The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory with a huge address space. The physical memory consists of substantially fewer locations than the virtual address space. In earlier implemen- tations of the SDM memory the addresses of all physical locations had to be scanned to determine which locations to activate. This is time-consuming, and massive parallel hardware support is needed for other than small appli- cations. This paper introduces a new mechanism for finding the active locations. Using this access mechanism, the access time may be speeded up several orders of magnitude
A more efficient way of reading the SDM memory is presented. This is accomplished by using implicit ...
This communication presents an algorithm for searching in the Aho-Ullman dynamic memory consisting o...
A new design for a Sparse Distributed Memory, called the selected-coordinate design, is described. A...
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory with a huge add...
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory wit...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
We are attacking the memory bottleneck by building a “smart ” memory controller that improves effect...
The Sparsely Distributed Memory (SDM) developed by Kanerva is an unconventional memory design with v...
If the stored input patterns of Kanerva's Sparse Distributed Memory (SDM) are highly correlated, uti...
It has been suggested that in certain situations it would make sense to use different activation pro...
A new method for converging in the SDM memory, utilizing the Jaeckel/Karlsson activation mechanism, ...
A general class of designs for a space distributed memory (SDM) is described. The author shows that ...
The optimal probability of activation and the corresponding performance is studied for three design...
Journal ArticleThe BBN Butterfly? Parallel Processor is a commercially-available multiprocessor whic...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
A more efficient way of reading the SDM memory is presented. This is accomplished by using implicit ...
This communication presents an algorithm for searching in the Aho-Ullman dynamic memory consisting o...
A new design for a Sparse Distributed Memory, called the selected-coordinate design, is described. A...
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory with a huge add...
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory wit...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
We are attacking the memory bottleneck by building a “smart ” memory controller that improves effect...
The Sparsely Distributed Memory (SDM) developed by Kanerva is an unconventional memory design with v...
If the stored input patterns of Kanerva's Sparse Distributed Memory (SDM) are highly correlated, uti...
It has been suggested that in certain situations it would make sense to use different activation pro...
A new method for converging in the SDM memory, utilizing the Jaeckel/Karlsson activation mechanism, ...
A general class of designs for a space distributed memory (SDM) is described. The author shows that ...
The optimal probability of activation and the corresponding performance is studied for three design...
Journal ArticleThe BBN Butterfly? Parallel Processor is a commercially-available multiprocessor whic...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
A more efficient way of reading the SDM memory is presented. This is accomplished by using implicit ...
This communication presents an algorithm for searching in the Aho-Ullman dynamic memory consisting o...
A new design for a Sparse Distributed Memory, called the selected-coordinate design, is described. A...