In situ transposition

US10698975B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10698975-B2
Application numberUS-201616063793-A
CountryUS
Kind codeB2
Filing dateJan 27, 2016
Priority dateJan 27, 2016
Publication dateJun 30, 2020
Grant dateJun 30, 2020

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Abstract

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Example implementations of the present disclosure relate to in situ transposition of the data values in a memory array. An example system may include a non-volatile memory (NVM) array, including a plurality of NVM elements, usable in performance of computations. The example system may include an input engine to input a plurality of data values for storage by a corresponding plurality of original NVM elements. The example system may further include a transposition engine to direct performance of the in situ transposition such that the plurality of data values remains stored by the original NVM elements.

First claim

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What is claimed is: 1. A system, comprising: a non-volatile memory (NVM) array, comprising a plurality of NVM elements, usable in performance of computations; an input engine to input a plurality of data values for storage by a corresponding plurality of original NVM elements; and a transposition engine to direct performance of in situ transposition such that the plurality of data values remains stored by the original NVM elements wherein: the transposition engine directs selectable coupling of a digital to analog converter (DAC) resource and an analog to digital converter (ADC) resource; and the selectable coupling performs the in situ transposition by a row of NVM elements operating as a column and a column of NVM elements operating as a row. 2. The system of claim 1 , wherein: the input engine inputs the plurality of data values for storage at original positions of a two dimensional matrix of the corresponding plurality of the original NVM elements; and the transposition engine directs performance of the in situ transposition such that the plurality of data values remains stored at the original positions. 3. The system of claim 1 , wherein at least one NVM element is a resistive memory element. 4. The system of claim 1 , wherein the NVM array is a dot product engine (DPE) to store the input plurality of data values as a matrix. 5. The system of claim 1 , wherein the system further comprises: a truncate engine to send a truncate signal; and a truncate transistor associated with a row select wire at a particular location to disable, based on receipt of the truncate signal, a row signaling path at the particular location; and wherein to disable the row signaling path at the particular location isolates a column of NVM elements intersected by a row of NVM elements to reduce activation of NVM elements to a subset of columns of the NVM array. 6. A non-transitory machine-readable medium storing instructions executable by a processing resource to: input a plurality of data values for storage at original positions of a two dimensional matrix of a corresponding plurality of non-volatile memory (NVM) elements of an NVM array; selectably couple, via a first DAC/ADC multiplexer, row wires of the NVM array to one of a digital to analog converter (DAC) resource and an analog to digital converter (ADC) resource; selectably couple, via a second DAC/ADC multiplexer, column wires of the NVM array to the other one of the DAC resource and the ADC resource; and perform in situ transposition of the plurality of data values by the selectably coupled DAC and ADC resources enabling rows of the NVM elements to operate as columns and columns of NVM elements to operate as rows; and wherein the plurality of data values remains stored at the original positions of the two dimensional matrix. 7. The medium of claim 6 , the instructions further executable to: decouple, via the first DAC/ADC multiplexer, a coupled DAC resource from a row wire and couple the ADC resource to the row wire for the in situ transposition; and decouple, via the second DAC/ADC multiplexer, a coupled ADC resource from a column wire and couple the DAC resource to the column wire for the in situ transposition. 8. A method, comprising: operating a non-volatile memory (NVM) array, comprising a plurality of NVM elements, as a plurality of dot product engines (DPEs); storing, as a matrix, a plurality of data values by a corresponding plurality of original NVM elements; performing in situ transposition of the plurality of data values such that the plurality of data values remains stored by the original NVM elements; inputting a multibit input vector to the plurality of DPEs as one bit per DPE; and wherein the plurality of DPEs corresponds to the number of bits in the multibit input vector. 9. The method of claim 8 , further comprising: performing vector-matrix multiplication between the multibit input vector and the plurality of transposed data values stored as the matrix by the original NVM elements. 10. A system, comprising: a non-volatile memory (NVM) array, comprising a plurality of NVM elements, usable in performance of computations; an input engine to input a plurality of data values for storage by a corresponding plurality of original NVM elements; a transposition engine to direct performance of in situ transposition such that the plurality of data values remains stored by the original NVM elements a digital to analog converter (DAC) resource; an analog to digital converter (ADC) resource; a first DAC/ADC multiplexer to selectably couple row wires of the NVM array to one of the DAC resource and the ADC resource; and a second DAC/ADC multiplexer to selectably couple column wires of the NVM array to the other one of the DAC resource and the ADC resource. 11. The system of claim 10 , wherein at least one NVM element is a resistive memory element. 12. The system of claim 10 , wherein the NVM array is a dot product engine (DPE) to store the input plurality of data values as a matrix. 13. The system of claim 10 , wherein: the first DAC/ADC multiplexer is selectably coupled to the row wires of the NVM array via a first data multiplexer; and the second DAC/ADC multiplexer is selectably coupled to the column wires of the NVM array via a second data multiplexer. 14. The system of claim 10 , wherein: the DAC resource comprises a plurality of DACs that corresponds to a plurality of physical rows or columns in the NVM array; and the ADC resource comprises at least one ADC that is time multiplexable by a subset of the plurality of physical rows and columns in the NVM array such that a number of ADCs is less than the plurality of physical rows or columns. 15. A method, comprising: operating a non-volatile memory (NVM) array, comprising a plurality of NVM elements, as a plurality of dot product engines (DPEs); storing, as a matrix, a plurality of data values by a corresponding plurality of original NVM elements; performing in situ transposition of the plurality of data values such that the plurality of data values remains stored by the original NVM elements; inputting a multibit input vector to a row wire of the DPE via a digital to analog converter (DAC) resource having a corresponding multibit DAC selectably coupled to the row wire; and inputting a single bit input vector directly to the row wire of the DPE without using the DAC resource.

Assignees

Inventors

Classifications

  • G06G7/16Primary

    for multiplication or division {(G06G7/19 and G06G7/24 take precedence; measuring electric power G01R21/00)} · CPC title

  • Storage of analogue signals in digital stores using an arrangement comprising analogue/digital [A/D] converters, digital memories and digital/analogue [D/A] converters · CPC title

  • comprising metal oxide memory material, e.g. perovskites · CPC title

  • using resistive RAM [RRAM] elements · CPC title

  • Bit-line or column circuits · CPC title

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What does patent US10698975B2 cover?
Example implementations of the present disclosure relate to in situ transposition of the data values in a memory array. An example system may include a non-volatile memory (NVM) array, including a plurality of NVM elements, usable in performance of computations. The example system may include an input engine to input a plurality of data values for storage by a corresponding plurality of origina…
Who is the assignee on this patent?
Hewlett Packard Entpr Dev Lp
What technology area does this patent fall under?
Primary CPC classification G06G7/16. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 30 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).