Werkzeuggestützte interaktive Formalisierung textueller Anwendungsfallbeschreibungen für den Systemtest. - Mario Friske; Holger Pirk (GI Jahrestagung (2), 2005)

Accelerating Foreign-Key Joins using Asymmetric Memory Channels. - Holger Pirk; Stefan Manegold; Martin L. Kersten (ADMS@VLDB, 2011)

Instant-On Scientific Data Warehouses - Lazy ETL for Data-Intensive Research. - Yagiz Kargin; Holger Pirk; Milena Ivanova; Stefan Manegold; Martin L. Kersten (BIRTE, 2012)

X-device query processing by bitwise distribution. - Holger Pirk; Thibault Sellam; Stefan Manegold; Martin L. Kersten (DaMoN, 2012)

Building Virtual Earth Observatories Using Ontologies and Linked Geospatial Data. - Manolis Koubarakis; Manos Karpathiotakis; Kostis Kyzirakos; Charalampos Nikolaou; Stavros Vassos; George Garbis; Michael Sioutis; Konstantina Bereta; Stefan Manegold; Martin L. Kersten; Milena Ivanova; Holger Pirk; et al. (RR, 2012)

Scalable Generation of Synthetic GPS Traces with Real-Life Data Characteristics. - Konrad Bösche; Thibault Sellam; Holger Pirk; René Beier; Peter Mieth; Stefan Manegold (TPCTC, 2012)

TELEIOS: A Database-Powered Virtual Earth Observatory. - Manolis Koubarakis; Kostis Kyzirakos; Manos Karpathiotakis; Charalampos Nikolaou; Stavros Vassos; George Garbis; Michael Sioutis; Konstantina Bereta; Dimitrios Michail 001; Charalambos Kontoes; Ioannis Papoutsis; Themos Herekakis; et al. (Proc. VLDB Endow., 2012)

CPU and cache efficient management of memory-resident databases. - Holger Pirk; Florian Funke 001; Martin Grund; Thomas Neumann 001; Ulf Leser; Stefan Manegold; Alfons Kemper; Martin L. Kersten (ICDE, 2013)

Hardware-Oblivious Parallelism for In-Memory Column-Stores. - Max Heimel; Michael Saecker; Holger Pirk; Stefan Manegold; Volker Markl (Proc. VLDB Endow., 2013)

Database cracking: fancy scan, not poor man's sort! - Holger Pirk; Eleni Petraki; Stratos Idreos; Stefan Manegold; Martin L. Kersten (DaMoN, 2014)

Waste not... Efficient co-processing of relational data. - Holger Pirk; Stefan Manegold; Martin L. Kersten (ICDE, 2014)

By their fruits shall ye know them: A Data Analyst's Perspective on Massively Parallel System Design. - Holger Pirk; Sam Madden 001; Mike Stonebraker (DaMoN, 2015)

The DBMS - your big data sommelier. - Yagiz Kargin; Martin L. Kersten; Stefan Manegold; Holger Pirk (ICDE, 2015)

...like Commanding an Anthill: A Case for Micro-Distributed (Data) Management Systems. - Holger Pirk (SIGMOD Rec., 2015)

What Makes a Good Physical plan?: Experiencing Hardware-Conscious Query Optimization with Candomblé. - Holger Pirk; Oscar R. Moll; Sam Madden 001 (SIGMOD Conference, 2016)

Locality-Adaptive Parallel Hash Joins Using Hardware Transactional Memory. - Anil Shanbhag; Holger Pirk; Sam Madden 001 (ADMS/IMDM@VLDB, 2016)

Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware. - Holger Pirk; Oscar R. Moll; Matei Zaharia; Sam Madden 001 (Proc. VLDB Endow., 2016)

Non-Invasive Progressive Optimization for In-Memory Databases. - Steffen Zeuch; Holger Pirk; Johann-Christoph Freytag (Proc. VLDB Endow., 2016)

A Common Runtime for High Performance Data Analysis. - Shoumik Palkar; James Thomas 003; Anil Shanbhag; Deepak Narayanan; Holger Pirk; Malte Schwarzkopf; Saman P. Amarasinghe; Matei Zaharia (CIDR, 2017)

Weld: Rethinking the Interface Between Data-Intensive Applications. - Shoumik Palkar; James Thomas 003; Deepak Narayanan; Anil Shanbhag; Rahul Palamuttam; Holger Pirk; Malte Schwarzkopf; Saman P. Amarasinghe; Samuel Madden 001; Matei Zaharia (CoRR, 2017)

Efficient Top-K Query Processing on Massively Parallel Hardware. - Anil Shanbhag; Holger Pirk; Samuel Madden 001 (SIGMOD Conference, 2018)

Hammer Slide: Work- and CPU-efficient Streaming Window Aggregation. - Georgios Theodorakis; Alexandros Koliousis; Peter R. Pietzuch; Holger Pirk (ADMS@VLDB, 2018)

Evaluating End-to-End Optimization for Data Analytics Applications in Weld. - Shoumik Palkar; James Thomas 003; Deepak Narayanan; Pratiksha Thaker; Rahul Palamuttam; Parimarjan Negi; Anil Shanbhag; Malte Schwarzkopf; Holger Pirk; Saman P. Amarasinghe; Samuel Madden 001; Matei Zaharia (Proc. VLDB Endow., 2018)

Thriving in the No Man's Land between Compilers and Databases. - Holger Pirk; Jana Giceva; Peter R. Pietzuch (CIDR, 2019)

Accelerating the Merge Phase of Sort-Merge Join. - Philippos Papaphilippou; Holger Pirk; Wayne Luk (FPL, 2019)

High-Performance Tree Indices: Locality matters more than one would think. - Thomas Kowalski; Fotios Kounelis; Holger Pirk (ADMS@VLDB, 2020)

SlideSide: A fast Incremental Stream Processing Algorithm for Multiple Queries. - Georgios Theodorakis; Peter R. Pietzuch; Holger Pirk (EDBT, 2020)

LightSaber: Efficient Window Aggregation on Multi-core Processors. - Georgios Theodorakis; Alexandros Koliousis; Peter R. Pietzuch; Holger Pirk (SIGMOD Conference, 2020)

Homoiconicity For End-to-end Machine Learning with BOSS. - Hubert Mohr-Daurat; Holger Pirk (BICOD, 2021)

Scabbard: Single-Node Fault-Tolerant Stream Processing. - Georgios Theodorakis; Fotios Kounelis; Peter R. Pietzuch; Holger Pirk (Proc. VLDB Endow., 2021)

Collaborative Data Science using Scalable Homoiconicity. - Holger Pirk (SIGMOD Rec., 2022)

SonicJoin: Fast, Robust and Worst-case Optimal. - Ahmad Khazaie; Holger Pirk (EDBT, 2023)

Wisent: An In-Memory Serialization Format for Leafy Trees. - Hubert Mohr-Daurat; Holger Pirk (VLDB Workshops, 2023)

Hardware-Efficient Data Imputation through DBMS Extensibility. - Hubert Mohr-Daurat; Georgios Theodorakis; Holger Pirk (Proc. VLDB Endow., 2024)

DEPA-Delta Shifting and Distribution Shaping for Efficient Adaptive Indexing. - Ahmad Khazaie; Holger Pirk (ICDE, 2025)

White-Box Micro-Adaptive Query Processing. - Jack Pearce; Hubert Mohr-Daurat; Holger Pirk (ICDE, 2025)

BOSS - An Architecture for Database Kernel Composition. - Hubert Mohr-Daurat; Xuan Sun; Holger Pirk (SIGMOD Rec., 2025)

Lossless Compression of Large Language Model-Generated Text via Next-Token Prediction. - Yu Mao 001; Holger Pirk; Chun Jason Xue (CoRR, 2025)