Hardware acceleration for computing eigenpairs of a matrix
Опубликовано: 06-03-2024
Автор(ы): Chai Wah Wu, Lior Horesh, Malte Johannes Rasch, Mark Squillante, Oguzhan Murat Onen, Tayfun Gokmen, Tomasz Nowicki, Vasileios Kalantzis, Wilfried Haensch
Принадлежит: International Business Machines Corp
Реферат: Techniques are provided to implement hardware accelerated computing of eigenpairs of a matrix. For example, a system includes a processor, and a resistive processing unit coupled to the processor. The resistive processing unit includes an array of cells which include respective resistive devices, wherein at least a portion of the resistive devices are tunable to encode values of a given matrix which is storable in the array of cells. When the given matrix is stored in the array of cells, the processor is configured to determine an eigenvector of the stored matrix by executing a process which includes performing analog matrix-vector multiplication operations on the stored matrix to converge an initial vector to an estimate of the eigenvector of the stored matrix.
Hardware acceleration for computing eigenpairs of a matrix
Номер патента: WO2022228883A1. Автор: Tayfun Gokmen,Chai Wah Wu,Lior Horesh,Wilfried Haensch,Mark Squillante,Tomasz Nowicki,Oguzhan Murat Onen,Malte Johannes Rasch,Vasileios Kalantzis. Владелец: Ibm United Kingdom Limited. Дата публикации: 2022-11-03.