Porrmann M, Kalte H, Witkowski U, Niemann J-C, Rückert U. A Dynamically Reconfigurable Hardware Accelerator for Self-Organizing Feature Maps. In: Proceedings of The 5th World Multi-Conference on Systemics, Cybernetics and Informatics, SCI 2001. Vol 3. Orlando, Florida, USA; 2001: 242-247.A 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 prototyping system consists of a motherboard and up to six application specific modules. The motherboard provides the necessary communication infrastructure for the application specific functionality that is implented on the modules. RAPTOR2000 is linked to its host - a s...
Pohl C, Hagemeyer J, Porrmann M, Rückert U. Using a Reconfigurable Compute Cluster for the Accelerat...
The motivation for this research is to be able to replicate a simplified neuronal model onto an FPGA...
This article presents the implementation of a neuroprocessor based on a self-organizing map (SOM) ar...
Abstract. A dynamically reconfigurable hardware accelerator for self-organizing feature maps is pres...
Porrmann M, Witkowski U, Rückert U. A Massively Parallel Architecture for Self-Organizing Feature Ma...
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, Rückert U. A Scalable Processor Array for Self-Organizing Feature Maps. In: Proceedings o...
Rüping S, Rückert U, Goser K. A Chip for Selforganizing Feature Maps. In: Proceedings of the 4th In...
Rüping S, Porrmann M, Rückert U. A High Performance SOFM Hardware-System. In: Proceedings of the In...
In this paper we present a hardware realization of Kohonen's selforganizing feature map as a ne...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
In this paper we present a system which enables easy and fast computation of Kohonen's selforga...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
Rüping S, Porrmann M, Rückert U. SOM Accelerator System. Neurocomputing. 1998;21:31-50.Many applicat...
Pohl C, Hagemeyer J, Porrmann M, Rückert U. Using a Reconfigurable Compute Cluster for the Accelerat...
The motivation for this research is to be able to replicate a simplified neuronal model onto an FPGA...
This article presents the implementation of a neuroprocessor based on a self-organizing map (SOM) ar...
Abstract. A dynamically reconfigurable hardware accelerator for self-organizing feature maps is pres...
Porrmann M, Witkowski U, Rückert U. A Massively Parallel Architecture for Self-Organizing Feature Ma...
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, Rückert U. A Scalable Processor Array for Self-Organizing Feature Maps. In: Proceedings o...
Rüping S, Rückert U, Goser K. A Chip for Selforganizing Feature Maps. In: Proceedings of the 4th In...
Rüping S, Porrmann M, Rückert U. A High Performance SOFM Hardware-System. In: Proceedings of the In...
In this paper we present a hardware realization of Kohonen's selforganizing feature map as a ne...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
In this paper we present a system which enables easy and fast computation of Kohonen's selforga...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
Rüping S, Porrmann M, Rückert U. SOM Accelerator System. Neurocomputing. 1998;21:31-50.Many applicat...
Pohl C, Hagemeyer J, Porrmann M, Rückert U. Using a Reconfigurable Compute Cluster for the Accelerat...
The motivation for this research is to be able to replicate a simplified neuronal model onto an FPGA...
This article presents the implementation of a neuroprocessor based on a self-organizing map (SOM) ar...