公开(公告)号：US20190095399A1

公开(公告)日：2019-03-28

申请号：US15716225

申请日：2017-09-26

Applicant: Oracle International Corporation

Inventor： Gaurav Chadha ,  Sam Idicula ,  Sandeep Agrawal ,  Nipun Agarwal

IPC: G06F17/16 ,  G06F17/12 ,  G06F7/523

Abstract: Techniques are described herein for performing efficient matrix multiplication in architectures with scratchpad memories or associative caches using asymmetric allocation of space for the different matrices. The system receives a left matrix and a right matrix. In an embodiment, the system allocates, in a scratchpad memory, asymmetric memory space for tiles for each of the two matrices as well as a dot product matrix. The system proceeds with then performing dot product matrix multiplication involving the tiles of the left and the right matrices, storing resulting dot product values in corresponding allocated dot product matrix tiles. The system then proceeds to write the stored dot product values from the scratchpad memory into main memory.

公开(公告)号：US12072953B2

公开(公告)日：2024-08-27

申请号：US17349817

申请日：2021-06-16

Applicant: Oracle International Corporation

Inventor： Gaurav Chadha ,  Sam Idicula ,  Sandeep Agrawal ,  Nipun Agarwal

IPC: G06F17/16 ,  G06F7/523 ,  G06F17/12

CPC classification number: G06F17/16 ,  G06F7/523 ,  G06F17/12

Abstract: Techniques are described herein for performing efficient matrix multiplication in architectures with scratchpad memories or associative caches using asymmetric allocation of space for the different matrices. The system receives a left matrix and a right matrix. In an embodiment, the system allocates, in a scratchpad memory, asymmetric memory space for tiles for each of the two matrices as well as a dot product matrix. The system proceeds with then performing dot product matrix multiplication involving the tiles of the left and the right matrices, storing resulting dot product values in corresponding allocated dot product matrix tiles. The system then proceeds to write the stored dot product values from the scratchpad memory into main memory.

公开(公告)号：US11138291B2

公开(公告)日：2021-10-05

申请号：US15716225

申请日：2017-09-26

Applicant: Oracle International Corporation

Inventor： Gaurav Chadha ,  Sam Idicula ,  Sandeep Agrawal ,  Nipun Agarwal

IPC: G06F17/16 ,  G06F7/523 ,  G06F17/12

Abstract: Techniques are described herein for performing efficient matrix multiplication in architectures with scratchpad memories or associative caches using asymmetric allocation of space for the different matrices. The system receives a left matrix and a right matrix. In an embodiment, the system allocates, in a scratchpad memory, asymmetric memory space for tiles for each of the two matrices as well as a dot product matrix. The system proceeds with then performing dot product matrix multiplication involving the tiles of the left and the right matrices, storing resulting dot product values in corresponding allocated dot product matrix tiles. The system then proceeds to write the stored dot product values from the scratchpad memory into main memory.

公开(公告)号：US20210312014A1

公开(公告)日：2021-10-07

申请号：US17349817

申请日：2021-06-16

Applicant: Oracle International Corporation

Inventor： Gaurav Chadha ,  Sam Idicula ,  Sandeep Agrawal ,  Nipun Agarwal

IPC: G06F17/16 ,  G06F7/523 ,  G06F17/12

Abstract: Techniques are described herein for performing efficient matrix multiplication in architectures with scratchpad memories or associative caches using asymmetric allocation of space for the different matrices. The system receives a left matrix and a right matrix. In an embodiment, the system allocates, in a scratchpad memory, asymmetric memory space for tiles for each of the two matrices as well as a dot product matrix. The system proceeds with then performing dot product matrix multiplication involving the tiles of the left and the right matrices, storing resulting dot product values in corresponding allocated dot product matrix tiles. The system then proceeds to write the stored dot product values from the scratchpad memory into main memory.