ADMS@VLDB - researchr conference series publications

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Viewing Publication 1 - 31 from 31

2022

International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2022, Sydney, Australia, September 5, 2022Rajesh Bordawekar, Tirthankar Lahiri, editors, 2022.

A Short Study of Recent Smart Storage Solutions for OLAP: Lessons and OpportunitiesFaezeh Faghih, Zsolt István, Florin Dinu. adms 2022: 58-66 [doi]

An Adaptive Column Compression Family for Self-Driving DatabasesMarcell Fehér, Daniel E. Lucani, Ioannis Chatzigeorgiou. adms 2022: 47-57 [doi]

LSM-Trees Under (Memory) PressureJu-Hyoung Mun, Zichen Zhu, Aneesh Raman, Manos Athanassoulis. adms 2022: 23-35 [doi]

Efficiently Compiling Dynamic Code for Adaptive Query ProcessingTobias Schmidt, Philipp Fent, Thomas Neumann 0001. adms 2022: 11-22 [doi]

A DBMS-centric Evaluation of BlueField DPUs on Fast NetworksLasse Thostrup, Daniel Failing, Tobius Ziegler, Carsten Binnig. adms 2022: 1-10 [doi]

What Are You Waiting For? Use Coroutines for Asynchronous I/O to Hide I/O Latencies and Maximize the Read Bandwidth!Leonard von Merzljak, Philipp Fent, Thomas Neumann 0001, Jana Giceva. adms 2022: 36-46 [doi]

2021

Extending In-Memory OLTP with Persistent MemoryHillel Avni, Nir Pachter, Aharon Avitzur, Vladi Vexler. adms 2021: 10-16 [doi]

International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2021, Copenhagen, Denmark, August 16, 2021Rajesh Bordawekar, Tirthankar Lahiri, editors, 2021.

Delayed Parity Update for Bridging the Gap between Replication and Erasure Coding in Server-based StorageTakayuki Fukatani, Hieu Hanh Le, Haruo Yokota. adms 2021: 1-9 [doi]

Scaling Joins to a Thousand GPUsHao Gao, Nikolai Sakharnykh. adms 2021: 55-64 [doi]

Highlighting the Performance Diversity of Analytical Queries using VOILATim Gubner, Peter A. Boncz. adms 2021: 47-54 [doi]

Evaluating Lightweight Integer Compression Algorithms in Column-Oriented In-Memory DBMSLinus Heinzl, Ben Hurdelhey, Martin Boissier 0001, Michael Perscheid, Hasso Plattner. adms 2021: 26-36 [doi]

OneJoin: Cross-Architecture, Scalable Edit SimilarityJoin for DNA Data Storage Using oneAPIEugenio Marinelli, Raja Appuswamy. adms 2021: 37-46 [doi]

One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMAMagdalena Pröbstl, Philipp Fent, Maximilian E. Schüle, Moritz Sichert, Thomas Neumann 0001, Alfons Kemper. adms 2021: 17-26 [doi]

2020

Training for Speech Recognition on CoprocessorsSebastian Baunsgaard, Sebastian Benjamin Wrede, Pinar Tözün. adms 2020: 1-10 [doi]

International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2020, Tokyo, Japan, August 31, 2020Rajesh Bordawekar, Tirthankar Lahiri, editors, 2020.

When Vectorwise Meets Hyper, Pipeline Breakers Become the ModeratorBalasubramanian Gurumurthy, Imad Hajjar, David Broneske, Thilo Pionteck, Gunter Saake. adms 2020: 1-10 [doi]

Hash-Based Authentication Revisited in the Age of High Performance ComputersNiclas Hedam, Jakob Mollerup, Pinar Tözün. adms 2020: 1-6 [doi]

High-Performance Tree Indices: Locality matters more than one would thinkThomas Kowalski, Fotios Kounelis, Holger Pirk. adms 2020: 1-7 [doi]

Enabling NUMA-aware Main Memory Spatial Join Processing: An Experimental StudySuprio Ray, Catherine Higgins, Vaishnavi Anupindi, Saransh Gautam. adms 2020: 1-8 [doi]

Efficient Usage of One-Sided RDMA for Linear ProbingTinggang Wang, Shuo Yang, Hideaki Kimura, Garret Swart, Spyros Blanas. adms 2020: 1-13 [doi]

Parallel Prefix Sum with SIMDWangda Zhang, Yanbin Wang, Kenneth A. Ross. adms 2020: 1-11 [doi]

2019

10th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2019, Los Angeles, California, USA, August 26, 2019Rajesh Bordawekar, Tirthankar Lahiri, editors, 2019.

Experimental Study of Memory Allocation for High-Performance Query ProcessingDominik Durner, Viktor Leis, Thomas Neumann 0001. adms 2019: 1-9 [doi]

High-Performance In-Network Data ProcessingJaco Hofmann, Lasse Thostrup, Tobias Ziegler 0001, Carsten Binnig, Andreas Koch 0001. adms 2019: 64-73 [doi]

A Study on Database Cracking with GPUsEleazar Leal, Le Gruenwald. adms 2019: 22-33 [doi]

Accelerating Regular Path Queries using FPGAKento Miura, Toshiyuki Amagasa, Hiroyuki Kitagawa. adms 2019: 47-54 [doi]

Computational Storage For Big Data AnalyticsBalavinayagam Samynathan, Keith Chapman, Mehdi Nik, Behnam Robatmili, Shahrzad Mirkhani, Maysam Lavasani. adms 2019: 55-63 [doi]

Efficient Quadtree Construction for Indexing Large-Scale Point Data on GPUs: Bottom-Up vs. Top-DownJianting Zhang, Le Gruenwald. adms 2019: 34-46 [doi]

GPU Accelerated Top-K Selection With Efficient Early StoppingVasileios Zois, Vassilis J. Tsotras, Walid A. Najjar. adms 2019: 10-21 [doi]

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