This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) using graphics hardware. The Parameter-Less SOM smoothly adapts to new data while preserving the mapping formed by previous data. It is therefore in principle highly suited for interactive use, however for large data sets the computational requirements are prohibitive. This paper will present an implementation on commodity graphics hardware which uses two forms of parallelism to significantly reduce this barrier. The performance is analysed experimentally and algorithmically. An advantage to using graphics hardware is that visualisation is essentially "free", thus increasing its suitability for interactive exploration of large data sets
This paper presents self-organizing feature maps as an efficient tool generating solutions of the ma...
In this paper, we propose an enhanced parallel Self organizing Map (SOM) framework based on heteroge...
Pohl C, Franzmeier M, Porrmann M, Rückert U. gNBX - reconfigurable hardware acceleration of self-org...
This paper presents a highly parallel implementation of a\ud new type of Self-Organising Map (SOM) u...
The capability for understanding data passes through the ability of producing an effective and fast ...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
AbstractThe self-organizing map (SOM) methodology does vector quantization and clustering on the dat...
In this paper we introduce a MapReduce-based implementation of self-organizing maps that performs co...
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...
This dissertation presents the culmination of research performed over six years into developing a pa...
A review of recent development of the self-organising map (SOM) for applications related to data map...
Porrmann M, Kalte H, Witkowski U, Niemann J-C, Rückert U. A Dynamically Reconfigurable Hardware Acce...
In this paper we present a system which enables easy and fast computation of Kohonen's selforga...
In this paper, we introduce XPySom, a new opensource Python implementation of the well-known Self-Or...
This paper presents self-organizing feature maps as an efficient tool generating solutions of the ma...
In this paper, we propose an enhanced parallel Self organizing Map (SOM) framework based on heteroge...
Pohl C, Franzmeier M, Porrmann M, Rückert U. gNBX - reconfigurable hardware acceleration of self-org...
This paper presents a highly parallel implementation of a\ud new type of Self-Organising Map (SOM) u...
The capability for understanding data passes through the ability of producing an effective and fast ...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
AbstractThe self-organizing map (SOM) methodology does vector quantization and clustering on the dat...
In this paper we introduce a MapReduce-based implementation of self-organizing maps that performs co...
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...
This dissertation presents the culmination of research performed over six years into developing a pa...
A review of recent development of the self-organising map (SOM) for applications related to data map...
Porrmann M, Kalte H, Witkowski U, Niemann J-C, Rückert U. A Dynamically Reconfigurable Hardware Acce...
In this paper we present a system which enables easy and fast computation of Kohonen's selforga...
In this paper, we introduce XPySom, a new opensource Python implementation of the well-known Self-Or...
This paper presents self-organizing feature maps as an efficient tool generating solutions of the ma...
In this paper, we propose an enhanced parallel Self organizing Map (SOM) framework based on heteroge...
Pohl C, Franzmeier M, Porrmann M, Rückert U. gNBX - reconfigurable hardware acceleration of self-org...