Jaco Hofmann, M.Sc.
		Technische Universität Darmstadt
		FB20 (Informatik)
		FG Eingebettete Systeme und ihre Anwendungen
		Hochschulstr. 10
		D-64289 Darmstadt
		Telefon: +49 6151 / 16-22431
		Fax: +49 6151 / 16-22422
		E-Mail:	hofmann@esa.tu-darmstadt.de
		PGP Key:	link
		S2/02 (Piloty-Gebäude), Raum E106

Forschungsgebiete

• Hardware Beschleuniger

Lebenslauf

seit 2015

Wissenschaftlicher Mitarbeiter der Fachgruppe Eingebettete Systeme und ihre Anwendungen (ESA)

2012-2014

M.Sc. Embedded Systems, TU Delft

2009-2012

B.Sc. Informatik, TU Darmstadt

Veröffentlichungen

H. T. Dang, J. Hofmann, Y. Liu, M. Radi, D. Vucinic, R. Soulé and F. Pedone
Consensus for Non-volatile Main Memory
2018 IEEE 26th International Conference on Network Protocols (ICNP)
IEEExplore

A. Zjajo, J. Hofmann, G. J. Christiaanse, M. van Eijk, G. Smaragdos, C. Strydis, A. de Graaf, C. Galuzzi and R. v. Leuken
A Real-Time Reconfigurable Multichip Architecture for Large-Scale Biophysically Accurate Neuron Simulation
IEEE Transactions on Biomedical Circuits and Systems, 01-2018
IEEExplore

Lukas Sommer, Julian Oppermann, Jaco Hofmann, Andreas Koch
Synthesis of Interleaved Multithreaded Accelerators from OpenMP Loops
2017 International Conference on Reconfigurable Computing and FPGAs (ReConFig'17), Cancun (Mexico), 12-2017
Paper OpenMP ReConfig 2017 (preprint)

Jaco Hofmann, Jens Korinth, Andreas Koch
A Scalable Latency-Insensitive Architecture for FPGA-Accelerated Semi-Global Matching in Stereo Vision Applications
IEEE Proc. International Conference on ReConFigurable Computing and FPGAs (ReConFig), Cancun (MX), 11-2016
Paper ReConFig 2016

J. Hofmann, A. Zjajo, C. Galuzzi and R. van Leuken
Multi-chip dataflow architecture for massive scale biophysically accurate neuron simulation
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando (USA), 08-2016

Jaco Hofmann, Jens Korinth, Andreas Koch
A Scalable High-Performance Hardware Architecture for Real-Time Stereo Vision by Semi-Global Matching
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Las Vegas (USA), 06-2016
Paper CVPRW 2016 (Best Paper Runner-Up)