Pohl C, Franzmeier M, Porrmann M, Rückert U. gNBX - reconfigurable hardware acceleration of self-organizing maps. In: IEEE Electron Devices Society, School of Information Technology and Electrical Engineering, eds. Field-Programmable Technology, 2004. Proceedings. 2004 IEEE International Conference on. Piscataway, NJ: IEEE; 2004: 97-104.In this paper a new FPGA based hardware accelerator (gNBX) for Se(f-Organizing Maps is introduced. New principles for hardware acceleration of Self-Organizing Maps, which increase the degree of paralleliry arid therefore the acceleration gain will be presented. Our technology independent design description can be mapped on application specific integrated circuits if very high performance is required, as wel...
Since its introduction in 1982, Kohonen’s Self-Organizing Map (SOM) showed its ability to classify a...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
This dissertation presents the culmination of research performed over six years into developing a pa...
Porrmann M, Kalte H, Witkowski U, Niemann J-C, Rückert U. A Dynamically Reconfigurable Hardware Acce...
Abstract. A dynamically reconfigurable hardware accelerator for self-organizing feature maps is pres...
Rüping S, Porrmann M, Rückert U. SOM Accelerator System. Neurocomputing. 1998;21:31-50.Many applicat...
Franzmeier M, Pohl C, Porrmann M, Rückert U. Hardware Accelerated Data Analysis. In: IEEE Computer S...
Rüping S, Porrmann M, Rückert U. A High Performance SOFM Hardware-System. In: Proceedings of the In...
Porrmann M, Witkowski U, Rückert U. A Massively Parallel Architecture for Self-Organizing Feature Ma...
Lachmair J, Merenyi E, Porrmann M, Rückert U. gNBXe - a Reconfigurable Neuroprocessor for Various Ty...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
Lachmair J, Merényi E, Porrmann M, Rückert U. A reconfigurable neuroprocessor for self-organizing fe...
Rüping S, Rückert U. A Scalable Processor Array for Self-Organizing Feature Maps. In: Proceedings o...
This paper presents a highly parallel implementation of a\ud new type of Self-Organising Map (SOM) u...
The motivation for this research is to be able to replicate a simplified neuronal model onto an FPGA...
Since its introduction in 1982, Kohonen’s Self-Organizing Map (SOM) showed its ability to classify a...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
This dissertation presents the culmination of research performed over six years into developing a pa...
Porrmann M, Kalte H, Witkowski U, Niemann J-C, Rückert U. A Dynamically Reconfigurable Hardware Acce...
Abstract. A dynamically reconfigurable hardware accelerator for self-organizing feature maps is pres...
Rüping S, Porrmann M, Rückert U. SOM Accelerator System. Neurocomputing. 1998;21:31-50.Many applicat...
Franzmeier M, Pohl C, Porrmann M, Rückert U. Hardware Accelerated Data Analysis. In: IEEE Computer S...
Rüping S, Porrmann M, Rückert U. A High Performance SOFM Hardware-System. In: Proceedings of the In...
Porrmann M, Witkowski U, Rückert U. A Massively Parallel Architecture for Self-Organizing Feature Ma...
Lachmair J, Merenyi E, Porrmann M, Rückert U. gNBXe - a Reconfigurable Neuroprocessor for Various Ty...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
Lachmair J, Merényi E, Porrmann M, Rückert U. A reconfigurable neuroprocessor for self-organizing fe...
Rüping S, Rückert U. A Scalable Processor Array for Self-Organizing Feature Maps. In: Proceedings o...
This paper presents a highly parallel implementation of a\ud new type of Self-Organising Map (SOM) u...
The motivation for this research is to be able to replicate a simplified neuronal model onto an FPGA...
Since its introduction in 1982, Kohonen’s Self-Organizing Map (SOM) showed its ability to classify a...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
This dissertation presents the culmination of research performed over six years into developing a pa...