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Publication search results
found 104 matches
- 2022
- Faeze Faghih, Zsolt István, Florin Dinu:
A Short Study of Recent Smart Storage Solutions for OLAP: Lessons and Opportunities. ADMS@VLDB 2022: 58-66 - Marcell Fehér, Daniel E. Lucani, Ioannis Chatzigeorgiou:
An Adaptive Column Compression Family for Self-Driving Databases. ADMS@VLDB 2022: 47-57 - Leonard von Merzljak, Philipp Fent, Thomas Neumann, Jana Giceva:
What Are You Waiting For? Use Coroutines for Asynchronous I/O to Hide I/O Latencies and Maximize the Read Bandwidth! ADMS@VLDB 2022: 36-46 - Ju Hyoung Mun, Zichen Zhu, Aneesh Raman, Manos Athanassoulis:
LSM-Trees Under (Memory) Pressure. ADMS@VLDB 2022: 23-35 - Tobias Schmidt, Philipp Fent, Thomas Neumann:
Efficiently Compiling Dynamic Code for Adaptive Query Processing. ADMS@VLDB 2022: 11-22 - Lasse Thostrup, Daniel Failing, Tobias Ziegler, Carsten Binnig:
A DBMS-centric Evaluation of BlueField DPUs on Fast Networks. ADMS@VLDB 2022: 1-10 - Rajesh Bordawekar, Tirthankar Lahiri:
International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2022, Sydney, Australia, September 5, 2022. 2022 [contents] - 2021
- Hillel Avni, Nir Pachter, Aharon Avitzur, Vladi Vexler:
Extending In-Memory OLTP with Persistent Memory. ADMS@VLDB 2021: 10-16 - Takayuki Fukatani, Hieu Hanh Le, Haruo Yokota:
Delayed Parity Update for Bridging the Gap between Replication and Erasure Coding in Server-based Storage. ADMS@VLDB 2021: 1-9 - Hao Gao, Nikolai Sakharnykh:
Scaling Joins to a Thousand GPUs. ADMS@VLDB 2021: 55-64 - Tim Gubner, Peter A. Boncz:
Highlighting the Performance Diversity of Analytical Queries using VOILA. ADMS@VLDB 2021: 47-54 - Linus Heinzl, Ben Hurdelhey, Martin Boissier, Michael Perscheid, Hasso Plattner:
Evaluating Lightweight Integer Compression Algorithms in Column-Oriented In-Memory DBMS. ADMS@VLDB 2021: 26-36 - Eugenio Marinelli, Raja Appuswamy:
OneJoin: Cross-Architecture, Scalable Edit SimilarityJoin for DNA Data Storage Using oneAPI. ADMS@VLDB 2021: 37-46 - Magdalena Pröbstl, Philipp Fent, Maximilian E. Schüle, Moritz Sichert, Thomas Neumann, Alfons Kemper:
One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA. ADMS@VLDB 2021: 17-26 - Rajesh Bordawekar, Tirthankar Lahiri:
International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2021, Copenhagen, Denmark, August 16, 2021. 2021 [contents] - 2020
- Sebastian Baunsgaard, Sebastian Benjamin Wrede, Pinar Tözün:
Training for Speech Recognition on Coprocessors. ADMS@VLDB 2020: 1-10 - Balasubramanian Gurumurthy, Imad Hajjar, David Broneske, Thilo Pionteck, Gunter Saake:
When Vectorwise Meets Hyper, Pipeline Breakers Become the Moderator. ADMS@VLDB 2020: 1-10 - Niclas Hedam, Jakob Mollerup, Pinar Tözün:
Hash-Based Authentication Revisited in the Age of High Performance Computers. ADMS@VLDB 2020: 1-6 - Thomas Kowalski, Fotios Kounelis, Holger Pirk:
High-Performance Tree Indices: Locality matters more than one would think. ADMS@VLDB 2020: 1-7 - Suprio Ray, Catherine Higgins, Vaishnavi Anupindi, Saransh Gautam:
Enabling NUMA-aware Main Memory Spatial Join Processing: An Experimental Study. ADMS@VLDB 2020: 1-8 - Tinggang Wang, Shuo Yang, Hideaki Kimura, Garret Swart, Spyros Blanas:
Efficient Usage of One-Sided RDMA for Linear Probing. ADMS@VLDB 2020: 1-13 - Wangda Zhang, Yanbin Wang, Kenneth A. Ross:
Parallel Prefix Sum with SIMD. ADMS@VLDB 2020: 1-11 - Rajesh Bordawekar, Tirthankar Lahiri:
International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2020, Tokyo, Japan, August 31, 2020. 2020 [contents] - 2019
- Dominik Durner, Viktor Leis, Thomas Neumann:
Experimental Study of Memory Allocation for High-Performance Query Processing. ADMS@VLDB 2019: 1-9 - Jaco A. Hofmann, Lasse Thostrup, Tobias Ziegler, Carsten Binnig, Andreas Koch:
High-Performance In-Network Data Processing. ADMS@VLDB 2019: 64-73 - Eleazar Leal, Le Gruenwald:
A Study on Database Cracking with GPUs. ADMS@VLDB 2019: 22-33 - Kento Miura, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Accelerating Regular Path Queries using FPGA. ADMS@VLDB 2019: 47-54 - Balavinayagam Samynathan, Keith Chapman, Mehdi Nik, Behnam Robatmili, Shahrzad Mirkhani, Maysam Lavasani:
Computational Storage For Big Data Analytics. ADMS@VLDB 2019: 55-63 - Jianting Zhang, Le Gruenwald:
Efficient Quadtree Construction for Indexing Large-Scale Point Data on GPUs: Bottom-Up vs. Top-Down. ADMS@VLDB 2019: 34-46 - Vasileios Zois, Vassilis J. Tsotras, Walid A. Najjar:
GPU Accelerated Top-K Selection With Efficient Early Stopping. ADMS@VLDB 2019: 10-21
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