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ORCIDADMS/IMDM@VLDB 2016: New Delhi, India
- Spyros Blanas, Rajesh Bordawekar, Tirthankar Lahiri, Justin J. Levandoski, Andrew Pavlo:
Data Management on New Hardware - 7th International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016 and 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, New Delhi, India, September 1, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10195, Springer 2017, ISBN 978-3-319-56110-3 - Stefan Sprenger, Steffen Zeuch, Ulf Leser:
Cache-Sensitive Skip List: Efficient Range Queries on Modern CPUs. 1-17 - Bo Tang, Man Lung Yiu
, Yuhong Li, Leong Hou U:
Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs. 18-39 - Juliana Hildebrandt, Dirk Habich, Patrick Damme, Wolfgang Lehner:
Compression-Aware In-Memory Query Processing: Vision, System Design and Beyond. 40-56 - Adnan Agbaria, David Minor, Natan Peterfreund, Eyal Rozenberg, Ofer Rosenberg:
Overtaking CPU DBMSes with a GPU in Whole-Query Analytic Processing with Parallelism-Friendly Execution Plan Optimization. 57-78 - Aniraj Kesavan, Robert Ricci, Ryan Stutsman:
To Copy or Not to Copy: Making In-Memory Databases Fast on Modern NICs. 79-94 - Adam Dziedzic, Manos Karpathiotakis, Ioannis Alagiannis, Raja Appuswamy, Anastasia Ailamaki:
DBMS Data Loading: An Analysis on Modern Hardware. 95-117 - Anil Shanbhag, Holger Pirk, Sam Madden:
Locality-Adaptive Parallel Hash Joins Using Hardware Transactional Memory. 118-133 - Qingzhong Meng, Xuan Zhou, Shiping Chen, Shan Wang:
SwingDB: An Embedded In-memory DBMS Enabling Instant Snapshot Sharing. 134-149 - Endre Palatinus, Jens Dittrich:
Runtime Fragility in Main Memory. 150-165
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