Abstract. A dynamically reconfigurable hardware accelerator for self-organizing feature maps is presented. The system is based on the universal rapid prototyping system RAPTOR2000 that has been developed by the authors. The modular prototyping system is based on XILINX FPGAs and is capable of emulating hardware implementations with a complexity of more than 24 million system gates. RAPTOR2000 is linked to its host – a standard personal computer or workstation – via the PCI bus. For the simulation of self-organizing maps a module has been designed for the RAPTOR2000 system, that embodies an FPGA of the Xilinx Virtex series and optionally up to 128 MBytes of SDRAM. A speedup of about 50 is achieved with five FPGA modules on the RAPTOR2000 sys...
Rüping S, Goser K, Rückert U. A Chip for Selforganizing Feature Maps. IEEE Micro. 1995;15(3):57-59.T...
The inherent reconfigurability of SRAM-based FPGAs enables the use of configurations optimized for t...
This paper presents a highly parallel implementation of a\ud new type of Self-Organising Map (SOM) u...
Porrmann M, Kalte H, Witkowski U, Niemann J-C, Rückert U. A Dynamically Reconfigurable Hardware Acce...
Lachmair J, Merényi E, Porrmann M, Rückert U. A reconfigurable neuroprocessor for self-organizing fe...
Pohl C, Franzmeier M, Porrmann M, Rückert U. gNBX - reconfigurable hardware acceleration of self-org...
Rüping S, Porrmann M, Rückert U. A High Performance SOFM Hardware-System. In: Proceedings of the In...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
Rüping S, Porrmann M, Rückert U. SOM Accelerator System. Neurocomputing. 1998;21:31-50.Many applicat...
Rüping S, Rückert U. A Scalable Processor Array for Self-Organizing Feature Maps. In: Proceedings o...
Porrmann M, Witkowski U, Rückert U. A Massively Parallel Architecture for Self-Organizing Feature Ma...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
In this paper we present a system which enables easy and fast computation of Kohonen's selforga...
Since its introduction in 1982, Kohonen’s Self-Organizing Map (SOM) showed its ability to classify a...
The paper presents a method for FPGA implementation of Self-Organizing Map (SOM) artificial neural n...
Rüping S, Goser K, Rückert U. A Chip for Selforganizing Feature Maps. IEEE Micro. 1995;15(3):57-59.T...
The inherent reconfigurability of SRAM-based FPGAs enables the use of configurations optimized for t...
This paper presents a highly parallel implementation of a\ud new type of Self-Organising Map (SOM) u...
Porrmann M, Kalte H, Witkowski U, Niemann J-C, Rückert U. A Dynamically Reconfigurable Hardware Acce...
Lachmair J, Merényi E, Porrmann M, Rückert U. A reconfigurable neuroprocessor for self-organizing fe...
Pohl C, Franzmeier M, Porrmann M, Rückert U. gNBX - reconfigurable hardware acceleration of self-org...
Rüping S, Porrmann M, Rückert U. A High Performance SOFM Hardware-System. In: Proceedings of the In...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
Rüping S, Porrmann M, Rückert U. SOM Accelerator System. Neurocomputing. 1998;21:31-50.Many applicat...
Rüping S, Rückert U. A Scalable Processor Array for Self-Organizing Feature Maps. In: Proceedings o...
Porrmann M, Witkowski U, Rückert U. A Massively Parallel Architecture for Self-Organizing Feature Ma...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
In this paper we present a system which enables easy and fast computation of Kohonen's selforga...
Since its introduction in 1982, Kohonen’s Self-Organizing Map (SOM) showed its ability to classify a...
The paper presents a method for FPGA implementation of Self-Organizing Map (SOM) artificial neural n...
Rüping S, Goser K, Rückert U. A Chip for Selforganizing Feature Maps. IEEE Micro. 1995;15(3):57-59.T...
The inherent reconfigurability of SRAM-based FPGAs enables the use of configurations optimized for t...
This paper presents a highly parallel implementation of a\ud new type of Self-Organising Map (SOM) u...