Michael J. Klaiber
Michael J. Klaiber
Corporate Research, Robert Bosch GmbH
Bestätigte E-Mail-Adresse bei michael-klaiber.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A Scalable Multi‐TeraOPS Deep Learning Processor Core for AI Training and Inference
B Fleischer, S Shukla, MJ Klaiber, et al.
2018 Symposia on VLSI Technology and Circuit, 2018
752018
A memory-efficient parallel single pass architecture for connected component labeling of streamed images
M Klaiber, L Rockstroh, Z Wang, Y Baroud, S Simon
2012 International Conference on Field-Programmable Technology, 159-165, 2012
402012
A Resource-Efficient Hardware Architecture for Connected Components Analysis
MJ Klaiber, DG Bailey, YO Baroud, S Simon
IEEE Transactions on Circuits and Systems for Video Technology, 0
35*
A high-throughput FPGA architecture for parallel connected components analysis based on label reuse
MJ Klaiber, DG Bailey, S Ahmed, Y Baroud, S Simon
2013 International Conference on Field-Programmable Technology (FPT), 302-305, 2013
222013
Adaptive Dynamic On-chip Memory Management for FPGA-based reconfigurable architectures
G Dessouky, MJ Klaiber, DG Bailey, S Simon
2014 24th International Conference on Field Programmable Logic and …, 2014
182014
A single-cycle parallel multi-slice connected components analysis hardware architecture
MJ Klaiber, DG Bailey, S Simon
Journal of Real-Time Image Processing 16 (4), 1165-1175, 2019
132019
A scalable multi-TeraOPS core for AI training and inference
S Shukla, B Fleischer, M Ziegler, J Silberman, J Oh, V Srinivasan, J Choi, ...
IEEE Solid-State Circuits Letters 1 (12), 217-220, 2018
82018
Zig-zag based single-pass connected components analysis
DG Bailey, MJ Klaiber
Journal of Imaging 5 (4), 45, 2019
72019
Stream Processing of Scientific Big Data on Heterogeneous Platforms--Image Analytics on Big Data in Motion
SM Najmabadi, M Klaiber, Z Wang, Y Baroud, S Simon
2013 IEEE 16th International Conference on Computational Science and …, 2013
72013
Fast lossless image compression with 2D Golomb parameter adaptation based on JPEG-LS
Z Wang, M Klaiber, Y Gera, S Simon, T Richter
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
72012
Efficient hardware calculation of running statistics
DG Bailey, MJ Klaiber
2013 28th International Conference on Image and Vision Computing New Zealand …, 2013
42013
Real-time determination of interfacial tension from the shape of a pendant drop based on embedded image processing
M Najmabadi, F Tamm, M Klaiber, Y Baroud, S Drusch, S Simon
25th European Conference on Liquid Atomization Spray Systems, Chania, Greece, 2013
42013
Comparative study and proof of single-pass connected components algorithms
MJ Klaiber, DG Bailey, S Simon
Journal of Mathematical Imaging and Vision 61 (8), 1112-1134, 2019
32019
A Parallel and Resource-efficient Single Lookup Connected Components Analysis Architecture for Reconfigurable Hardware
MJ Klaiber
Institut für Parallele und Verteilte Systeme der Universität Stuttgart, 2016
32016
A Real-Time Process Analysis System for the Simultaneous Acquisition of Spray Characteristics
MJ Klaiber, Z Wang, S Simon
Process-Spray, 265-305, 2016
22016
Parallel hardware architecture for jpeg-ls based on domain decomposition
S Ahmed, Z Wang, M Klaiber, S Wahl, M Wroblewski, S Simon
Applications of Digital Image Processing XXXV 8499, 849914, 2012
22012
Investigation of polymerization of NVP and drying of PVP in an acoustic levitator using a smart camera for online process measurement
J Laackmann, S Ahmed, R Sedelmayer, M Klaiber, W Pauer, S Simon
Proceedings ICLASS, 2012
22012
Efficient AI System Design With Cross-Layer Approximate Computing
S Venkataramani, X Sun, N Wang, CY Chen, J Choi, M Kang, A Agarwal, ...
Proceedings of the IEEE 108 (12), 2232-2250, 2020
12020
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models
MJ Klaiber, S Vogel, A Acosta, R Korn, L Ecco, K Back, A Guntoro, ...
Proceedings of the INTelligent Embedded Systems Architectures and …, 2019
12019
Across the Stack Opportunities for Deep Learning Acceleration
V Srinivasan, B Fleischer, S Shukla, M Ziegler, J Silberman, J Oh, J Choi, ...
Proceedings of the International Symposium on Low Power Electronics and …, 2018
12018
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