Maximizing systolic array efficiency to accelerate the PairHMM Forward Algorithm. - Johan Peltenburg; Shanshan Ren; Zaid Al-Ars (BIBM, 2016)

Pushing Big Data into Accelerators: Can the JVM Saturate Our Hardware? - Johan Peltenburg; Ahmad Hesam; Zaid Al-Ars (ISC Workshops, 2017)

Supporting Columnar In-memory Formats on FPGA: The Hardware Design of Fletcher for Apache Arrow. - Johan Peltenburg; Jeroen van Straten; Matthijs Brobbel; H. Peter Hofstee; Zaid Al-Ars (ARC, 2019)

Fletcher: A Framework to Efficiently Integrate FPGA Accelerators with Apache Arrow. - Johan Peltenburg; Jeroen van Straten; Lars Wijtemans; Lars van Leeuwen; Zaid Al-Ars; H. Peter Hofstee (FPL, 2019)

Battling the CPU Bottleneck in Apache Parquet to Arrow Conversion Using FPGA. - Johan Peltenburg; Lars T. J. van Leeuwen; Joost Hoozemans; Jian Fang 004; Zaid Al-Ars; H. Peter Hofstee (FPT, 2020)

Tydi: An Open Specification for Complex Data Structures Over Hardware Streams. - Johan Peltenburg; Jeroen van Straten; Matthijs Brobbel; Zaid Al-Ars; H. Peter Hofstee (IEEE Micro, 2020)

Methods for Efficient Integration of FPGA Accelerators with Big Data Systems. - Johan Peltenburg (2020)

Tens of gigabytes per second JSON-to-Arrow conversion with FPGA accelerators. - Johan Peltenburg; Ákos Hadnagy; Matthijs Brobbel; Robert Morrow; Zaid Al-Ars (FPT, 2021)

AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. - Baozhou Zhu; H. Peter Hofstee; Johan Peltenburg; Jinho Lee; Zaid Al-Ars (IJCAI, 2021)

Generating High-Performance FPGA Accelerator Designs for Big Data Analytics with Fletcher and Apache Arrow. - Johan Peltenburg; Jeroen van Straten; Matthijs Brobbel; Zaid Al-Ars; H. Peter Hofstee (J. Signal Process. Syst., 2021)

Tydi-lang: A Language for Typed Streaming Hardware. - Yongding Tian; Matthijs A. Reukers; Zaid Al-Ars; H. Peter Hofstee; Matthijs Brobbel; Johan Peltenburg; Jeroen van Straten (SC Workshops, 2023)

An Intermediate Representation for Composable Typed Streaming Dataflow Designs. - Matthijs A. Reukers; Yongding Tian; Zaid Al-Ars; H. Peter Hofstee; Matthijs Brobbel; Johan Peltenburg; Jeroen van Straten (VLDB Workshops, 2023)

Theseus: A Distributed and Scalable GPU-Accelerated Query Processing Platform Optimized for Efficient Data Movement. - Felipe Aramburú; William Malpica; Kaouther Abrougui; Amin Aramoon; Romulo Auccapuclla; Claude Brisson; Matthijs Brobbel; Colby Farrell; Pradeep Garigipati; Joost Hoozemans; Supun Kamburugamuve; Akhil Nair; et al. (CoRR, 2025)