公开(公告)号：US09710265B1

公开(公告)日：2017-07-18

申请号：US15462180

申请日：2017-03-17

Applicant: Google Inc.

Inventor： Olivier Temam ,  Ravi Narayanaswami ,  Harshit Khaitan ,  Dong Hyuk Woo

IPC: G06F9/30 ,  G06F13/28 ,  G06N3/04

CPC classification number: G06F9/3001 ,  G06F9/30065 ,  G06F13/28 ,  G06N3/04 ,  G06N3/0454 ,  G06N3/063

Abstract: A computing unit is disclosed, comprising a first memory bank for storing input activations and a second memory bank for storing parameters used in performing computations. The computing unit includes at least one cell comprising at least one multiply accumulate (“MAC”) operator that receives parameters from the second memory bank and performs computations. The computing unit further includes a first traversal unit that provides a control signal to the first memory bank to cause an input activation to be provided to a data bus accessible by the MAC operator. The computing unit performs one or more computations associated with at least one element of a data array, the one or more computations being performed by the MAC operator and comprising, in part, a multiply operation of the input activation received from the data bus and a parameter received from the second memory bank.

公开(公告)号：US20180365561A1

公开(公告)日：2018-12-20

申请号：US15627022

申请日：2017-06-19

Applicant: Google Inc.

Inventor： Olivier Temam ,  Harshit Khaitan ,  Ravi Narayanaswami ,  Dong Hyuk Woo

IPC: G06N3/08 ,  G06N99/00

CPC classification number: G06N3/08 ,  G06F8/4441 ,  G06F8/452 ,  G06F9/50 ,  G06N99/005 ,  G06T1/20

Abstract: Methods, systems, and apparatus for accessing a N-dimensional tensor are described. In some implementations, a method includes, for each of one or more first iterations of a first nested loop, performing iterations of a second nested loop that is nested within the first nested loop until a first loop bound for the second nested loop is reached. A number of iterations of the second nested loop for the one or more first iterations of the first nested loop is limited by the first loop bound in response to the second nested loop having a total number of iterations that exceeds a value of a hardware property of the computing system. After a penultimate iteration of the first nested loop has completed, one or more iterations of the second nested loop are performed for a final iteration of the first nested loop until an alternative loop bound is reached.

公开(公告)号：US20180121196A1

公开(公告)日：2018-05-03

申请号：US15335769

申请日：2016-10-27

Applicant: Google Inc.

Inventor： Olivier Temam ,  Ravi Narayanaswami ,  Harshit Khaitan ,  Dong Hyuk Woo

IPC: G06F9/30 ,  G06F13/28

CPC classification number: G06F9/3001 ,  G06F9/30065 ,  G06F13/28 ,  G06N3/04 ,  G06N3/0454 ,  G06N3/063

Abstract: A computing unit is disclosed, comprising a first memory bank for storing input activations and a second memory bank for storing parameters used in performing computations. The computing unit includes at least one cell comprising at least one multiply accumulate (“MAC”) operator that receives parameters from the second memory bank and performs computations. The computing unit further includes a first traversal unit that provides a control signal to the first memory bank to cause an input activation to be provided to a data bus accessible by the MAC operator. The computing unit performs one or more computations associated with at least one element of a data array, the one or more computations being performed by the MAC operator and comprising, in part, a multiply operation of the input activation received from the data bus and a parameter received from the second memory bank.

公开(公告)号：US09846837B1

公开(公告)日：2017-12-19

申请号：US15336216

申请日：2016-10-27

Applicant: Google Inc.

Inventor： Ravi Narayanaswami ,  Dong Hyuk Woo ,  Olivier Temam ,  Harshit Khaitan

IPC: G06N3/04

CPC classification number: G06N3/04 ,  G06F13/28

Abstract: A computer-implemented method that includes receiving, by a processing unit, an instruction that specifies data values for performing a tensor computation. In response to receiving the instruction, the method may include, performing, by the processing unit, the tensor computation by executing a loop nest comprising a plurality of loops, wherein a structure of the loop nest is defined based on one or more of the data values of the instruction. The tensor computation can be at least a portion of a computation of a neural network layer. The data values specified by the instruction may comprise a value that specifies a type of the neural network layer, and the structure of the loop nest can be defined at least in part by the type of the neural network layer.

公开(公告)号：US09836691B1

公开(公告)日：2017-12-05

申请号：US15455685

申请日：2017-03-10

Applicant: Google Inc.

Inventor： Ravi Narayanaswami ,  Dong Hyuk Woo ,  Olivier Temam ,  Harshit Khaitan

IPC: G06N3/04 ,  G06F13/28

CPC classification number: G06N3/04 ,  G06F13/28 ,  G06N3/0454 ,  G06N3/063

Abstract: A computer-implemented method that includes receiving, by a processing unit, an instruction that specifies data values for performing a tensor computation. In response to receiving the instruction, the method may include, performing, by the processing unit, the tensor computation by executing a loop nest comprising a plurality of loops, wherein a structure of the loop nest is defined based on one or more of the data values of the instruction. The tensor computation can be at least a portion of a computation of a neural network layer. The data values specified by the instruction may comprise a value that specifies a type of the neural network layer, and the structure of the loop nest can be defined at least in part by the type of the neural network layer.