Alexander Krause

Orcid: 0000-0002-2616-8739

Affiliations:
  • TU Dresden, Department of Computer Science, Database Systems Group, Dresden, Germany


According to our database1, Alexander Krause authored at least 26 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

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Bibliography

2025
De²Dup: Extended Deduplication for Multi-Tenant Databases.
Proceedings of the 21st International Workshop on Data Management on New Hardware, 2025

Disaggregated Pipeline Grouping LIVE.
Proceedings of the Datenbanksysteme für Business, 2025

2024
Designing and Implementing a Generator Framework for a SIMD Abstraction Library.
CoRR, 2024

Program your (custom) SIMD instruction set on FPGA in C++.
Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023
Partition-based SIMD Processing and its Application to Columnar Database Systems.
Datenbank-Spektrum, March, 2023

Simplicity done right for SIMDified query processing on CPU and FPGA.
Proceedings of the 1st Workshop on Simplicity in Management of Data, 2023

Near to Far: An Evaluation of Disaggregated Memory for In-Memory Data Processing.
Proceedings of the 1st Workshop on Disruptive Memory Systems, 2023

Pipeline Group Optimization on Disaggregated Systems.
Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

Working with Disaggregated Systems. What are the Challenges and Opportunities of RDMA and CXL?
Proceedings of the Datenbanksysteme für Business, 2023

2022
To share or not to share vector registers?
VLDB J., 2022

To use or not to use the SIMD gather instruction?
Proceedings of the International Conference on Management of Data, 2022


2021
SIMD-MIMD cocktail in a hybrid memory glass: shaken, not stirred.
Proceedings of the SYSTOR '21: The 14th ACM International Systems and Storage Conference, 2021

A GraphBLAS implementation in pure Java.
Proceedings of the GRADES-NDA '21: Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2021

2020
Graph Pattern Matching on Symmetric Multiprocessor Systems.
PhD thesis, 2020

MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model.
Proc. VLDB Endow., 2020

Scalable In-Memory Graph Pattern Matching on Symmetric Multiprocessor Systems.
Proceedings of the Software Foundations for Data Interoperability and Large Scale Graph Data Analytics, 2020

Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019
NeMeSys - A Showcase of Data Oriented Near Memory Graph Processing.
Proceedings of the 2019 International Conference on Management of Data, 2019

MorphStore - In-Memory Query Processing based on Morphing Compressed Intermediates LIVE.
Proceedings of the 2019 International Conference on Management of Data, 2019

Trading Memory versus Workload Overhead in Graph Pattern Matching on Multiprocessor Systems.
Proceedings of the 8th International Conference on Data Science, 2019

NeMeSys - Energy Adaptive Graph Pattern Matching on NUMA-based Multiprocessor Systems.
Proceedings of the Datenbanksysteme für Business, 2019

2017
Partitioning Strategy Selection for In-Memory Graph Pattern Matching on Multiprocessor Systems.
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Balancing Performance and Energy for Lightweight Data Compression Algorithms.
Proceedings of the New Trends in Databases and Information Systems, 2017

Asynchronous Graph Pattern Matching on Multiprocessor Systems.
Proceedings of the New Trends in Databases and Information Systems, 2017

2016
HUGS - A Lightweight Graph Partitioning Approach.
Proceedings of the 28th GI-Workshop Grundlagen von Datenbanken, Nörten Hardenberg, 2016


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