Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.
In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
Abstract: We consider the distributed memory parallel multiplication of a sparse matrix by a dense matrix (SpMM). The dense matrix is often a collection of dense vectors. Standard implementations will ...
Abstract: Deep Neural Networks (DNNs) require highly efficient matrix multiplication engines for complex computations. This paper presents a Systolic Array (SA) architecture incorporating novel exact ...
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