Bernhard Vogginger Dipl.-Phys.
Person

Affiliations

Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics
- Academic Staff
- bernhard.vogginger@tu-dresden.de

Identification Numbers

Scopus author ID	50662105600

Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing

Pedersen, J. E., Abreu, S., Jobst, M., Lenz, G., Fra, V., Christian Bauer, F., Richard Muir, D., & 8 othersZhou, P., Vogginger, B., Heckel, K., Urgese, G., Shankar, S., C. Stewart, T., Sheik, S. & K. Eshraghian, J., 16 Sept 2024, In: Nature Communications. 15, 1, 8122.

Research output: Contribution to journal › Research article › Contributed › peer-review

CA-CFAR is Convolution: Fast Target Detection with Machine Learning Accelerator

Liu, C., Kelber, F., Vogginger, B. & Mayr, C., 14 Jun 2024, 2024 13th Mediterranean Conference on Embedded Computing (MECO). IEEE, p. 1-6 6 p. 10577789

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

A Low-footprint FFT Accelerator for a RISC-V-based Multi-core DSP in FMCW Radars

Gonzalez, H. A., Stolba, M., Vogginger, B., Rosmeisl, T., Liu, C. & Mayr, C., 22 May 2024, 2024 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, p. 1-5 5 p. 10558386

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Language Modeling on a SpiNNaker2 Neuromorphic Chip

Nazeer, K. K., Schöne, M., Mukherji, R., Vogginger, B., Mayr, C., Kappel, D. & Subramoney, A., 25 Apr 2024, 2024 IEEE 6th International Conference on AI Circuits and Systems, AICAS 2024 - Proceedings. IEEE, p. 492-496 5 p. 10595870

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Fast Switching Serial and Parallel Paradigms of SNN Inference on Multi-core Heterogeneous Neuromorphic Platform SpiNNaker2

Huang, J., Vogginger, B., Kelber, F., Gonzalez, H., Knobloch, K. & Mayr, C. G., 2024.

Research output: Preprint/Documentation/Report › Preprint

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Research Portal of the TU Dresden

Bernhard Vogginger Dipl.-Phys.
Person

Affiliations

Identification Numbers

Related content

Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing

CA-CFAR is Convolution: Fast Target Detection with Machine Learning Accelerator

A Low-footprint FFT Accelerator for a RISC-V-based Multi-core DSP in FMCW Radars

Language Modeling on a SpiNNaker2 Neuromorphic Chip

Fast Switching Serial and Parallel Paradigms of SNN Inference on Multi-core Heterogeneous Neuromorphic Platform SpiNNaker2