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CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems.

F. Kreß, V. Sidorenko, P. Schmidt, J. Höfer, T. Hotfilter, I. Walter, T. Harbaum, and J. Becker. Comput. Networks, (June 2023)

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Tim Mattern

Regeneration der Grünlandnarbe nach Winterbeweidung mit RindernT. Mattern. Uni Gießen, (2009)

Ulrich Timm

Irmgard Timm

Gisela Timm

Arnold Timberg

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Data Movement Reduction for DNN Accelerators: Enabling Dynamic Quantization Through an eFPGA.T. Hotfilter, F. Kreß, F. Kempf, J. Becker, and I. Baili. ISVLSI, page 371-372. IEEE, (2022)An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN Workload.T. Hotfilter, P. Schmidt, J. Höfer, F. Kreß, T. Harbaum, and J. Becker. DroneSE/RAPIDO@HiPEAC, page 73-78. ACM, (2023)Embedded Face Recognition for Personalized Services in the Assistive Robotics.I. Walter, J. Ney, T. Hotfilter, V. Rybalkin, J. Höfer, N. Wehn, and J. Becker. PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 339-350. Springer, (2021)FLECSim-SoC: A Flexible End-to-End Co-Design Simulation Framework for System on Chips.T. Hotfilter, J. Höfer, F. Kreß, F. Kempf, and J. Becker. SoCC, page 83-88. IEEE, (2021)EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly Detection.M. Stammler, J. Höfer, D. Kraus, P. Schmidt, T. Hotfilter, T. Harbaum, and J. Becker. INNS DLIA@IJCNN, volume 222 of Procedia Computer Science, page 499-508. Elsevier, (2023)LETSCOPE: Lifecycle Extensions Through Software-Defined Predictive Control of Power Electronics.A. Chu, C. Hermann, J. Silz, J. Pfau, K. Barón, N. Anantharajaiah, P. Schmidt, T. Hotfilter, X. Xie, J. Becker and 3 other author(s). EUROCON, page 665-670. IEEE, (2023)Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy Efficiency.T. Hotfilter, J. Höfer, P. Merz, F. Kreß, F. Kempf, T. Harbaum, and J. Becker. SOCC, page 1-6. IEEE, (2023)CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems.F. Kreß, V. Sidorenko, P. Schmidt, J. Höfer, T. Hotfilter, I. Walter, T. Harbaum, and J. Becker. Comput. Networks, (June 2023)Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications.F. Kreß, J. Höfer, T. Hotfilter, I. Walter, V. Sidorenko, T. Harbaum, and J. Becker. DCOSS, page 133-140. IEEE, (2022)Towards Reconfigurable Accelerators in HPC: Designing a Multipurpose eFPGA Tile for Heterogeneous SoCs.T. Hotfilter, F. Kreß, F. Kempf, J. Becker, J. Ruiz, D. Jiménez-González, M. Moretó, C. Álvarez, J. Labarta, and I. Baili. DATE, page 628-631. IEEE, (2022)

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Disambiguation of "Hotfilter, Tim"

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CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems.

Please choose a person to relate this publication to

Tim Mattern

Ulrich Timm

Irmgard Timm

Gisela Timm

Arnold Timberg

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hotfilter, Tim"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems.

Please choose a person to relate this publication to

Tim Mattern

Ulrich Timm

Irmgard Timm

Gisela Timm

Arnold Timberg

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems.