The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable for massively parallel computations is presented in this paper. The RM family of neurocomputers range from a single board system capable (of providing supercomputer power to more elaborate systems suitable for very complex real time neural computation. The major architectural breakthrough in the design of RM neurocomputers is the fact that a completely reconfigurable platform, not only in the domain of communications and control but also in the domain of processing elements, is provided. Another contribution is the implementation of a last floating point sum of products circuit which uses special carry-save multipliers and extensive pipelini...
A parallel architecture for implementing massive neural networks, called MindShape, is presented. Mi...
In this study, we present a highly configurable neuromorphic computing substrate and use it for emul...
Porrmann M, Witkowski U, Kalte H, Rückert U. Dynamically Reconfigurable Hardware – A New Perspective...
The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable...
The objective of the RM team is to provide a platform to implement a hardware version of an algorith...
There are several neural network implementations using either software, hardware-based or a hardware...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
Contains fulltext : 18657.pdf (publisher's version ) (Open Access)In this thesis, ...
This thesis aims to understand how to design high performance, flexible and cost effective neural co...
Over the last few years tremendous progress has been made in neuroscience by employing simulation to...
Summarization: Neuromorphic computing is expanding by leaps and bounds through custom integrated cir...
For comprehensive understanding of how neurons communicate with each other, new tools need to be dev...
Here we describe the logical design and testing of a general-purpose neurocomputer, AMNIAC. It may b...
Despite the great strides neuroscience has made in recent decades, the underlying principles of brai...
For comprehensive understanding of how neurons communicate with each other, new tools need to be dev...
A parallel architecture for implementing massive neural networks, called MindShape, is presented. Mi...
In this study, we present a highly configurable neuromorphic computing substrate and use it for emul...
Porrmann M, Witkowski U, Kalte H, Rückert U. Dynamically Reconfigurable Hardware – A New Perspective...
The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable...
The objective of the RM team is to provide a platform to implement a hardware version of an algorith...
There are several neural network implementations using either software, hardware-based or a hardware...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
Contains fulltext : 18657.pdf (publisher's version ) (Open Access)In this thesis, ...
This thesis aims to understand how to design high performance, flexible and cost effective neural co...
Over the last few years tremendous progress has been made in neuroscience by employing simulation to...
Summarization: Neuromorphic computing is expanding by leaps and bounds through custom integrated cir...
For comprehensive understanding of how neurons communicate with each other, new tools need to be dev...
Here we describe the logical design and testing of a general-purpose neurocomputer, AMNIAC. It may b...
Despite the great strides neuroscience has made in recent decades, the underlying principles of brai...
For comprehensive understanding of how neurons communicate with each other, new tools need to be dev...
A parallel architecture for implementing massive neural networks, called MindShape, is presented. Mi...
In this study, we present a highly configurable neuromorphic computing substrate and use it for emul...
Porrmann M, Witkowski U, Kalte H, Rückert U. Dynamically Reconfigurable Hardware – A New Perspective...
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