A nonvolatile associative memory-based context-driven search engine using 90 nm CMOS/MTJ-hybrid logic-in-memory architecture
This paper presents algorithm, architecture, and fabrication results of a nonvolatile context-
driven search engine that reduces energy consumption as well as computational delay …
driven search engine that reduces energy consumption as well as computational delay …
Algorithm and architecture for a low-power content-addressable memory based on sparse clustered networks
We propose a low-power content-addressable memory (CAM) employing a new algorithm
for associativity between the input tag and the corresponding address of the output data. The …
for associativity between the input tag and the corresponding address of the output data. The …
Twin neurons for efficient real-world data distribution in networks of neural cliques: Applications in power management in electronic circuits
Associative memories are data structures that allow retrieval of previously stored messages
given part of their content. They, thus, behave similarly to the human brain's memory that is …
given part of their content. They, thus, behave similarly to the human brain's memory that is …
A low-power content-addressable memory based on clustered-sparse networks
A low-power Content-Addressable Memory (CAM) is introduced employing a new
mechanism for associativity between the input tags and the corresponding address of the …
mechanism for associativity between the input tags and the corresponding address of the …
Hardware implementation of associative memories based on multiple-valued sparse clustered networks
N Onizawa, H Jarollahi, T Hanyu… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
This paper presents algorithms and hardware implementations of associative memories
based on multiple-valued sparse clustered networks (MV-SCNs). SCNs are recently …
based on multiple-valued sparse clustered networks (MV-SCNs). SCNs are recently …
Algorithm and implementation of an associative memory for oriented edge detection using improved clustered neural networks
R Danilo, H Jarollahi, V Gripon… - … on Circuits and …, 2015 - ieeexplore.ieee.org
Associative memories are capable of retrieving previously stored patterns given parts of
them. This feature makes them good candidates for pattern detection in images. Clustered …
them. This feature makes them good candidates for pattern detection in images. Clustered …
Algorithm and architecture of fully-parallel associative memories based on sparse clustered networks
Associative memories retrieve stored information given partial or erroneous input patterns. A
new family of associative memories based on Sparse Clustered Networks (SCNs) has been …
new family of associative memories based on Sparse Clustered Networks (SCNs) has been …
Clone-based encoded neural networks to design efficient associative memories
H Wouafo, C Chavet, P Coussy - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
In this paper, we introduce a neural network (NN) model named clone-based neural network
(CbNN) to design associative memories. Neurons in CbNN can be cloned statically or …
(CbNN) to design associative memories. Neurons in CbNN can be cloned statically or …
Subclassing XP: Breaking its rules the right way
G Luck - Agile Development Conference, 2004 - ieeexplore.ieee.org
Extreme programming encourages adoption of all of its practices. In practice many projects
drop practices. What remains can be an incomplete methodology, which is dangerous. This …
drop practices. What remains can be an incomplete methodology, which is dangerous. This …
Selective decoding in associative memories based on sparse-clustered networks
H Jarollahi, N Onizawa… - 2013 IEEE Global …, 2013 - ieeexplore.ieee.org
Associative memories are structures that can retrieve previously stored information given a
partial input pattern instead of an explicit address as in indexed memories. A few hardware …
partial input pattern instead of an explicit address as in indexed memories. A few hardware …