Designing scalable FPGA architectures using high-level synthesis. - Johannes de Fine Licht; Michaela Blott; Torsten Hoefler (PPoPP, 2018)

Substream-Centric Maximum Matchings on FPGA. - Maciej Besta; Marc Fischer; Tal Ben-Nun; Johannes de Fine Licht; Torsten Hoefler (FPGA, 2019)

Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures. - Tal Ben-Nun; Johannes de Fine Licht; Alexandros Nikolaos Ziogas; Timo Schneider; Torsten Hoefler (SC, 2019)

Streaming message interface: high-performance distributed memory programming on reconfigurable hardware. - Tiziano De Matteis; Johannes de Fine Licht; Jakub Beránek; Torsten Hoefler (SC, 2019)

Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs. - Tal Ben-Nun; Johannes de Fine Licht; Alexandros Nikolaos Ziogas; Timo Schneider; Torsten Hoefler (CoRR, 2019)

Graph Processing on FPGAs: Taxonomy, Survey, Challenges. - Maciej Besta; Dimitri Stanojevic; Johannes de Fine Licht; Tal Ben-Nun; Torsten Hoefler (CoRR, 2019)

hlslib: Software Engineering for Hardware Design. - Johannes de Fine Licht; Torsten Hoefler (CoRR, 2019)

Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis. - Johannes de Fine Licht; Grzegorz Kwasniewski; Torsten Hoefler (FPGA, 2020)

fBLAS: streaming linear algebra on FPGA. - Tiziano De Matteis; Johannes de Fine Licht; Torsten Hoefler (SC, 2020)

Substream-Centric Maximum Matchings on FPGA. - Maciej Besta; Marc Fischer; Tal Ben-Nun; Dimitri Stanojevic; Johannes de Fine Licht; Torsten Hoefler (ACM Trans. Reconfigurable Technol. Syst., 2020)

StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. - Johannes de Fine Licht; Andreas Kuster; Tiziano De Matteis; Tal Ben-Nun; Dominic Hofer; Torsten Hoefler (CGO, 2021)

Productivity, portability, performance: data-centric Python. - Alexandros Nikolaos Ziogas; Timo Schneider; Tal Ben-Nun; Alexandru Calotoiu; Tiziano De Matteis; Johannes de Fine Licht; Luca Lavarini; Torsten Hoefler (SC, 2021)

Transformations of High-Level Synthesis Codes for High-Performance Computing. - Johannes de Fine Licht; Maciej Besta; Simon Meierhans; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2021)

Productive FPGA Programming for High-Performance Computing. - Johannes de Fine Licht (2021)

Fast Arbitrary Precision Floating Point on FPGA. - Johannes de Fine Licht; Christopher A. Pattison; Alexandros Nikolaos Ziogas; David Simmons-Duffin; Torsten Hoefler (FCCM, 2022)

Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. - Carl-Johannes Johnsen; Tiziano De Matteis; Tal Ben-Nun; Johannes de Fine Licht; Torsten Hoefler (ICCAD, 2022)

Lifting C semantics for dataflow optimization. - Alexandru Calotoiu; Tal Ben-Nun; Grzegorz Kwasniewski; Johannes de Fine Licht; Timo Schneider; Philipp Schaad; Torsten Hoefler (ICS, 2022)

Python FPGA Programming with Data-Centric Multi-Level Design. - Johannes de Fine Licht; Tiziano De Matteis; Tal Ben-Nun; Andreas Kuster; Oliver Rausch; Manuel Burger; Carl-Johannes Johnsen; Torsten Hoefler (CoRR, 2022)

Streaming Task Graph Scheduling for Dataflow Architectures. - Tiziano De Matteis; Lukas Gianinazzi; Johannes de Fine Licht; Torsten Hoefler (HPDC, 2023)

Co-design Hardware and Algorithm for Vector Search. - Wenqi Jiang 001; Shigang Li 002; Yu Zhu; Johannes de Fine Licht; Zhenhao He; Runbin Shi; Cédric Renggli; Shuai Zhang 007; Theodoros Rekatsinas; Torsten Hoefler; Gustavo Alonso (SC, 2023)

Wavefront Threading Enables Effective High-Level Synthesis. - Blake Pelton; Adam Sapek; Ken Eguro; Daniel Lo; Alessandro Forin; Matt Humphrey; Jinwen Xi; David Cox; Rajas Karandikar; Johannes de Fine Licht; Evgeny Babin; Adrian M. Caulfield; et al. (Proc. ACM Program. Lang., 2024)

Productivity, Portability, Performance, and Reproducibility: Data-Centric Python. - Alexandros Nikolaos Ziogas; Timo Schneider; Tal Ben-Nun; Alexandru Calotoiu; Tiziano De Matteis; Johannes de Fine Licht; Luca Lavarini; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2025)