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Steffen Bähr
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Journal Articles
- 2024
- [j2]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, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data 6 (2024) - 2022
- [j1]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, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan
, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk
, Shen Wang, Thomas K. Warburton:
Applications and Techniques for Fast Machine Learning in Science. Frontiers Big Data 5: 787421 (2022)
Conference and Workshop Papers
- 2021
- [c9]Fabian Kempf, Thomas Hartmann, Steffen Baehr, Jürgen Becker:
An Adaptive Lockstep Architecture for Mixed-Criticality Systems. ISVLSI 2021: 7-12 - 2018
- [c8]Johannes Pfau
, Shalina Percy Delicia Figuli
, Steffen Bähr
, Jürgen Becker
:
Reconfigurable FPGA-Based Channelization Using Polyphase Filter Banks for Quantum Computing Systems. ARC 2018: 615-626 - [c7]Steffen Baehr, Fabian Kempf, Jürgen Becker:
Data Readout Triggering for Phase 2 of the Belle II Particle Detector Experiment Based on Neural Networks. SoCC 2018: 174-179 - 2015
- [c6]Viet Vu Duy, Oliver Sander, Timo Sandmann, Jan Heidelberger, Steffen Baehr, Jürgen Becker
:
On-demand reconfiguration for coprocessors in mixed criticality multicore systems. HPCS 2015: 569-576 - 2014
- [c5]Oliver Sander, Timo Sandmann, Viet Vu Duy, Steffen Bähr, Falco Bapp, Jürgen Becker
, Hans-Ulrich Michel, Dirk Kaule, Daniel Adam, Enno Lübbers, Jürgen Hairbucher, Andre Oliver Richter, Christian Herber, Andreas Herkersdorf:
Hardware virtualization support for shared resources in mixed-criticality multicore systems. DATE 2014: 1-6 - [c4]Oliver Sander, Steffen Baehr, Enno Lübbers, Timo Sandmann, Viet Vu Duy, Jürgen Becker
:
A flexible interface architecture for reconfigurable coprocessors in embedded multicore systems using PCIe Single-root I/O virtualization. FPT 2014: 223-226 - [c3]Viet Vu Duy, Timo Sandmann, Steffen Baehr, Oliver Sander, Jürgen Becker
:
Virtualization Support for FPGA-Based Coprocessors Connected via PCI Express to an Intel Multicore Platform. IPDPS Workshops 2014: 305-310 - [c2]Oliver Sander, Falco Bapp, Timo Sandmann, Viet Vu Duy, Steffen Bähr, Jürgen Becker
:
Architectural measures against radiation effects in multicore SoC for safety critical applications. MWSCAS 2014: 663-666 - [c1]Viet Vu Duy, Oliver Sander, Timo Sandmann, Steffen Bähr, Jan Heidelberger, Jürgen Becker
:
Enabling partial reconfiguration for coprocessors in mixed criticality multicore systems using PCI express single-root I/O virtualization. ReConFig 2014: 1-6
Informal and Other Publications
- 2021
- [i1]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, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo
, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk
, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela
, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey D. Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric A. Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park
, Subramanian Ramamoorthy, Dylan S. Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng:
Applications and Techniques for Fast Machine Learning in Science. CoRR abs/2110.13041 (2021)
Coauthor Index
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last updated on 2024-07-17 20:30 CEST by the dblp team
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