Hardware virtualization support for shared resources in mixed-criticality multicore systems. - Oliver Sander; Timo Sandmann; Viet Vu Duy; Steffen Bähr; Falco Bapp; Jürgen Becker 001; Hans-Ulrich Michel; Dirk Kaule; Daniel Adam; Enno Lübbers; Jürgen Hairbucher; Andre Oliver Richter; et al. (DATE, 2014)

A flexible interface architecture for reconfigurable coprocessors in embedded multicore systems using PCIe Single-root I/O virtualization. - Oliver Sander; Steffen Baehr; Enno Lübbers; Timo Sandmann; Viet Vu Duy; Jürgen Becker 001 (FPT, 2014)

Virtualization Support for FPGA-Based Coprocessors Connected via PCI Express to an Intel Multicore Platform. - Viet Vu Duy; Timo Sandmann; Steffen Baehr; Oliver Sander; Jürgen Becker 001 (IPDPS Workshops, 2014)

Architectural measures against radiation effects in multicore SoC for safety critical applications. - Oliver Sander; Falco Bapp; Timo Sandmann; Viet Vu Duy; Steffen Bähr; Jürgen Becker 001 (MWSCAS, 2014)

Enabling partial reconfiguration for coprocessors in mixed criticality multicore systems using PCI express single-root I/O virtualization. - Viet Vu Duy; Oliver Sander; Timo Sandmann; Steffen Bähr; Jan Heidelberger; Jürgen Becker 001 (ReConFig, 2014)

On-demand reconfiguration for coprocessors in mixed criticality multicore systems. - Viet Vu Duy; Oliver Sander; Timo Sandmann; Jan Heidelberger; Steffen Baehr; Jürgen Becker 001 (HPCS, 2015)

Reconfigurable FPGA-Based Channelization Using Polyphase Filter Banks for Quantum Computing Systems. - Johannes Pfau; Shalina Percy Delicia Figuli; Steffen Bähr; Jürgen Becker 001 (ARC, 2018)

Data Readout Triggering for Phase 2 of the Belle II Particle Detector Experiment Based on Neural Networks. - Steffen Baehr; Fabian Kempf; Jürgen Becker 001 (SoCC, 2018)

An Adaptive Lockstep Architecture for Mixed-Criticality Systems. - Fabian Kempf; Thomas Hartmann; Steffen Baehr; Jürgen Becker 001 (ISVLSI, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (Frontiers Big Data, 2022)

Corrigendum: Applications and techniques for fast machine learning in science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci-Memik; et al. (Frontiers Big Data, 2024)