; A. Ailamaki

Query-driven Repair of Functional Dependency Violations

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 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

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 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.

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.

Full text

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.

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

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

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.

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.

Timely and cost-efficient data exploration through adaptive tuning

M. A. Olma / A. Ailamaki (Dir.)

Lausanne, EPFL, 2019.

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.

Efficient Query Processing for Spatial and Temporal Data Exploration

E. Tzirita Zacharatou / 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.

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.

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

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

Improving Main-memory Database System Performance through Cooperative Multitasking

G. Psaropoulos / 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.

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

Improving Spatial Data Processing by Clipping Minimum Bounding Boxes

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.

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.

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.

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.

Interleaving with Coroutines: A Practical Approach for Robust Index Joins

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.

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.

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.

Full text – View at publisher

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

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.

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

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

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

Just-in-time Analytics Over Heterogeneous Data and Hardware

M. Karpathiotakis / A. Ailamaki (Dir.)

Lausanne, EPFL, 2017.

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,

2016

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.

High Performance Transaction Processing on Non-Uniform Hardware Topologies

D. Porobic / A. Ailamaki (Dir.)

Lausanne, EPFL, 2016.

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.

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

Cheap Data Analytics using Cold Storage Devices

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

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.

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.

M. Karpathiotakis; I. Alagiannis; A. Ailamaki

Fast Queries Over Heterogeneous Data Through Engine Customization

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

Full text – View at publisher

Toward timely, predictable and cost-effective data analytics

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

Lausanne, EPFL, 2016.

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.

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.

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.

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.

2015

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.

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.

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.

Runtime Prediction for Scale-Out Data Analytics

A. D. Popescu / A. Ailamaki (Dir.)

Lausanne, EPFL, 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.

Adaptive Query Processing on Raw Data Files

I. Alagiannis / A. Ailamaki (Dir.)

Lausanne, EPFL, 2015.

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.

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.

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.

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.

Reconsolidating Data Structures

T. Heinis; A. Ailamaki

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

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.